Podcasts about Atlassian

BONUS: Swimming in Tech Debt — Practical Techniques to Keep Your Team from Drowning in Its Codebase In this fascinating conversation, veteran software engineer and author Lou Franco shares hard-won lessons from decades at startups, Trello, and Atlassian. We explore his book "Swimming in Tech Debt," diving deep into the 8 Questions framework for evaluating tech debt decisions, personal practices that compound over time, team-level strategies for systematic improvement, and leadership approaches that balance velocity with sustainability. Lou reveals why tech debt is often the result of success, how to navigate the spectrum between ignoring debt and rewriting too much, and practical techniques individuals, teams, and leaders can use starting today. The Exit Interview That Changed Everything "We didn't go slower by paying tech debt. We went actually faster, because we were constantly in that code, and now we didn't have to run into problems." — Lou Franco   Lou's understanding of tech debt crystallized during an exit interview at Atalasoft, a small startup where he'd spent years. An engineer leaving the company confronted him: "You guys don't care about tech debt." Lou had been focused on shipping features, believing that paying tech debt would slow them down. But this engineer told a different story — when they finally fixed their terrible build and installation system, they actually sped up. They were constantly touching that code, and removing the friction made everything easier. This moment revealed a fundamental truth: tech debt isn't just about code quality or engineering pride. It's about velocity, momentum, and the ability to move fast sustainably. Lou carried this lesson through his career at Trello (where he learned the dangers of rewriting too much) and Atlassian (where he saw enterprise-scale tech debt management). These experiences became the foundation for "Swimming in Tech Debt." Tech Debt Is the Result of Success "Tech debt is often the result of success. Unsuccessful projects don't have tech debt." — Lou Franco   This reframes the entire conversation about tech debt. Failed products don't accumulate debt — they disappear before it matters. Tech debt emerges when your code survives long enough to outlive its original assumptions, when your user base grows beyond initial expectations, when your team scales faster than your architecture anticipated. At Atalasoft, they built for 10 users and got 100. At Trello, mobile usage exploded beyond their web-first assumptions. Success creates tech debt by changing the context in which code operates. This means tech debt conversations should happen at different intensities depending on where you are in the product lifecycle. Early startups pursuing product-market fit should minimize tech debt investments — move fast, learn, potentially throw away the code. Growth-stage companies need balanced approaches. Mature products benefit significantly from tech debt investments because operational efficiency compounds over years. Understanding this lifecycle perspective helps teams make appropriate decisions rather than applying one-size-fits-all rules. The 8 Questions Framework for Tech Debt Decisions "Those 8 questions guide you to what you should do. If it's risky, has regressions, and you don't even know if it's gonna work, this is when you're gonna do a project spike." — Lou Franco   Lou introduces a systematic framework for evaluating whether to pay tech debt, inspired by Bob Moesta's push-pull forces from product management. The 8 questions create a complete picture:   Visibility — Will people outside the team understand what we're doing? Alignment — Does this match our engineering values and target architecture? Resistance — How hard is this code to work with right now? Volatility — How often do we touch this code? Regression Risk — What's the chance we'll introduce new problems? Project Size — How big is this to fix? Estimate Risk — How uncertain are we about the effort required? Outcome Uncertainty — How confident are we the fix will actually improve things?   High volatility and high resistance with low regression risk? Pay the debt now. High regression risk with no tests? Write tests first, then reassess. Uncertain outcomes on a big project? Do a spike or proof of concept. The framework prevents both extremes — ignoring costly debt and undertaking risky rewrites without proper preparation. Personal Practices That Compound Daily "When I sit down at my desk, the first thing I do is I pay a little tech debt. I'm looking at code, I'm about to change it, do I even understand it? Am I having some kind of resistance to it? Put in a little helpful comment, maybe a little refactoring." — Lou Franco   Lou shares personal habits that create compounding improvements over time. Start each coding session by paying a small amount of tech debt in the area you're about to work — add a clarifying comment, extract a confusing variable, improve a function name. This warms you up, reduces friction for your actual work, and leaves the code slightly better than you found it. The clean-as-you-go philosophy means tech debt never accumulates faster than you can manage it. But Lou's most powerful practice comes at the end of each session: mutation testing by hand. Before finishing for the day, deliberately break something — change a plus to minus, a less-than to less-than-or-equal. See if tests catch it. Often they don't, revealing gaps in test coverage. The key insight: don't fix it immediately. Leave that failing test as the bridge to tomorrow's coding session. It connects today's momentum to tomorrow's work, ensuring you always start with context and purpose rather than cold-starting each day. Mutation Testing: Breaking Things on Purpose "Before I'm done working on a coding session, I break something on purpose. I'll change a plus to a minus, a less than to a less than equals, and see if tests break. A lot of times tests don't break. Now you've found a problem in your test." — Lou Franco   Manual mutation testing — deliberately breaking code to verify tests catch the break — reveals a critical gap in most test suites. You can have 100% code coverage and still have untested behavior. A line of code that's executed during tests isn't necessarily tested — the test might not actually verify what that line does. By changing operators, flipping booleans, or altering constants, you discover whether your tests protect against actual logic errors or just exercise code paths. Lou recommends doing this manually as part of your daily practice, but automated tools exist for systematic discovery: Stryker (for JavaScript, C#, Scala) and MutMut (for Python) can mutate your entire codebase and report which mutations survive uncaught. This isn't just about test quality — it's about understanding what your code actually does and building confidence that changes won't introduce subtle bugs. Team-Level Practices: Budgets, Backlogs, and Target Architecture "Create a target architecture document — where would we be if we started over today? Every PR is an opportunity to move slightly toward that target." — Lou Franco   At the team level, Lou advocates for three interconnected practices. First, create a target architecture document that describes where you'd be if starting fresh today — not a detailed design, but architectural patterns, technology choices, and structural principles that represent current best practices. This isn't a rewrite plan; it's a North Star. Every pull request becomes an opportunity to move incrementally toward that target when touching relevant code. Second, establish a budget split between PM-led feature work and engineering-led tech debt work — perhaps 80/20 or whatever ratio fits your product lifecycle stage. This creates predictable capacity for tech debt without requiring constant negotiation. Third, hold quarterly tech debt backlog meetings separate from sprint planning. Treat this backlog like PMs treat product discovery — explore options, estimate impacts, prioritize based on the 8 Questions framework. Some items fit in sprints; others require dedicated engineers for a quarter or two. This systematic approach prevents tech debt from being perpetually deprioritized while avoiding the opposite extreme of engineers disappearing into six-month "improvement" projects with no visible progress. The Atlassian Five-Alarm Fire "The Atlassian CTO's 'five-alarm fire' — stopping all feature development to focus on reliability. I reduced sync errors by 75% during that initiative." — Lou Franco   Lou shares a powerful example of leadership-driven tech debt management at scale. The Atlassian CTO called a "five-alarm fire" — halting all feature development across the company to focus exclusively on reliability and tech debt. This wasn't panic; it was strategic recognition that accumulated debt threatened the business. Lou worked on reducing sync errors, achieving a 75% reduction during this focused period. The initiative demonstrated several leadership principles: willingness to make hard calls that stop revenue-generating feature work, clear communication of why reliability matters strategically, trust that teams will use the time wisely, and commitment to see it through despite pressure to resume features. This level of intervention is rare and shouldn't be frequent, but it shows what's possible when leadership truly prioritizes tech debt. More commonly, leaders should express product lifecycle constraints (startup urgency vs. mature product stability), give teams autonomy to find appropriate projects within those constraints, and require accountability through visible metrics and dashboards that show progress. The Rewrite Trap: Why Big Rewrites Usually Fail "A system that took 10 years to write has implicit knowledge that can't be replicated in 6 months. I'm mostly gonna advocate for piecemeal migrations along the way, reducing the size of the problem over time." — Lou Franco   Lou lived through Trello's iOS navigation rewrite — a classic example of throwing away working code to start fresh, only to discover all the edge cases, implicit behaviors, and user expectations baked into the "old" system. A codebase that evolved over several years contains implicit knowledge — user workflows, edge case handling, performance optimizations, and subtle behaviors that users rely on even if they never explicitly requested them. Attempting to rewrite this in six months inevitably misses critical details. Lou strongly advocates for piecemeal migrations instead. The Trello "Decaffeinate Project" exemplifies this approach — migrating from CoffeeScript to TypeScript incrementally, with public dashboards showing the percentage remaining, interoperable technologies allowing gradual transition, and the ability to pause or reverse if needed. Keep both systems running in parallel during migrations. Use runtime observability to verify new code behaves identically to old code. Reduce the problem size steadily over months rather than attempting big-bang replacements. The only exception: sometimes keeping parallel systems requires scaffolding that creates its own complexity, so evaluate whether piecemeal migration is actually simpler or if you're better off living with the current system. Making Tech Debt Visible Through Dashboards "Put up a dashboard, showing it happen. Make invisible internal improvements visible through metrics engineering leadership understands." — Lou Franco   One of tech debt's biggest challenges is invisibility — non-technical stakeholders can't see the improvement from refactoring or test coverage. Lou learned to make tech debt work visible through dashboards and metrics. The Decaffeinate Project tracked percentage of CoffeeScript files remaining, providing a clear progress indicator anyone could understand. When reducing sync errors, Lou created dashboards showing error rates declining over time. These visualizations serve multiple purposes: they demonstrate value to leadership, create accountability for engineering teams, build momentum as progress becomes visible, and help teams celebrate wins that would otherwise go unnoticed. The key is choosing metrics that matter to the business — error rates, page load times, deployment frequency, mean time to recovery — rather than pure code quality metrics like cyclomatic complexity that don't translate outside engineering. Connect tech debt work to customer experience, reliability, or developer productivity in ways leadership can see and value. Onboarding as a Tech Debt Opportunity "Unit testing is a really great way to learn a system. It's like an executable specification that's helping you prove that you understand the system." — Lou Franco   Lou identifies onboarding as an underutilized opportunity for tech debt reduction. When new engineers join, they need to learn the codebase. Rather than just reading code or shadowing, Lou suggests having them write unit tests in areas they're learning. This serves dual purposes: tests are executable specifications that prove understanding of system behavior, and they create safety nets in areas that likely lack coverage (otherwise, why would new engineers be confused by the code?). The new engineer gets hands-on learning, the team gets better test coverage, and everyone wins. This practice also surfaces confusing code — if new engineers struggle to understand what to test, that's a signal the code needs clarifying comments, better naming, or refactoring. Make onboarding a systematic tech debt reduction opportunity rather than passive knowledge transfer. Leadership's Role: Constraints, Autonomy, and Accountability "Leadership needs to express the constraints. Tell the team what you're feeling about tech debt at a high level, and what you think generally is the appropriate amount of time to be spent on it. Then give them autonomy." — Lou Franco   Lou distills leadership's role in tech debt management to three elements. First, express constraints — communicate where you believe the product is in its lifecycle (early startup, rapid growth, mature cash cow) and what that means for tech debt tolerance. Are we pursuing product-market fit where code might be thrown away? Are we scaling a proven product where reliability matters? Are we maintaining a stable system where operational efficiency pays dividends? These constraints help teams make appropriate trade-offs. Second, give autonomy — once constraints are clear, trust teams to identify specific tech debt projects that fit those constraints. Engineers understand the codebase's pain points better than leaders do. Third, require accountability — teams must make their work visible through dashboards, metrics, and regular updates. Autonomy without accountability becomes invisible engineering projects that might not deliver value. Accountability without autonomy becomes micromanagement that wastes engineering judgment. The balance creates space for teams to make smart decisions while keeping leadership informed and confident in the investment. AI and the Future of Tech Debt "I really do AI-assisted software engineering. And by that, I mean I 100% review every single line of that code. I write the tests, and all the code is as I would have written it, it's just a lot faster. Developers are still responsible for it. Read the code." — Lou Franco   Lou has a chapter about AI in his book, addressing the elephant in the room: will AI-generated code create massive tech debt? His answer is nuanced. AI can accelerate development tremendously if used correctly — Lou uses it extensively but reviews every single line, writes all tests himself, and ensures the code matches what he would have written manually. The problem emerges with "vibe coders" — non-developers using AI to generate code they don't understand, creating unmaintainable messes that become someone else's problem. Developers remain responsible for all code, regardless of how it's generated. This means you must read and understand AI-generated code, not blindly accept it. Lou also raises supply chain security concerns — dependencies can contain malicious code, and AI might introduce vulnerabilities developers miss. His recommendation: stay six months behind on dependency updates, let others discover the problems first, and consider separate sandboxed development machines to limit security exposure. AI is a powerful tool, but it doesn't eliminate the need for engineering judgment, testing discipline, or code review practices. The Style Guide Beyond Formatting "Have a style guide that goes beyond formatting to include target architecture. This is the kind of code we want to write going forward." — Lou Franco   Lou advocates for style guides that extend beyond tabs-versus-spaces formatting rules to include architectural guidance. Document patterns you want to move toward: how should components be structured, what state management approaches do we prefer, how should we handle errors, what testing patterns should we follow? This creates a shared understanding of the target architecture without requiring a massive design document. When reviewing pull requests, teams can reference the style guide to explain why certain approaches align with where the codebase is headed versus perpetuating old patterns. This makes tech debt conversations less personal and more objective — it's not about criticizing someone's code, it's about aligning with team standards and strategic direction. The style guide becomes a living document that evolves as the team learns and technology changes, capturing collective wisdom about what good code looks like in your specific context. Recommended Resources Some of the resources mentioned in this episode include:  Steve Blank's Four Steps To Epiphany The podcast episode with Bernie Maloney where we discuss the critical difference between "enterprise" and "startup". And Geoffrey Moore's Crossing the Chasm, and Dealing with Darwin.   About Lou Franco   Lou Franco is a veteran software engineer and author of Swimming in Tech Debt. With decades of experience at startups, as well as Trello, and Atlassian, he's seen both sides of debt—as coder and leader. Today, he advises teams on engineering practices, helping them turn messy codebases into momentum.   You can link with Lou Franco on LinkedIn and learn more at LouFranco.com.

Brandon Sammut (Chief People and AI Transformation Officer at Zapier), Jenny Molyneaux (VP of People, Vercel), and Valerie Gobeil (Head of Talent Management, Workleap) joined us for a live session on how HR teams are actually using AI today. We talked about how to get organizations AI-ready, avoid “AI debt,” make smarter build vs buy decisions, and we walked through live demos of AI-powered performance reviews, hiring workflows, interview coaching, engagement insights, and more.----  Downloadable PDF with top takeaways: https://modernpeopleleader.kit.com/episode272Sponsor Links:

The right rituals—and the right conversations—can transform how your team collaborates.Strong collaboration starts with thoughtful practices and clear communication. As Molly Sands, Head of the Teamwork Lab at Atlassian, emphasizes, the teams that thrive are the ones that regularly pause to align on what matters and how they're progressing. “You want to know if you're making progress,” she notes, “and you want ways to redirect early—before you're scrambling at the end.”Through her research with teams across Atlassian and around the world, Sands has seen how small, consistent habits—monthly goal reviews, transparent updates, shared spaces for spontaneous interaction—build alignment, psychological safety, and momentum. And in hybrid and distributed environments, she highlights how “bursty” collaboration patterns and intentional meeting design help teams move faster without burning out.In this Quick Thinks episode of Think Fast, Talk Smart, Sands and host Matt Abrahams break down the rituals that make teamwork work, from OKR check-ins to collaboration hours to the rotating Chief Vibes Officer. No matter where your team sits, Sands shows how intentional communication unlocks connection, speed, and more satisfying ways of working together.Episode Reference Links:Molly SandsEp.241 Team Spirit: How to Make Group Work WorkConnect:Premium Signup >>>> Think Fast Talk Smart PremiumEmail Questions & Feedback >>> hello@fastersmarter.ioEpisode Transcripts >>> Think Fast Talk Smart WebsiteNewsletter Signup + English Language Learning >>> FasterSmarter.ioThink Fast Talk Smart >>> LinkedIn, Instagram, YouTubeMatt Abrahams >>> LinkedInChapters:(00:00) - Introduction (02:43) - Measuring Collaboration the Right Way (05:35) - Training Leaders & Goal Rituals (07:49) - Creating Space for Spontaneous Work (11:20) - Making In-Person Time Count (11:44) - Three High-Impact Team Gatherings (14:00) - Supporting Diverse Communication Styles (16:08) - Conclusion  ********Thank you to our sponsors.  These partnerships support the ongoing production of the podcast, allowing us to bring it to you at no cost. Go to Quince.com/ThinkFast for free shipping on your order and 365-day returns. Join our Think Fast Talk Smart Learning Community and become the communicator you want to be.

What if losing your life savings on your first investment at age 27 became the catalyst for understanding why 90% of startups get stuck for the same psychological reasons? That's exactly what happened to Dave Hersh, founding CEO of Jive, board partner at Andreessen Horowitz, and author of Reignition. Dave grew Jive from an open-source project to a NASDAQ IPO, bootstrapping to $12 million over five years before raising venture capital. But when he watched Atlassian, a comparison company that started at the same time, stay on their original trajectory and become worth over $20 billion while Jive eventually died on the public markets, he realized fear and insecurity had driven his capital decision rather than genuine strategy. That painful lesson shaped everything Dave now teaches as an executive coach and General Partner at Metamorph Partners. After working with hundreds of stuck companies, he discovered that 90% of failures trace back to the same psychological patterns. Not cash. Not product market fit. Not competition. Subconscious patterns driving decisions without founders knowing. The statistics are sobering. Between 80 to 95% of founders suffer mental health issues while running their companies. Even successful founders have an 85% chance of experiencing depression or struggles for up to 10 years post-exit. Only 15% are truly thriving after they sell. Dave introduces his inner board meeting framework, which helps founders identify the internal parts driving major decisions. The child wanting safety. The hero wanting to save everyone. The warrior that cannot let go. When you understand these patterns, you can work toward compromises that break through stalemates. The conversation covers when and why to raise capital versus bootstrap, the transition process between identities that most founders skip, and the human-first competitive moats that will define success in the AI era. For founders navigating capital decisions, stuck companies, or the complex terrain after exit, this episode offers a different lens on what actually determines outcomes. FOR MORE ON THIS EPISODE: https://www.coreykupfer.com/blog/davehersh FOR MORE ON DAVE HERSH:https://www.linkedin.com/in/davehersh/https://one-in-ten-thousand.beehiiv.com/ FOR MORE ON COREY KUPFERhttps://www.linkedin.com/in/coreykupfer/https://www.coreykupfer.com/ Corey Kupfer is an expert strategist, negotiator, and dealmaker. He has more than 35 years of professional deal-making and negotiating experience. Corey is a successful entrepreneur, attorney, consultant, author, and professional speaker. He is deeply passionate about deal-driven growth. He is also the creator and host of the DealQuest Podcast. Get deal-ready with the DealQuest Podcast with Corey Kupfer, where like-minded entrepreneurs and business leaders converge, share insights and challenges, and success stories. Equip yourself with the tools, resources, and support necessary to navigate the complex yet rewarding world of dealmaking. Dive into the world of deal-driven growth today! Episode Highlights with Timestamps [00:00] - Introduction: Dave Hersh's journey from dot-com era to executive coaching [02:30] - Growing up in Newport, Rhode Island with no entrepreneurial modeling [05:15] - First entrepreneurial experience: selling ninja weapons to neighborhood kids [07:45] - Arriving in New York on September 10th, 2001 and founding Jive [12:00] - Bootstrapping to $12 million over five years without outside capital [16:30] - The Facebook moment and decision to raise venture capital in 2006 [21:00] - Why founders equate raising money with success and the 10% reality [25:45] - The Atlassian comparison and what could have been a $20 billion outcome [30:15] - Mental health statistics: 80-95% of founders suffer while running companies [34:00] - Post-exit malaise: 85% of successful founders struggle for up to 10 years [43:00] - Identifying internal parts: the child, hero, warrior, and insecure parts [51:30] - Human-first moats in the AI era Guest Bio Dave Hersh is an executive coach, speaker, and investor based in San Francisco with over 30 years of experience in strategy, startups, and conscious leadership. He was the founding CEO of Jive, which he grew from an open-source project to a NASDAQ IPO. He also spent two years as a Board Partner (investor) at the venture capital firm Andreessen Horowitz. He is the author of Reignition, a playbook for helping startups get unstuck and find their breakthrough, and is working on a new book about enlightened leadership in the era of AI. Dave currently serves as General Partner at Metamorph Partners. Host Bio Corey Kupfer is an expert strategist, negotiator, and dealmaker with more than 35 years of professional deal-making and negotiating experience. Corey is a successful entrepreneur, attorney, consultant, author, and professional speaker deeply passionate about deal-driven growth. He is the creator and host of the DealQuest Podcast. Show Description Do you want your business to grow faster? The DealQuest Podcast with Corey Kupfer reveals how successful entrepreneurs and business leaders use strategic deals to accelerate growth. From large mergers and acquisitions to capital raising, joint ventures, strategic alliances, real estate deals, and more, this show discusses the full spectrum of deal-driven growth strategies. Get the confidence to pursue deals that will help your company scale faster. Related Episodes Episode 366 - Jodi Hume: Founder Exits and the Emotional Journey Behind Major Business Decisions: Explore the psychological dimensions of exits and what founders need to prepare for beyond the transaction. Episode 350 - Tom Dillon: When NOT to Take Venture Capital Money: Discover alternative funding sources and how to evaluate whether VC is right for your business model. Episode 302 - Laurie Barkman: Preparing for a Successful Exit with Business Transition Insights: Learn the practical steps for getting your business exit-ready. Episode 328 - Richard Manders: Post-Exit Transitions and Finding Purpose After Selling Your Company: Understand how successful founders navigate identity after major exits. Social Media Follow DealQuest Podcast:LinkedIn: https://www.linkedin.com/in/coreykupfer/Website: https://www.coreykupfer.com/ Follow Dave HershLinkedIn: https://www.linkedin.com/in/davehersh/ Newsletter: https://one-in-ten-thousand.beehiiv.com/ Keywords/Tags founder mental health, post-exit depression, startup psychology, venture capital decision, inner work for CEOs, executive coaching entrepreneurs, identity after exit, bootstrap versus venture capital, founder burnout, stuck companies, inner board meeting, conscious leadership, Jive Software, Andreessen Horowitz, Reignition book, founder transitions, ego in business, capital raising psychology, entrepreneurial mental health, exit preparation, business identity, human-first leadership, AI era leadership

The secret to effective teamwork and collaboration.To collaborate, we have to communicate. As Molly Sands knows, “The more that we can get on the same page, the more effective we are.”Sands is a behavioral scientist and the head of the Teamwork Lab at Atlassian, where she researches how teams can collaborate more effectively and efficiently, especially in distributed and hybrid work environments. As she's seen in her research and within her own team, “People can accomplish a lot more together when they work well together.” The key to unlocking that potential lies in communication that aligns people not just in their activity, but in their deeper goals and vision. “The best work happens when you start by asking why,” she says, “getting people to really understand: why is this a problem, why do we wanna solve it, and how are we uniquely positioned to do that? The more that we can map this out together, the more effective our teams tend to be.”In this episode of Think Fast, Talk Smart, Sands and host Matt Abrahams discuss strategies for effective collaboration, from “page-led” meetings and asynchronous video messages to using AI as a collaborator. Whether your team is working face-to-face or across time zones, Sands' insights show how better communication is the key to better collaboration.Episode Reference Links:Molly SandsEp.241 Team Spirit: How to Make Group Work WorkConnect:Premium Signup >>>> Think Fast Talk Smart PremiumEmail Questions & Feedback >>> hello@fastersmarter.ioEpisode Transcripts >>> Think Fast Talk Smart WebsiteNewsletter Signup + English Language Learning >>> FasterSmarter.ioThink Fast Talk Smart >>> LinkedIn, Instagram, YouTubeMatt Abrahams >>> LinkedInChapters:(00:00) - Introduction (02:32) - How the Teamwork Lab Works (04:03) - Top Challenges for Teams (04:37) - Clarifying Goals & Alignment (07:19) - AI as a Collaborative Partner (09:25) - Atlassian's AI Onboarding Buddy (12:49) - Rethinking Meetings (15:58) - Three Types of Work Time (17:17) - Replacing Meetings with Asynchronous Video (20:02) - The Final Three Questions (24:11) - Conclusion  ********This episode is sponsored by Grammarly. Let Grammarly take the busywork off your plate so you can focus on high-impact work. Download Grammarly for free today Join our Think Fast Talk Smart Learning Community and become the communicator you want to be.

DJ Casto joined us on The Modern People Leader to share how Synchrony is co-designing the future of work with employees.We talked about active listening at scale, building trust by being great not perfect, rethinking leadership for a flexible workforce, and why treating the employee experience like a product creates real business impact.---- Downloadable PDF with top takeaways: https://modernpeopleleader.kit.com/episode271Sponsor Links:

What if the secret to building an authentic, successful career isn't a linear path, but embracing the chaos of a playground model and leveraging your most human qualities?In this episode of Glass Ceilings and Sticky Floors, Erica Rooney sits down with Ashley Faus, Head of Lifecycle Management at Atlassian and author of the upcoming book, Human-Centered Marketing, How to Connect with Audiences in the Age of AI. Ashley brings a fresh perspective, blending her deep expertise in marketing and technology with her background in musical theater and vocal performance.Join them as they explore how the empathy skills of a theater kid translate directly into high-level business strategy, and how women can build true trust, authority, and influence using Ashley's four pillars of thought leadership.Inside the Episode:The Theater Kid to Tech Leader Pipeline: Ashley reveals the surprising synergy between musical theater and marketing, explaining how stepping into a character's shoes directly translates into high-level audience empathy and strategic business connection.The Problem with "Bright Girls": A discussion on why the linear structure of traditional education is a disservice to high-achieving women, leading them to believe that career snags mean they're "not smart."The Career as a Playground: Why the traditional career funnel doesn't work and how to view your professional journey as a playground where you can climb the slide or use skills in "the wrong way" (e.g., a lateral move) for massive long-term growth.The Checkers vs. Chess Promotion Rule: Critical advice for ambitious women on how to play the "smart game of checkers" for 12 months after a promotion, avoiding the frustration of unrealistic growth expectations in large companies.The Four Pillars of Thought Leadership: Ashley breaks down her framework for building influence: Credibility, Profile, Being Prolific, and Depth of Ideas. Learn which pillar is likely your weakest point and how to strengthen it.Building Trust in the Age of AI: The three essential human elements (Logic, Empathy, and Authenticity) that are critical for building genuine trust and authority when the digital world is flooded with AI-generated content.The Minimum Viable Action (MVA): A practical strategy for managing your energy and relationships, maintaining a "warm" baseline (e.g., a quick text) so you don't always have to start from zero.If you're ready to embrace a non-linear career path and use your innate human connection skills to build lasting influence and authority, this episode is your strategic guide.

In this episode of The Unlearn Podcast, Barry O'Reilly is joined by Steve Elliott, a serial entrepreneur, product leader, and investor with two decades of experience advising high-growth companies. Steve is the founder of Dotwork, an AI-driven platform that connects strategy to execution, and co-founder of The Uncertainty Project, a community for product leaders focused on better decision-making.He previously served as Head of Product at Atlassian, where he helped scale Jira Align after selling his company AgileCraft for $166M—earning recognition as a Fortune Best Small Business in America and a finalist for the Ernst & Young Entrepreneur of the Year. With five successful exits under his belt, Steve brings rare depth to the art of building and unbuilding what no longer serves.In this conversation, Barry and Steve explore how to design for the messy reality of modern work, the role of unlearning in leadership, and how AI is redefining what it means to be a decisive company.Key TakeawaysFrom CTO to CEO – Why Steve transitioned from tech leader to founder and the personal growth that came with it.Scaling after acquisition – The emotional and strategic shifts required when your startup becomes part of a larger machine.Why strategy execution breaks – Most alignment tools assume order—Steve builds for complexity.Agentic AI in the enterprise – How Dotwork uses knowledge graphs and AI to surface insight in context, not just dashboards.Decisive companies – What it really means to help leaders make faster, more confident decisions.Additional InsightsUnlearning the idea that startups are for the young—Steve didn't found his first company until his 40s.How Dotwork is building a “context memory engine” for both executives and AI agents.The future of AI-native tools isn't more interfaces—it's less friction and smarter context delivery.Why the most valuable enterprise products aren't flashy—they're quiet, ambient, and deeply integrated.Episode Highlights00:00 – Episode RecapSteve Elliott shares how each startup exit taught him something new—but also how returning to the founder's seat means unlearning old assumptions. Now, with Dotwork, he's not just building a tool—he's rethinking how organizations make decisions in complexity.01:45 – Guest Introduction: Steve ElliottBarry introduces Steve Elliott, founder of AgileCraft (acquired by Atlassian) and CEO of Dotwork, with a track record of five successful exits and a deep focus on enterprise work management.03:40 – Early career shiftsFrom a consulting career at PwC to software experiments that took off—how Steve found his way into entrepreneurship.08:55 – From technologist to founderThe value of combining tech expertise with business empathy—and why startups offer unmatched learning opportunities.11:05 – Unlearning post-acquisition mindsets What Steve had to unlearn transitioning from CEO to leader within a larger company—and back again.13:36 – Building tools for strategic decisionsWhy enterprise tools fail to support real-time, strategic decisions—and how Steve is tackling the problem differently.17:50 – The rise of agentic frameworksHow Dotwork is using knowledge graphs and agentic AI to reflect the dynamic, decentralized nature of modern...

What if the secret to building an authentic, successful career isn't a linear path, but embracing the chaos of a playground model and leveraging your most human qualities?In this episode of Glass Ceilings and Sticky Floors, Erica Rooney sits down with Ashley Faus, Head of Lifecycle Management at Atlassian and author of the upcoming book, Human-Centered Marketing, How to Connect with Audiences in the Age of AI. Ashley brings a fresh perspective, blending her deep expertise in marketing and technology with her background in musical theater and vocal performance.Join them as they explore how the empathy skills of a theater kid translate directly into high-level business strategy, and how women can build true trust, authority, and influence using Ashley's four pillars of thought leadership.Inside the Episode:The Theater Kid to Tech Leader Pipeline: Ashley reveals the surprising synergy between musical theater and marketing, explaining how stepping into a character's shoes directly translates into high-level audience empathy and strategic business connection.The Problem with "Bright Girls": A discussion on why the linear structure of traditional education is a disservice to high-achieving women, leading them to believe that career snags mean they're "not smart."The Career as a Playground: Why the traditional career funnel doesn't work and how to view your professional journey as a playground where you can climb the slide or use skills in "the wrong way" (e.g., a lateral move) for massive long-term growth.The Checkers vs. Chess Promotion Rule: Critical advice for ambitious women on how to play the "smart game of checkers" for 12 months after a promotion, avoiding the frustration of unrealistic growth expectations in large companies.The Four Pillars of Thought Leadership: Ashley breaks down her framework for building influence: Credibility, Profile, Being Prolific, and Depth of Ideas. Learn which pillar is likely your weakest point and how to strengthen it.Building Trust in the Age of AI: The three essential human elements (Logic, Empathy, and Authenticity) that are critical for building genuine trust and authority when the digital world is flooded with AI-generated content.The Minimum Viable Action (MVA): A practical strategy for managing your energy and relationships, maintaining a "warm" baseline (e.g., a quick text) so you don't always have to start from zero.If you're ready to embrace a non-linear career path and use your innate human connection skills to build lasting influence and authority, this episode is your strategic guide.

Taylor and Melanie joined The Modern People Leader to unpack how HR teams can get out from under compliance chaos and admin overload to focus on business impact.---- Downloadable PDF with top takeaways: https://modernpeopleleader.kit.com/episode270Sponsor Links:

This week we're discussing The Atlassian Builders Summit, which was created and produced by friends of the program: Alex and Lina Ortiz.  Joining Alex, Lina, and myself is Moser's very own Marc Brickley, who not only attended the Atlassian Builders Summit, but was also a presenter. We dive into the Summit, how it came to be, how the planning went, and give a special preview for what's coming up next for these Atlassian creators. 

Jeanne DeWitt Grosser built world-class GTM teams at Stripe, Google, and, most recently, Vercel, where she serves as COO and oversees marketing, sales, customer success, revenue operations, and field engineering. She transformed Stripe's early sales organization from the ground up and advises founders on GTM strategy.We discuss:1. Why GTM is becoming more strategically important in the AI era2. The rise of the GTM engineer3. A primer on segmentation4. How to build a sales org that engineers and product teams respect5. The changing calculus of build vs. buy for go-to-market tools in the AI era6. Why most customers buy to avoid pain rather than to gain upside—Brought to you by:Datadog—Now home to Eppo, the leading experimentation and feature flagging platform: https://www.datadoghq.com/lennyLovable—Build apps by simply chatting with AI: https://lovable.dev/Stripe—Helping companies of all sizes grow revenue: https://stripe.com/—Transcript: https://www.lennysnewsletter.com/p/what-the-best-gtm-teams-do-differently—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/179503137/my-biggest-takeaways-from-this-conversation—Where to find Jeanne DeWitt Grosser:• X: https://x.com/jdewitt29• LinkedIn: https://www.linkedin.com/in/jeannedewitt—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Jeanne DeWitt Grosser(05:26) Defining go-to-market(08:43) The evolution of go-to-market roles(11:23) The rise of the go-to-market engineer(14:21) Implementing AI in sales processes(15:28) Optimizing sales with AI agents(23:47) Defining sales roles: SDRs and AEs(26:04) When to hire a GTM engineer(29:04) Hiring and scaling sales teams(30:50) The ideal go-to-market engineer(34:24) The go-to-market tool stack(40:39) Advice on building a great sales bot(44:34) Vercel's unfair advantage(46:37) Go-to-market as a product(47:04) Innovative sales tactics at Stripe(52:38) Effective go-to-market tactics(01:00:37) Segmentation strategies(01:09:31) Building a sales org that engineers love(01:14:00) Thoughts on PLG and pricing(01:16:44) Sales compensation and hiring(01:19:24) Lightning round and final thoughts—Referenced:• Vercel: https://vercel.com• Stripe: https://stripe.com• Rosalind Franklin: https://en.wikipedia.org/wiki/Rosalind_Franklin• Ben Salzman on LinkedIn: https://www.linkedin.com/in/bensalzman• SDK: https://ai-sdk.dev/docs/introduction• Gong: https://www.gong.io• Lyft: https://www.lyft.com• Instacart: https://www.instacart.com• DoorDash: https://www.instacart.com• “Sell the alpha, not the feature”: The enterprise sales playbook for $1M to $10M ARR | Jen Abel: https://www.lennysnewsletter.com/p/the-enterprise-sales-playbook-1m-to-10m-arr• A step-by-step guide to crafting a sales pitch that wins | April Dunford (author of Obviously Awesome and Sales Pitch): https://www.lennysnewsletter.com/p/a-step-by-step-guide-to-crafting• Kate Jensen on LinkedIn: https://www.linkedin.com/in/kateearle• Lessons from scaling Stripe | Claire Hughes Johnson (former COO of Stripe): https://www.lennysnewsletter.com/p/lessons-from-scaling-stripe-tactics• Atlassian: atlassian.com—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

What does it really mean to run a company that aims to be "good" before it ever thinks about becoming "great"? That was the question sitting with me as I sat down with Appfire's CEO, Matt Dircks. The conversation took us straight into the heart of modern leadership, purpose, and the realities of running a global SaaS business during a period of change. Matt has led organisations through rapid growth, mergers, cultural resets, and shifting market expectations. What stood out in our discussion was how open he is about the parts of leadership that are messy. He talked about transparency, dealing with hard decisions, and the challenge of building a culture where people feel safe enough to be honest without losing accountability. His philosophy is grounded in something simple. You cannot scale trust unless you behave in ways that earn it every day. We explored how Appfire is evolving beyond its acquisition roots, expanding from Atlassian aligned tools into cross platform solutions that support enterprises across Microsoft, Salesforce, GitHub and more. Matt explained why the company is investing heavily in new AI native products and why being close to customers is becoming a priority as their needs become more complex. He also shared how openness, active communication, and a willingness to be challenged guide the way he leads through uncertainty. The more we talked, the clearer it became that Appfire's next chapter is a blend of product innovation, cultural maturity, and a renewed focus on service. Matt's story offers a useful lens for anyone wrestling with questions about values, growth, and the human side of technology. What does a "good company" look like in practice, and how does that shape the road to long term success? I'd love to hear what resonated with you, so let me know your thoughts. Useful Links Connect With Matt Dircks on LinkedIn Learn more about Appfire The No Asshole Rule: Building a Civilized Workplace and Surviving One That Isn't by Robert I. Sutton  Range: Why Generalists Triumph in a Specialized World by David Epstein Tech Talks Daily is Sponsored by NordLayer: Get the exclusive Black Friday offer: 28% off NordLayer yearly plans with the coupon code: techdaily-28. Valid until December 10th, 2025. Try it risk-free with a 14-day money-back guarantee.  

Celebrate gratitude with The Jira Life as Atlassian Community leaders, creators, and champions share what they're thankful for in 2025. From Team 25 in Anaheim and Barcelona meetups, to certifications, career changes, community events, and the Atlassian Builder Summit, this special episode highlights the people, partners, and experiences shaping our ecosystem. Hear heartfelt messages from champions, creators, partners, and longtime contributors who make the Atlassian world thrive. Whether you're a Jira admin, power user, ACE leader, or community member, this episode captures the spirit of connection, growth, and support that defines our community.Thank you to Revyz for backing us up and making The Jira Life possible. https://www.revyz.io/Music by=========================================================Intro: Nitro Fun - Cheat Codeshttps://www.youtube.com/c/monstercatOutro: Fractal - Atriumhttps://www.youtube.com/c/monstercatinstinct =========================================================The Flow of Time by Alex-Productions https://soundcloud.com/alexproductionsmusicCreative Commons — Attribution 3.0 Unported — CC BY 3.0Free Download / Stream: http://audiolibrary.com.co/alex-productions/the-flow-of-timeMusic promoted by Audio Library https://youtu.be/jqIDnltiDRI

We continue our AI Tools series with a deep dive into using Large Language Models (LLMs) for research, featuring Slobodan (Sani) Manić, AI skeptic, podcaster, and founder of the AI Fluency Club. Sani joins Matt and Moshe to share why context, careful prompting, and critical thinking are essential for getting real value out of today's LLMs in product work. Drawing on his work as a product builder, educator, and host of No Hacks Podcast, Sani challenges common myths about AI's capabilities and underscores both its practical uses and its risks for product managers. The conversation ranges from practical workflows to future visions of invisible AI, open-source models, and the real state of the “wrapper economy” built on major LLM providers. Join Matt, Moshe, and Sani as they explore: - Why most LLM workflows boil down to two mindsets: understanding your work, or avoiding understanding it - The crucial role of context and authority, why careless prompting leads to hallucinations, and how to break questions into smaller steps for better results - How LLMs fit as accelerators for deep research, surfacing insights faster than classic search engines, but always requiring fact-checking - Why Sani uses Google's Gemini and NotebookLM, and the value of integration with your company's existing tools - The open-source LLM alternative: privacy, flexibility, and why some see this as the future for secure enterprise AI - Pitfalls of the “wrapper economy,” vendor lock-in, and shaky business models based on reselling tokens - Starting out: how to include LLMs in PM research without reinventing your workflow, and why you must be careful with company data - The risks and limitations of AI today, especially in enterprise and sensitive environments - How internal AI context in tools like Atlassian makes those LLM features uniquely powerful - Future predictions: AI that fades into the background, plus the big unanswered questions about interface and humanoid robots - Sani's approach to AI education, success stories from AI Fluency Club, and what executives need to learn to stay ahead - And much more! Want to learn more or join Sani's community? - LinkedIn: Slobodan (Sani) Manić https://www.linkedin.com/in/sl... - No Hacks Podcast http://nohackspod.com/ - AI Fluency Club https://aifluencyclub.com/ You can also connect with us and find more episodes: - Product for Product Podcast http://linkedin.com/company/pr... - Matt Green https://www.linkedin.com/in/ma... - Moshe Mikanovsky http://www.linkedin.com/in/mik... Note: Any views mentioned in the podcast are the sole views of our hosts and guests, and do not represent the products mentioned in any way. Please leave us a review and feedback ⭐️⭐️⭐️⭐️⭐️

If you had millions of people using a product you spent years building, would you kill it?That's exactly what The Browser Company did with Arc.Originally recorded in July before The Browser Company's acquisition by software giant Atlassian earlier this year, we're republishing this episode because its lessons are truly timeless. Today, the team continues to operate independently under Atlassian's umbrella.The internet backlash when the company killed Arc in May 2025 was intense, but cofounders Josh Miller and Hursh Agrawal saw that AI was about to make the web something you talk to, not just click into. The best home for that assistant was the thing that's already between you and the internet—the browser. And they realized they couldn't just duct-tape it on to Arc.One year of heads-down work later, the team launched Dia in beta, and people are raving about it. Dia is a sleek, fast, browser with AI at its core—it gets better with every tab you open, becoming more and more helpful with time. And even though it's still early, Josh and Hursh's big pivot looks like one for the ages.In this episode of AI & I, Josh and Hursh spoke for the first time in a full-length podcast about their pivot from Arc to Dia. We talked through their decision-making process, the very public backlash the company faced, and the grit it took to stay the course. If you found this episode interesting, please like, subscribe, comment, and share! Want even more?Sign up for Every to unlock our ultimate guide to prompting ChatGPT here: https://every.ck.page/ultimate-guide-to-prompting-chatgpt. It's usually only for paying subscribers, but you can get it here for free.To hear more from Dan Shipper:Subscribe to Every: https://every.to/subscribe Follow him on X: https://twitter.com/danshipper Timestamps:00:00:00 - Start00:00:48 - Introduction 00:02:22 - The story of how Dan might've been the CEO of The Browser Company 00:09:40 - The moment Josh and Hursh knew they had to walk away from Arc 00:16:59 - How to handle the weight of the unknown in a pivot 00:23:24 - The prototype-driven culture that kept The Browser Company alive 00:25:06 - Why having a product loved by millions of users isn't enough 00:32:12 - The architectural decisions underlying how Dia was built 00:46:04 - How Dia almost shipped without its best feature 00:50:45 - The best ways people are using Dia in the wild 01:07:27 - How Josh and Hursh think about competing with incumbents 01:17:13 - How romanticism informs the product decisions behind Dia Links to resources mentioned in the episode:Hursh Agrawal: @hurshJosh Miller: @joshmMore about Dia: https://www.diabrowser.com/Writer and investor M.G. Siegler's essay about the AI browser wars: https://spyglass.org/ai-browser-wars/Note: This episode is a rerun from our archives.

AI Assisted Coding: Swimming in AI - Managing Tech Debt in the Age of AI-Assisted Coding In this special episode, Lou Franco, veteran software engineer and author of "Swimming in Tech Debt," shares his practical approach to AI-assisted coding that produces the same amount of tech debt as traditional development—by reading every line of code. He explains the critical difference between vibecoding and AI-assisted coding, why commit-by-commit thinking matters, and how to reinvest productivity gains into code quality. Vibecoding vs. AI-Assisted Coding: Reading Code Matters "I read all the code that it outputs, so I need smaller steps of changes."   Lou draws a clear distinction between vibecoding and his approach to AI-assisted coding. Vibecoding, in his definition, means not reading the code at all—just prompting, checking outputs, and prompting again. His method is fundamentally different: he reads every line of generated code before committing it. This isn't just about catching bugs; it's about maintaining architectural control and accountability. As Lou emphasizes, "A computer can't be held accountable, so a computer can never make decisions. A human always has to make decisions." This philosophy shapes his entire workflow—AI generates code quickly, but humans make the final call on what enters the repository. The distinction matters because it determines whether you're managing tech debt proactively or discovering it later when changes become difficult. The Moment of Shift: Staying in the Zone "It kept me in the zone. It saved so much time! Never having to look up what a function's arguments were... it just saved so much time."   Lou's AI coding journey began in late 2022 with GitHub Copilot's free trial. He bought a subscription immediately after the trial ended because of one transformative benefit: staying in the flow state. The autocomplete functionality eliminated constant context switching to documentation, Stack Overflow searches, and function signature lookups. This wasn't about replacing thinking—it was about removing friction from implementation. Lou could maintain focus on the problem he was solving rather than getting derailed by syntax details. This experience shaped his understanding that AI's value lies in removing obstacles to productivity, not in replacing the developer's judgment about architecture and design. Thinking in Commits: The Right Size for AI Work "I think of prompts commit-by-commit. That's the size of the work I'm trying to do in a prompt."   Lou's workflow centers on a simple principle: size your prompts to match what should be a single commit. This constraint provides multiple benefits. First, it keeps changes small enough to review thoroughly—if a commit is too big to review properly, the prompt was too ambitious. Second, it creates a clear commit history that tells a story about how the code evolved. Third, it enables easy rollback if something goes wrong. This commit-sized thinking mirrors good development practices that existed long before AI—small, focused changes that each accomplish one clear purpose. Lou uses inline prompting in Cursor (Command-K) for these localized changes because it keeps context tight: "Right here, don't go look at the rest of my files... Everything you need is right here. The context is right here... And it's fast." The Tech Debt Question: Same Code, Same Debt "Based on the way I've defined how I did it, it's exactly the same amount of tech debt that I would have done on my own... I'm faster and can make more code, but I invest some of that savings back into cleaning things up."   As the author of "Swimming in Tech Debt," Lou brings unique perspective to whether AI coding creates more technical debt. His answer: not if you're reading and reviewing everything. When you maintain the same quality standards—code review, architectural oversight, refactoring—you generate the same amount of debt as manual coding. The difference is speed. Lou gets productivity gains from AI, and he consciously reinvests a portion of those gains back into code quality through refactoring. This creates a virtuous cycle: faster development enables more time for cleanup, which maintains a codebase that's easier for both humans and AI to work with. The key insight is that tech debt isn't caused by AI—it's caused by skipping quality practices regardless of how code is generated. When Vibecoding Creates Debt: AI Resistance as a Symptom "When you start asking the AI to do things, and it can't do them, or it undoes other things while it's doing them... you're experiencing the tech debt a different way. You're trying to make changes that are on your roadmap, and you're getting resistance from making those changes."   Lou identifies a fascinating pattern: tech debt from vibecoding (without code review) manifests as "AI resistance"—difficulty getting AI to make the changes you want. Instead of compile errors or brittle tests signaling problems, you experience AI struggling to understand your codebase, undoing changes while making new ones, or producing code with repetition and tight coupling. These are classic tech debt symptoms, just detected differently. The debt accumulates through architecture violations, lack of separation of concerns, and code that's hard to modify. Lou's point is profound: whether you notice debt through test failures or through AI confusion, the underlying problem is the same—code that's difficult to change. The solution remains consistent: maintain quality practices including code review, even when AI makes generation fast. Can AI Fix Tech Debt? Yes, With Guidance "You should have some acceptance criteria on the code... guide the LLM as to the level of code quality you want."   Lou is optimistic but realistic about AI's ability to address existing tech debt. AI can definitely help with refactoring and adding tests—but only with human guidance on quality standards. You must specify what "good code" looks like: acceptance criteria, architectural patterns, quality thresholds. Sometimes copy/paste is faster than having AI regenerate code. Very convoluted codebases challenge both humans and AI, so some remediation should happen before bringing AI into the picture. The key is recognizing that AI amplifies your approach—if you have strong quality standards and communicate them clearly, AI accelerates improvement. If you lack quality standards, AI will generate code just as problematic as what already exists. Reinvesting Productivity Gains in Quality "I'm getting so much productivity out of it, that investing a little bit of that productivity back into refactoring is extremely good for another kind of productivity."   Lou describes a critical strategy: don't consume all productivity gains as increased feature velocity. Reinvest some acceleration back into code quality through refactoring. This mirrors the refactor step in test-driven development—after getting code working, clean it up before moving on. AI makes this more attractive because the productivity gains are substantial. If AI makes you 30% faster at implementation, using 10% of that gain on refactoring still leaves you 20% ahead while maintaining quality. Lou explicitly budgets this reinvestment, treating quality maintenance as a first-class activity rather than something that happens "when there's time." This discipline prevents the debt accumulation that makes future work progressively harder. The 100x Code Concern: Accountability Remains Human "Directionally, I think you're probably right... this thing is moving fast, we don't know. But I'm gonna always want to read it and approve it."   When discussing concerns about AI generating 100x more code (and potentially 100x more tech debt), Lou acknowledges the risk while maintaining his position: he'll always read and approve code before it enters the repository. This isn't about slowing down unnecessarily—it's about maintaining accountability. Humans must make the decisions because only humans can be held accountable for those decisions. Lou sees potential for AI to improve by training on repository evolution rather than just end-state code, learning from commit history how codebases develop. But regardless of AI improvements, the human review step remains essential. The goal isn't to eliminate human involvement; it's to shift human focus from typing to thinking, reviewing, and making architectural decisions. Practical Workflow: Inline Prompting and Small Changes "Right here, don't go look at the rest of my files... Everything you need is right here. The context is right here... And it's fast."   Lou's preferred tool is Cursor with inline prompting (Command-K), which allows him to work on specific code sections with tight context. This approach is fast because it limits what AI considers, reducing both latency and irrelevant changes. The workflow resembles pair programming: Lou knows what he wants, points AI at the specific location, AI generates the implementation, and Lou reviews before accepting. He also uses Claude Code for full codebase awareness when needed, but the inline approach dominates his daily work. The key principle is matching tool choice to context needs—use inline prompting for localized changes, full codebase tools when you need broader understanding. This thoughtful tool selection keeps development efficient while maintaining control. Resources and Community Lou recommends Steve Yegge's upcoming book on vibecoding. His website, LouFranco.com, provides additional resources.    About Lou Franco   Lou Franco is a veteran software engineer and author of Swimming in Tech Debt. With decades of experience at startups, as well as Trello, and Atlassian, he's seen both sides of debt—as coder and leader. Today, he advises teams on engineering practices, helping them turn messy codebases into momentum.   You can link with Lou Franco on LinkedIn and visit his website at LouFranco.com.

THE GAME IS CHANGING! THE LINES ARE BLURRING! In a previous episode, we looked at the ways of extending the capabilities of Jira and other Atlassian tools: Marketplace Apps, Forge, and Rovo. Now, Rovo shows the promise of easing creation of both Rovo Agents and Forge Apps. What does this mean for the Atlassian admins, the Atlassian marketplace, and the Community in general. Join us for the discussion!Thank you to Revyz for backing us up and making The Jira Life possible. https://www.revyz.io/The Jira Life=====================================Having trouble keeping up with when we are live? Sign up for our Atlassian Community Group!https://ace.atlassian.com/the-jira-life/Or Follow us on LinkedIn!https://www.linkedin.com/company/the-jira-life/Become a member on YouTube to get access to perks:https://www.youtube.com/@thejiralife/joinHosts:- Alex "Dr. Jira" Ortizhttps://www.linkedin.com/in/alexortiz89/https://www.youtube.com/@ApetechTechTutorials- Rodney "The Jira Guy" Nissenhttps://www.linkedin.com/in/rgnissen/https://thejiraguy.com- Sarah Wrighthttps://www.linkedin.com/in/satwright/Producer:- "King Bob" Robert Wenhttps://www.linkedin.com/in/robert-wen-csm-spc6-a552051/Executive Producer: - Lina OrtizMusic provided by Monstercat:=====================================Intro: Nitro Fun - Cheat Codeshttps://www.youtube.com/c/monstercatOutro: Fractal - Atriumhttps://www.youtube.com/c/monstercatinstinct

Jessica Swank, Chief People Officer at Box, joined us on The Modern People Leader. We talked about building an "org brain", preparing managers to lead teams of humans plus agents, avoiding agent sprawl and tech debt, and why every people leader needs to start experimenting with AI personally to stay ahead.----  Downloadable PDF with top takeaways: https://modernpeopleleader.kit.com/episode269Sponsor Links:

Sherif Mansour, Head of AI at Atlassian, discusses bridging AI agents with massive-scale enterprise software deployment, drawing insights from Atlassian's millions of non-technical users. He shares his framework for avoiding "AI Slop" using Taste, Knowledge, and Workflow, and explains Atlassian's "Teamwork Graph" for complex enterprise queries beyond RAG. The conversation also explores the evolving relationship between AI and UI, and the shift from humans as workers to architects of AI-driven processes. This episode offers practical wisdom for both AI engineers and business leaders navigating the future of AI-enabled organizations. Sponsors: Framer: Framer is the all-in-one tool to design, iterate, and publish stunning websites with powerful AI features. Start creating for free and use code COGNITIVE to get one free month of Framer Pro at https://framer.com/design Tasklet: Tasklet is an AI agent that automates your work 24/7; just describe what you want in plain English and it gets the job done. Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai Shopify: Shopify powers millions of businesses worldwide, handling 10% of U.S. e-commerce. With hundreds of templates, AI tools for product descriptions, and seamless marketing campaign creation, it's like having a design studio and marketing team in one. Start your $1/month trial today at https://shopify.com/cognitive PRODUCED BY: https://aipodcast.ing CHAPTERS: (00:00) About the Episode (03:56) Atlassian's AI Vision (08:27) Trust, Authenticity, and Slop (14:10) Taste, Knowledge, and Workflow (Part 1) (17:33) Sponsors: Framer | Tasklet (20:14) Taste, Knowledge, and Workflow (Part 2) (Part 1) (29:51) Sponsor: Shopify (31:47) Taste, Knowledge, and Workflow (Part 2) (Part 2) (31:48) Technicals: RAG vs. Graphs (40:48) Forgetting, Cost, and Optimization (52:28) The Model Commoditization Debate (55:12) The Future of AI Interfaces (01:02:44) How AI Changes SaaS (01:09:43) Debating the One-Person Unicorn (01:16:17) Becoming a Workflow Architect (01:21:39) The Browser for Work (01:33:23) How Leaders Drive Adoption (01:39:26) Conclusion: Just Go Tinker (01:40:08) Outro SOCIAL LINKS: Website: https://www.cognitiverevolution.ai Twitter (Podcast): https://x.com/cogrev_podcast Twitter (Nathan): https://x.com/labenz LinkedIn: https://linkedin.com/in/nathanlabenz/ Youtube: https://youtube.com/@CognitiveRevolutionPodcast Apple: https://podcasts.apple.com/de/podcast/the-cognitive-revolution-ai-builders-researchers-and/id1669813431 Spotify: https://open.spotify.com/show/6yHyok3M3BjqzR0VB5MSyk

How will B2B SaaS Scaling be like in 2026, with AI Adoption, Pricing Shifts for Efficient Growth? This is quickly becoming the central focus for B2B SaaS leaders, as companies navigate rapid changes in technology, customer expectations, and competitive pressure. Recorded live at the SaaS Summit in Amsterdam, this episode of the Grow Your B2B SaaS podcast features a candid conversation with Romy de Groot, Chief of Staff at Atlassian. Drawing on her experience across startups, scale-ups, and Booking.com during the pandemic, Romy explains what will truly separate the SaaS companies that thrive in 2026 from those that fall behind, as AI transforms product development, pricing models evolve, and efficient growth becomes the new baseline for success.Key Timecodes(0:00) - How Atlassian Scales SaaS With AI: Live From SaaS Summit Amsterdam(0:51) - The Ex-Booking.com Strategist Driving Atlassian's Growth(1:09) - What Will Make or Break B2B SaaS in 2026(1:57) - The Death of Traditional SaaS Pricing?(2:17) - The Enterprise Contract Nightmare No One Talks About(2:58) - Per-Seat Pricing Is Dying—Here's What's Replacing It(3:27) - Freemium Is Broken in the AI Era—Here's Why(4:11) - VCs Are Done Funding Your Freemium Dreams(4:27) - Will AI Kill Startup Hiring? The Brutal Truth(5:33) - The 2026 Efficiency Playbook Every SaaS Founder Needs(6:26) - AI Can Now Automate Your Boring Work—But Not What You Think(7:23) - GTM Teams vs AI: The Speed War Is On(8:12) - No-Code + AI: Build Fast, Break Faster?(8:43) - Why Every B2B SaaS Needs an Affiliate Engine Now(9:28) - If You Built a GTM From Scratch in 2026—Start Here(10:36) - Do You Even Need VC Money Anymore?(11:13) - Your $500 MVP Won't Survive an $8M Pre-Seed Competitor(11:40) - The Smart Founder's Equity Strategy for 2026(12:27) - There Is No SaaS Silver Bullet—Stop Searching(12:52) - How to Make Strategy When Nothing Is Certain(13:33) - The Real 0→10K MRR Blueprint (That Actually Works)(14:41) - How to Scale From $10M to Hypergrowth—What Changes(16:58) - From $10M to a Billion? The Founder Mindset Shift(17:24) - Set Your Number: How Your Exit Target Shapes Everything(18:55) - Connect With Romy De Groot(18:56) - Subscribe or Miss the Next Big SaaS Insights

Grab your copy of the 2025 Customer Experience Benchmarks Report: everafter.ai/benchmarkIn this episode of the Customer Success Pro podcast, host Anika Zubair speaks with Alana Stoltzfus, a leader in digital customer success at Okta. They discuss the evolution of customer success, the importance of digital growth, and how Okta's Success Hub enhances customer experience through personalized recommendations. Alana shares insights on the tools and systems that power their digital success plans, the challenges faced in data management, and the lessons learned from building a scalable customer success program. The conversation emphasizes the need for continuous improvement and the importance of delivering value to customers.Chapters00:00 Introduction 02:52 Alana Stoltzfuss: Journey into Digital Customer Success05:46 The Evolution of Digital Customer Success at Okta08:43 Understanding Digital Growth and Customer Segmentation11:50 The Success Hub: Enhancing Customer Experience15:04 Personalization and Business Goals in Customer Success17:59 The Role of Digital Customer Success in Business Growth27:58 Tailored Customer Experiences for Gold and Silver Clients30:06 Personalized Communication and Value Realization32:29 Differentiated Messaging for Admins and Executives34:38 The Importance of Personalization in Customer Success36:36 Tools and Systems Powering Digital Success42:41 Lessons Learned and Future Directions in Customer SuccessConnect with Anika Zubair:Website: https://thecustomersuccesspro.com/LinkedIn:  https://www.linkedin.com/in/anikazubair/RevUP Academy: https://thecustomersuccesspro.com/revupConnect with Alana Stoltzfus:Linkedin: https://www.linkedin.com/in/alanastoltzfus/Alana leads the Automation & Scaled Insights team at Okta, where she drives efforts to increase customer adoption, retention, and growth at scale as part of the Digital Success motion. Through the delivery of data and insights to customers and customer-facing teams, as well as AI-powered experiences, she has enabled Okta to serve all customers from SMBs (via self-service) to its largest enterprise customers, not just to scale but also to more effectively drive better customer outcomes through deeply personalized experiences. Prior to Okta, Alana worked in roles across customer success, voice of customer, and digital success, most recently at LinkedIn and Atlassian. She lives in the Bay Area with her husband and 2 sons.Grab our FREE resources here: https://thecustomersuccesspro.com/resources Want to be our next podcast guest? Apply here: https://www.thecustomersuccesspro.com/podcast-guest Book Anika as a speaker at your next team event: https://www.thecustomersuccesspro.com/team-event

HOW MUCH DIRECTION TO NEW ATLASSIAN FEATURES SHOULD COME FROM THE USER POPULATION? - Joining us to discuss this topic is Jens Schumacher, former Atlassian and CEO of Released. Jens has a long history of working with "JAC" (jira.atlassian.com) and feels while it may have served its purpose long ago, there are other ways of balancing user desires with Atlassian priorities for better apps.Thank you to Revyz for backing us up and making The Jira Life possible. https://www.revyz.io/The Jira Life=====================================Having trouble keeping up with when we are live? Sign up for our Atlassian Community Group!https://lnkd.in/g5834KixOr Follow us on LinkedIn!https://lnkd.in/epszdbRjBecome a member on YouTube to get access to perks:https://lnkd.in/gzDWDAzNHosts:- Alex "Dr. Jira" Ortiz https://lnkd.in/eP2TQHcE https://lnkd.in/ewxmQs2s- Rodney "The Jira Guy" Nissen https://lnkd.in/exhJAMVm https://thejiraguy.com- Sarah Wright https://lnkd.in/gA6vNvmX Producer:- "King Bob" Robert Wen https://lnkd.in/gTpSr7_vExecutive Producer: - Lina OrtizMusic provided by Monstercat:=====================================Intro: Nitro Fun - Cheat Codeshttps://lnkd.in/eZp7w7ieOutro: Fractal - Atriumhttps://lnkd.in/eMpcN8rf

We dug into Foursquare's North Stars of vibrancy and velocity, applying design thinking to the people function, and their team-based performance model.---- Downloadable PDF with top takeaways: https://modernpeopleleader.kit.com/episode268Sponsor Links:

Transform how you communicate with tools that make your message stick.Sometimes the best way to explain an idea is to show it. That's why Loom was built — to make communication more visual, authentic, and efficient. By combining video, screen sharing, and AI-powered editing, Loom helps teams connect and collaborate asynchronously, no matter where they are.In this episode of the Think Fast, Talk Smart Tech Tools miniseries, host Matt Abrahams talks with Joe Thomas, co-founder and CEO of Loom, now part of Atlassian, about how asynchronous video can make communication clearer, faster, and more personal. They discuss why “show, don't tell” is such an effective communication principle, how authenticity builds trust, and why recording yourself might be one of the best ways to improve how you communicate.In addition to insight-packed discussions, this miniseries explores innovative tools that enhance the way we communicate and connect. Whether you want to make your presentations more memorable, craft stories that stick, or connect with your audience on a deeper level, these episodes will help you communicate with greater clarity, confidence, and impact.Episode Reference Links:Joe ThomasEp.227 Tech Tools: Move Your Audience By Moving Through Your PresentationEp.230 Tech Tools: Use Visuals to Your AdvantageEp.233 Tech Tools: Write with Confidence and ImpactEp.236 Tech Tools: Zeroing in on Your Email CommunicationEp.239 Tech Tools: How Smarter Scheduling Leads to Stronger Communication Connect:Premium Signup >>>> Think Fast Talk Smart PremiumEmail Questions & Feedback >>> hello@fastersmarter.ioEpisode Transcripts >>> Think Fast Talk Smart WebsiteNewsletter Signup + English Language Learning >>> FasterSmarter.ioThink Fast Talk Smart >>> LinkedIn, Instagram, YouTubeMatt Abrahams >>> LinkedInChapters:(00:00) - Introduction (01:18) - Loom Elevator Pitch (02:27) - Creation of Loom (03:50) - Show, Don't Tell: Using Video Effectively (09:15) - Favorite Communicator (10:19) - Communication Hack or Tool (13:22) - Conclusion  *******Thank you to our sponsors.  These partnerships support the ongoing production of the podcast, allowing us to bring it to you at no cost.Try Prezi today and get 25% off exclusively at prezi.com/thinkfast.

On today's episode of LaunchPod, we've got something special for you. Normally, you'd have to join us in person at one of the dinners we host for product leaders to hear this talk from Oji Udezue. But the response has been so great, we had to bring him onto the show again. Oji has previously held product leadership roles at Typeform, Twitter, Calendly, and Atlassian. Today, he's joining us to share a major problem in product delivery that he's seeing as AI adoption increases across teams. In this episode, we discuss: * The “three-speed problem,” as Oji calls it – how AI will bring about a 10x increase in engineering velocity. But where does that leave product management and go-to-market teams if they can't keep up? * Why AI is a BS term, as it's really five new AND distinct capabilities – and how to use those as a framework for smarter product strategy * And how his “shipyard model” for product teams will ensure you keep up and thrive, even as AI reshapes how we build software Links Oji's LinkedIn: https://www.linkedin.com/in/ojiudezue/ ProductMind: https://www.productmind.co/ Building Rocketships: Product Management for High-Growth Companies: https://www.productmind.co/building-rocketships-book Resources Oji's past LaunchPod episode: https://www.productmind.co/building-rocketships-book Claude: https://claude.ai/ Cursor: https://cursor.com/ Windsurf: https://windsurf.com/ Chapters 00:00 Introduction 1:21 Building Rocket Ships by Oji and Ezinne Udezue 1:55 What is the shipyard model in product? 5:20 The evolution of technology: Why AI is just a new technology level 7:50 The 5 flavors of AI 13:23 The limiting function of development is no longer the speed of engineering – but what is it now? 17:05 Solving the three-speed problem 21:32 Conclusion Follow LaunchPod on YouTube We have a new YouTube page (https://www.youtube.com/@LaunchPodPodcast)! Watch full episodes of our interviews with PM leaders and subscribe! What does LogRocket do? LogRocket's Galileo AI watches user sessions for you and surfaces the technical and usability issues holding back your web and mobile apps. Understand where your users are struggling by trying it for free at LogRocket.com (https://logrocket.com/signup/?pdr). Special Guest: Oji Udezue.

Our conversation with Atlassian's Axel Sooriah is the fourth in a series that Product Momentum recorded at INDUSTRY. And it's interesting to see the common themes that are emerging – serendipitously – most notably that even as AI casts its long shadow over all things product, our recent episodes seem to be bringing us back … Continued The post 176 / Axel Sooriah: Discovery Done Right To Drive Product Success appeared first on ITX Corp..

The key to longevity in today's ever-changing tech landscape? Yes, you've heard it before: maintaining a positive outlook and a growth mindset so you can remain as versatile as possible. Easier said than done? Perhaps. But this week's guest, Japna Sethi, absolutely embodies this. Japna runs the Jira product group at Atlassian, and has turned her origins in physics and materials science into a career that spans hardware design, software development, growth product management, advising, angel investing, even real estate. Hear about her path and be inspired by her advice on networking, lifelong learning, and doubling down on your strengths. Japna encourages us to get to know our authentic selves better, and to engage in regular, healthy bouts of self-reflection. 00:00 Introduction 01:48 An unusual path to product management06:08 The scientific method works for product, too09:15 Always be learning10:13 Double down on your strengths12:45 Leverage network effects13:38 How to think about angel investing15:30 The “Get Sh*t Done” framework21:00 Why we should be excited about AI22:50 Save time to explore24:45 Where to learn more about Japna

#302 Growth | Dave is joined by Priscilla Barolo, former head of comms at Zoom (for nearly 10 years, including the pandemic) and current VP of Marketing at Neat, an Oslo-based video tech company. Neat's tech is used around the world from major enterprises like Atlassian to the White House. With a decade-long career at Zoom, including during its hypergrowth through the pandemic, Priscilla is a master in communications and B2B marketing leadership.Dave and Priscilla cover:The path from communications to marketing leadershipUnique challenges of marketing a physical product in the B2B tech spaceBuilding and scaling a global marketing team at a high-growth, remote-first company Join 50,000 people who get our Exit Five Newsletter here: https://www.exitfive.com/newsletterLearn more about Exit Five's private marketing community: https://www.exitfive.com/***Today's episode is brought to you by Paramark.It's November. 2026 planning is already here. And the stuff you're doing right now will decide how next year plays out. But here's the problem: most teams are still planning next year's marketing strategy based on the WRONG DATA because of broken attribution and a misleading gut feel.  And you can't make smart budget calls if you're just guessing what's working, what's not, and where to put your next dollar.That's where Paramark comes in. They help you replace the guesswork with actual insight backed by $2 billion in analyzed marketing data. They've figured out what actually drives incremental growth across every channel including LinkedIn, Meta, TikTok, Google, CTV, even OOH.And right now, they're offering a private 1:1 consultation with their CEO and CMO, Pranav and Sam, who have led marketing teams at companies like Dropbox, Adobe, Microsoft, and Shutterfly. In this 45-minute strategy session, they'll help you measure the real impact of every marketing dollar, pull insights from your current media mix, and design a 2026 roadmap that's rooted in data, not gut.This is a heck of an offer. And it's real. And will go fast. So if you want to future-proof your marketing strategy for 2026, don't miss out on this offer.Grab your spot at paramark.com/brand-consult.***Thanks to my friends at hatch.fm for producing this episode and handling all of the Exit Five podcast production.They give you unlimited podcast editing and strategy for your B2B podcast.Get unlimited podcast editing and on-demand strategy for one low monthly cost. Just upload your episode, and they take care of the rest.Visit hatch.fm to learn more

"Rovo knows everything, works everywhere, and helps everyone". With these words uttered by Mike Cannon-Brookes during TEAM '25 Europe, he introduced the further capabilities of Atlassian's Agentic AI solution.Joining us to help elaborate on this new chapter is return guest Jensen Fleming, Principal Product Manager for AI/Rovo. Tune in to see and hear the major and minor announcements that came from Barcelona!Thank you to Revyz for backing us up and making The Jira Life possible. https://www.revyz.io/The Jira Life=====================================Having trouble keeping up with when we are live? Sign up for our Atlassian Community Group!https://ace.atlassian.com/the-jira-life/Or Follow us on LinkedIn!  / the-jira-life  Become a member on YouTube to get access to perks:   / @thejiralife  Hosts:Alex "Dr. Jira" Ortiz ⁠  / alexortiz89  ⁠⁠   / @apetechtechtutorials  ⁠ Rodney "The Jira Guy" Nissen / rgnissen  ⁠⁠https://thejiraguy.com⁠Sarah Wright/ satwright  ⁠     Producer: "King Bob" Robert Wen  / robert-wen-csm-spc6-a552051  Executive Producer: Lina OrtizMusic provided by Monstercat:=====================================Intro: Nitro Fun - Cheat Codes   / monstercat  Outro: Fractal - Atrium   / monstercatinstinct  

Shannon Hobbs, Chief People Officer at BNY, joined us to unpack how the bank is scaling its early-career pipeline, flattening org design, and running a culture-first transformation.We discussed BNY's in-house AI hub “Eliza” (99% employee certification, 15k+ agents, 100 digital employees), plus practical advice for CHROs on building AI capability safely and at scale.---- How BNY is betting big on early talent (PDF): https://modernpeopleleader.kit.com/episode267Sponsor Links:

Luke O'Mahoney, Founder & Creator of Sapienˣ, joined The Modern People Leader.We talked about the three emerging models of product-led HR, Agile theater, and how an enterprise company phased its shift to product-led HR.---- Sponsor Links:

What happens when a green owl, a handful of improv rules, and zero fear collide? You get Duolingo, the internet's most unhinged, hilarious, and effective brand. Zaria Parvez is the creative force behind that chaos. As Duolingo's first-ever social media hire, she helped grow the brand from 50,000 to over 16 million followers, turning a dusty owl costume in the office into one of the most recognizable (and meme-worthy) characters on the planet. She opens up about how she built a culture of creativity rooted in improv, boldness, and trust. She shares how her team turned social media into the heartbeat of the brand and why “fear is the most expensive mistake” in marketing. You'll learn: > The wild origin story behind Death by Duo, the campaign that hit 1.7 billion impressions with no paid ads. > How Zaria uses improv comedy principles to fuel creativity, collaboration, and confidence. > Why giving social teams approval power and autonomy is the key to moving at the speed of culture. Whether you're a marketer, creator, or someone who just loves a good brand story, this episode will change the way you think about creativity online. Acquired by Atlassian in 2023, Loom is an AI-powered video communication tool for work that lets users record and share videos quickly and easily. Loom helps teams stay connected across time zones and boosts productivity. Visit Loom.com for more information. Follow Zaria: LinkedIn: https://www.linkedin.com/in/zaria-parvez-645983140/ Follow Daniel: LinkedIn: https://www.linkedin.com/in/daniel-murray-marketing/ Sign up for The Marketing Millennials newsletter: www.workweek.com/brand/the-marketing-millennials Daniel is a Workweek friend, working to produce amazing podcasts. To find out more, visit: www.workweek.com

In der heutigen Folge sprechen die Finanzjournalisten Philipp Vetter und Holger Zschäpitz über miese Trick-or-Treat-Zahlen von Hershey, den Handels-Waffenstillstand zwischen den USA und China gruselige Fakten rund ums Anlegen. Außerdem geht es um Lufthansa, Atlassian, Coinbase, Reddit, Netflix, Air France, Alphabet, Meta, Volkswagen, Puma, Scout24, IAG, Broadcom, Nvidia, AMD, WisdomTree Silver 3x Daily Short (WKN: A1VBAP), The Trade Desk, Fiserv, Adidas, WPP. Wir freuen uns an Feedback über aaa@welt.de. Noch mehr "Alles auf Aktien" findet Ihr bei WELTplus und Apple Podcasts – inklusive aller Artikel der Hosts und AAA-Newsletter.[ Hier bei WELT.](https://www.welt.de/podcasts/alles-auf-aktien/plus247399208/Boersen-Podcast-AAA-Bonus-Folgen-Jede-Woche-noch-mehr-Antworten-auf-Eure-Boersen-Fragen.html.) [Hier] (https://open.spotify.com/playlist/6zxjyJpTMunyYCY6F7vHK1?si=8f6cTnkEQnmSrlMU8Vo6uQ) findest Du die Samstagsfolgen Klassiker-Playlist auf Spotify! Disclaimer: Die im Podcast besprochenen Aktien und Fonds stellen keine spezifischen Kauf- oder Anlage-Empfehlungen dar. Die Moderatoren und der Verlag haften nicht für etwaige Verluste, die aufgrund der Umsetzung der Gedanken oder Ideen entstehen. Hörtipps: Für alle, die noch mehr wissen wollen: Holger Zschäpitz können Sie jede Woche im Finanz- und Wirtschaftspodcast "Deffner&Zschäpitz" hören. +++ Werbung +++ Du möchtest mehr über unsere Werbepartner erfahren? [**Hier findest du alle Infos & Rabatte!**](https://linktr.ee/alles_auf_aktien) Impressum: https://www.welt.de/services/article7893735/Impressum.html Datenschutz: https://www.welt.de/services/article157550705/Datenschutzerklaerung-WELT-DIGITAL.html

What happens when an Atlassian marketing veteran who decorates cakes and rides motorcycles decides the traditional marketing funnel is completely broken? You get Ashley Faus, Head of Lifecycle Marketing Portfolio at Atlassian, author of "Human-Centered Marketing," and today's guest on FutureCraft. Ashley has spent 8+ years at Atlassian revolutionizing how B2B marketers think about customer journeys, replacing linear funnels with her "content playground" framework where audiences can go up, down, and sideways through your content—just like kids on an actual playground. In this episode, we get into: Why ChatGPT 5 might be getting worse for marketing professionals (and what to use instead) Erin's live demo of Gemini's deep research for account-based marketing that analyzes hundreds of sources Ashley's content playground framework that treats audiences like humans, not funnel steps How trust becomes your only defensible moat when AI can fake everything else Why organizational silos are killing your customer experience (and how to fix them) The "18-month rule" for career evolution in an AI-accelerated world Whether you're a CMO fighting for budget, a product marketer drowning in requests, or a lifecycle specialist trying to prove ROI, Ashley breaks down how to keep humans at the center while leveraging AI as your creative co-pilot.  

Spotify, Oracle, and Comcast have each recently announced they're going with co-C.E.O.s. In this 2023 episode, we dig into the research and hear firsthand stories of triumph and disaster. Also: lessons from computer programmers, Simon and Garfunkel, and bears versus alligators.   SOURCES:Jim Balsillie, retired chairman and co-C.E.O. of Research In Motion.Mike Cannon-Brookes, co-founder and C.E.O. of Atlassian.Scott Farquhar, co-founder and former co-C.E.O. of Atlassian.Marc Feigen, C.E.O. advisor.Jeffrey Sonnenfeld, professor of management studies and senior associate dean at the Yale School of Management and founding president of the Chief Executive Leadership Institute.Laurie Williams, professor of computer science at North Carolina State University. RESOURCES:"Scott Farquhar to resign as joint CEO of Atlassian," by Jonathan Barrett (The Guardian, 2024)."Is It Time to Consider Co-C.E.O.s?" by Marc A. Feigen, Michael Jenkins, and Anton Warendh (Harvard Business Review, 2022)."The Costs and Benefits of Pair Programming," by Alistair Cockburn and Laurie Williams (2000)."Strengthening the Case for Pair Programming," by Laurie Williams, Robert R. Kessler, Ward Cunningham, and Ron Jeffries (IEEE Software, 2000). EXTRAS:"The Secret Life of a C.E.O.," series by Freakonomics Radio (2018). Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Darren Murph, a leading voice on distributed work and former leader at GitLab, Zillow, and Andela returned to the show.We dug into the remote first maturity scale, the four-pillar operating model (knowledge, project, self, performance), and how to build an “org brain.”---- Sponsor Links:

Marketers love to talk about great copy…but few actually know how to write it. Kate Mountz does. She's one of the sharpest content marketers in the game, and in this episode, she and Daniel break down the mindset and mechanics behind writing that converts, connects, and actually feels human. They get into how marketers can use research to find real insights (not just filler), how to build a brand voice that scales, and why your quirks as a writer are the key to authenticity in a world full of AI content. Kate shares her journey from raising her hand to run social media at a startup to ghostwriting for founders and building entire content systems. She also explains how to keep your creativity alive when you're publishing at scale and why doing the hard part of writing yourself will always be your marketing superpower. If you care about storytelling, brand voice, and creating content that actually hits, this episode will make you rethink how you write, research, and create. Acquired by Atlassian in 2023, Loom is an AI-powered video communication tool for work that lets users record and share videos quickly and easily. Loom helps teams stay connected across time zones and boosts productivity. Visit Loom.com for more information. Follow Kate: LinkedIn: https://www.linkedin.com/in/kjmountz/ Follow Daniel: LinkedIn: https://www.linkedin.com/in/daniel-murray-marketing/ Sign up for The Marketing Millennials newsletter: www.workweek.com/brand/the-marketing-millennials Daniel is a Workweek friend, working to produce amazing podcasts. To find out more, visit: www.workweek.com

Link to episode page This week's Cyber Security Headlines – Week in Review is hosted by Rich Stroffolino with guests David Cross, CISO, Atlassian, and davidcrosstravels.com, and Montez Fitzpatrick, CISO, Navvis Thanks to our show sponsor, ThreatLocker Imagine having the power to decide exactly what runs in your IT environment — and blocking everything else by default. That's what ThreatLocker delivers. As a zero-trust endpoint protection platform, ThreatLocker fills the gaps traditional solutions leave behind, giving your business stronger security and control. Don't just react to threats — stop them with ThreatLocker. All links and the video of this episode can be found on CISO Series.com

Brandon Weber, Co-founder & CEO of Nava Benefits, joined us on The Modern People Leader.We talked about why benefits have become the second-largest company expense — and how HR can “moneyball” their healthcare spend, cut down on benefits-related admin work, and deliver better employee outcomes through the emerging “alt marketplace.”---- Nava Links:

Nicole Forsgren created the most widely used frameworks for measuring developer productivity—DORA and SPACE. She wrote the foundational book Accelerate and is about to release her newest book, Frictionless, a practical guide for helping teams move faster in the AI era. She's currently Senior Director of Developer Intelligence at Google.We discuss:1. Why most productivity metrics are a lie2. Signs that your engineering team could be moving much faster3. Why AI accelerates coding but developers aren't speeding up as much as you think4. AI's impact on engineers getting into “flow”5. Her framework for building and scaling a developer experience team6. The three components of developer experience: flow state, cognitive load, and feedback loops—Brought to you by:Mercury—The art of simplified finances: https://mercury.com/WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs: https://workos.com/lennyCoda—The all-in-one collaborative workspace: https://coda.io/lenny—Where to find Nicole Forsgren:• Twitter: https://twitter.com/nicolefv• LinkedIn: https://www.linkedin.com/in/nicolefv/• Website: https://nicolefv.com/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Nicole Forsgren(05:09) The concept of developer experience (DevEx)(08:33) Flow state and cognitive load in the age of AI(12:02) Challenges in measuring productivity with AI(21:19) The importance of developer experience for business value(22:20) Common issues and solutions in developer experience(26:49) Signs your eng team is moving too slow(29:52) How AI is improving productivity(33:32) Real examples of productivity improvements(36:35) Introducing her new book, Frictionless(43:40) How to get started building a DevEx team(45:15) The impact of forming developer experience teams(46:15)  How to measure the impact of DevEx teams(48:53) Measuring the impact of AI tools on productivity(55:16) Survey design for developer experience(57:59) Popular AI tools for developers(59:08) Bringing a product mindset to DevEx improvements(01:00:40) AI corner(01:02:33) Lightning round and final thoughts—Referenced:• How to measure and improve developer productivity | Nicole Forsgren (Microsoft Research, GitHub, Google): https://www.lennysnewsletter.com/p/how-to-measure-and-improve-developer• DORA: https://dora.dev/• The SPACE framework: A comprehensive guide to developer productivity: https://getdx.com/blog/space-metrics/• Measuring developer productivity with the DX Core 4: https://getdx.com/research/measuring-developer-productivity-with-the-dx-core-4/• Gloria Mark's website: https://gloriamark.com/• Taking Flight with Copilot: https://dl.acm.org/doi/10.1145/3589996• DevEx in Action: https://spawn-queue.acm.org/doi/10.1145/3639443• CodeX: https://openai.com/codex/• Devin: https://devin.ai/• Abi Noda on LinkedIn: https://www.linkedin.com/in/abinoda/• DX is joining Atlassian: https://getdx.com/blog/dx-is-joining-atlassian/• GitHub Copilot: https://github.com/features/copilot• Cursor: https://cursor.com/• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• Gemini Code Assist: https://codeassist.google/• Claude Code: https://www.claude.com/product/claude-code• The AI-native startup: 5 products, 7-figure revenue, 100% AI-written code | Dan Shipper (co-founder/CEO of Every): https://www.lennysnewsletter.com/p/inside-every-dan-shipper• Love Is Blind on Netflix: https://www.netflix.com/title/80996601• Shrinking on AppleTV+: https://tv.apple.com/us/show/shrinking/umc.cmc.apzybj6eqf6pzccd97kev7bs• Ninja Creami: https://www.amazon.com/Ninja-NC301-CREAMi-Containers-Bundle/dp/B0BLGR5JPV/• Jura coffee maker: https://www.amazon.com/Jura-Nordic-Automatic-Coffee-Machine/dp/B0CF65BFZ1/—Recommended books:• Frictionless: https://developerexperiencebook.com/• DevEx Workbook: https://developerexperiencebook.com/#workbook• Outlive: The Science and Art of Longevity: https://www.amazon.com/Outlive-Longevity-Peter-Attia-MD/dp/0593236599• Back Mechanic: https://www.amazon.com/Back-Mechanic-Stuart-McGill-2015-09-30/dp/B01FKSGJYC• How Big Things Get Done: The Surprising Factors That Determine the Fate of Every Project, from Home Renovations to Space Exploration and Everything in Between: https://www.amazon.com/How-Big-Things-Get-Done/dp/0593239512/• The Undoing Project: A Friendship That Changed Our Minds: https://www.amazon.com/dp/B01KBM82M4/—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

Andrew Golden, Chief People Officer at RetailNext, joined us on The Modern People Leader.We talked about how he's driving transformation, why HR and IT must partner more closely, the power of building lightweight AI solutions in-house, and why he's optimistic about the future of people teams.---- Sponsor Links:

Tired of endless meetings, confusing handoffs, and feeling out of the loop? Feel like you need to get your team on board in a better way? Internal marketing might just be the most overlooked superpower in business. Daniel talks with Jesse Feldman, Product Marketing Lead at Loom. From using AI note-takers and video walkthroughs to running faster go-to-market campaigns, Jesse reveals how great Marketing starts inside your org, not just outside it. Jesse breaks down exactly how Loom uses its own product to build alignment across global teams, accelerate launches, and save hours of meeting time…all while keeping creativity and connection alive. She shares why internal communication might be the most underrated part of Marketing success. Daniel and Jesse also dive into the human side of Marketing: building empathy into leadership, making your team feel seen, and creating internal hype that drives better ideas from across the org.  If you've ever wondered how to connect with your team better so your brand can focus more on marketing and less on busy work, this episode is for you. Acquired by Atlassian in 2023, Loom is an AI-powered video communication tool for work that lets users record and share videos quickly and easily. Loom helps teams stay connected across time zones and boosts productivity. Visit Loom.com for more information. Follow Jesse: LinkedIn: https://www.linkedin.com/in/jessfeld/ Follow Daniel: LinkedIn: https://www.linkedin.com/in/daniel-murray-marketing/ Sign up for The Marketing Millennials newsletter: www.workweek.com/brand/the-marketing-millennials Daniel is a Workweek friend, working to produce amazing podcasts. To find out more, visit: www.workweek.com

Most companies think connection is built in the office. Atlassian discovered the opposite. In this episode, I’m joined by Avani Prabhakar, Chief People Officer at Atlassian. Avani takes us inside Atlassian’s Team Anywhere model, which has redefined how 13,000 people across the globe work together. We unpack what really drives connection, how to structure your workday to avoid Zoom fatigue, and why Atlassian ditched PowerPoint altogether. If you’ve ever wondered what the future of work actually looks like in practice, this is a rare behind-the-scenes look. Avani and I discuss: The difference between “remote first” and “distributed first” work Why connection doesn’t come from sporadic office attendance Atlassian’s framework for intentional togetherness (ITG) How to design your workday to balance meetings, deep work, and collaboration Why Atlassian banned PowerPoint and moved to a written-first culture How asynchronous communication transformed decision-making The role of AI agents in HR and how non-technical teams built their own tools The four stages of becoming a strategic AI user Avani’s predictions for the future of work: asynchronous by default, AI collaboration, and focusing on how we work rather than where Key Quotes “Connection wasn’t built by sporadic office attendance. Real connection happens when you intentionally bring people together with a purpose.” “The future of work won’t be about where we work. It will be about how we work.” Connect with Avani on LinkedIn. My latest book The Health Habit is out now. You can order a copy here: https://www.amantha.com/the-health-habit/ Connect with me on the socials: Linkedin (https://www.linkedin.com/in/amanthaimber) Instagram (https://www.instagram.com/amanthai) If you are looking for more tips to improve the way you work and live, I write a weekly newsletter where I share practical and simple to apply tips to improve your life. You can sign up for that at https://amantha-imber.ck.page/subscribe Visit https://www.amantha.com/podcast for full show notes from all episodes. Get in touch at amantha@inventium.com.au Credits: Host: Amantha Imber Sound Engineer: The Podcast Butler See omnystudio.com/listener for privacy information.

Forrester's latest report indicates that the AI hype wave is reaching its peak, with many enterprises expected to delay a significant portion of their AI spending until 2027 due to challenges in proving return on investment (ROI). As a response to increasing regulatory complexities, 60% of Fortune 100 companies are anticipated to appoint heads of AI governance by next year. This shift highlights a growing focus on compliance and risk management rather than pure innovation. Meanwhile, G2's findings present a contrasting narrative, revealing that nearly 60% of companies have successfully deployed AI agents, with a low failure rate and high satisfaction among users.Despite the positive deployment statistics from G2, a study by Atlassian uncovers a paradox: while individual usage of AI tools has surged, 96% of businesses report no significant improvements in efficiency or innovation. The survey indicates that only 3% of executives believe AI has driven transformational change within their organizations. This disconnect suggests that while AI tools are being adopted widely, their impact on actual business outcomes remains limited, leading to skepticism among decision-makers.Anthropic's recent research raises concerns about the security of large language models, revealing that as few as 250 malicious documents could effectively poison these models, compromising their functionality. This alarming finding underscores the vulnerabilities present in AI systems, particularly those relying on public or partner data. The implications for businesses are significant, as they must now consider the security of their AI systems alongside their operational capabilities.In the hardware arena, Apple and Intel are igniting a new chip race, with Apple launching its M5 chip, which boasts enhanced AI performance and graphics capabilities. Intel's Panther Lake chip is set to compete with improved efficiency and performance metrics. As AI technology becomes increasingly integrated into devices, managed service providers (MSPs) must adapt to the complexities of endpoint management and AI readiness. The evolving landscape emphasizes the need for governance, security, and effective measurement of AI outcomes, positioning MSPs as crucial enablers in this transition.Four things to know today 00:00 Forrester, G2, Atlassian, and Anthropic Paint a Complex AI Picture — Success, Stagnation, and Security Risk06:09 Apple's M5 and Intel's Panther Lake Show the Future: Every Device Becomes an AI Engine09:17 GoTo, Gradient, and LevelBlue Show the Next MSP Evolution — Refinement, Not Reinvention12:21 Microsoft's Final Windows 10 Update and IE Mode Lockdown Signal the End of Legacy Tolerance This is the Business of Tech.    Supported by:  https://try.auvik.com/dave-switchhttps://scalepad.com/dave/

What if the secret to better teamwork wasn't another system or software, but simply keeping it super simple?

Gena Smith, CHRO at LVMH North America, joined us on The Modern People Leader. We talked about how she sparked an AI transformation across 75 LVMH brands, why HR should lead AI change management, and how to reframe AI adoption as a cultural and creative advantage.---- Sponsor Links:

Mike Cannon-Brookes is the Co-Founder and Co-CEO of Atlassian, the $50BN software giant behind products like Jira, Confluence, and Trello. Since founding the company in 2002, he has scaled it to over 300,000 customers globally, generating more than $5BN in annual revenue. Atlassian now employs over 10,000 people across 13 countries and is one of the most successful bootstrapped-to-IPO stories in tech history. Mike is also a leading climate investor and co-owner of several major sports teams. AGENDA:  00:00 Why Unreasonable Men Win in Startups 07:22 How to Make Co-CEOs Work  13:22 Are We in an AI Bubble? Is Everything Overvalued? 26:46 The Future of Software Development: More or Less Devs 32:53 Do Margins Matter in a World of AI 34:02 The Future of Vibe Coding… 36:35 Does Defensibility Exist in a World of AI 42:09 Is Per Seat Pricing Dead in a World of AI 49:01 The Founder Journey and Leadership 54:28 Quick Fire Round: Parenting Advice, Relationship to Money  

What happens when the future of teamwork collides with the power of AI? That's the question at the heart of this episode as Tiffany from Atlassian joins me from Barcelona during Team 25, where Atlassian is showcasing how AI-powered collaboration is redefining how work gets done. We talk about how Atlassian's mission to unleash the potential of every team is coming to life through its bold decisions, from sunsetting data center products to expanding its multi-cloud partnerships with Google. Tiffany offers a front-row view of how Atlassian's evolving cloud platform is designed to help customers work smarter while enabling secure, scalable innovation across some of the world's most complex enterprises. The conversation also uncovers the thinking behind the teamwork graph, Atlassian's powerful data intelligence layer that connects billions of work objects to create truly personalized AI experiences. Tiffany shares how companies like Royal Caribbean and Mercedes-Benz are already seeing measurable performance gains and how AI is becoming a real teammate that unifies knowledge, connects tools, and drives better outcomes. We discuss what it means to build a “system of work,” why flexibility and context matter, and how Atlassian's open approach allows teams to build custom systems tailored to their own culture and workflows. Beyond the technology, this is a story about continuous learning, adaptability, and human-centered progress. Tiffany's reflections on learning from the toughest customers, embracing change, and reimagining the browser as an active workspace reveal how Atlassian is blending AI with empathy and purpose. As AI becomes inseparable from teamwork, what steps will you take to unleash what your team can do next? I'd love to hear your thoughts.

Nesrine Changuel helped build Spotify, Google Chrome, and Google Meet. Her work has helped her discover the importance of emotional connection in building successful products. At Google, she served as a dedicated “delight PM,” a role specifically focused on making products more delightful. She recently published Product Delight, a book that provides a practical framework for creating products that serve both functional and emotional needs. Based in Paris, she now coaches founders and CPOs on implementing delight strategies in their organizations.What you'll learn:1. Why delight is a business strategy, not just “sprinkling confetti” on top of functionality2. How to identify emotional motivators that drive product retention3. The 50-40-10 rule for balancing delight in your roadmap4. The 4-step delight model5. The origin story of Spotify's Discover Weekly6. Why B2B products need delight just as much as B2C products7. How to get buy-in from skeptical leaders who think delight is a luxury—Brought to you by:DX—The developer intelligence platform designed by leading researchers: https://getdx.com/lennyJira Product Discovery—Confidence to build the right thing: https://atlassian.com/lennyLucidLink—Real-time cloud storage for teams: https://www.lucidlink.com/lenny—Transcript: https://www.lennysnewsletter.com/p/a-4-step-framework-for-building-delightful-products—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/174199489/my-biggest-takeaways-from-this-conversation—Where to find Nesrine Changuel:• LinkedIn: https://www.linkedin.com/in/nesrinechanguel/• Newsletter: https://nesrinechanguel.substack.com/• Website: https://nesrine-changuel.com/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Nesrine and product delight(04:56) Why delight matters(09:17) What makes a feature “delightful”(12:29) The three pillars of delight(13:03) Pillar 1: Removing friction (Uber refund example)(15:07) Pillar 2: Anticipating needs (Revolut eSIM example)(17:21) Pillar 3: Exceeding expectations (Edge coupon example)(18:35) The “confetti effect” and when it actually works(22:02) B2B vs. B2C: Why all products need emotional connection(29:52) The Delight Model: A 4-step framework(30:57) Step 1: Identifying user motivators (functional and emotional)(33:55) Step 2: Converting motivators into product opportunities(34:46) Step 3: Identifying solutions with the delight grid(36:46) Step 4: Validating ideas with the delight checklist(40:22) The Delight Model summarized(42:18) The importance of familiarity (Spotify Discover Weekly story)(45:21) Real examples: Chrome's tab management solution(51:32) Google Meet's solution for “Zoom fatigue”(55:02) Getting buy-in from skeptical leaders(59:39) Prioritizing delight: The 50-40-10 rule(1:02:41) Creating a culture of delight in your organization(1:06:45) The habituation effect(1:08:15) When delight goes wrong: Apple reactions example(1:10:21) How delight motivates product teams(1:12:24) Lightning round and final thoughts—Referenced:• Spotify: https://open.spotify.com/• Linear: https://linear.app/• How Linear builds product: https://www.lennysnewsletter.com/p/how-linear-builds-product• Jira: https://www.atlassian.com/software/jira• Asana: https://asana.com/• Monday: https://monday.com/• The Product Delight Model: https://nesrinechanguel.substack.com/p/the-product-delight-model• Revolut: https://www.revolut.com/• How Revolut trains world-class product managers: The “local CEO” model, raw intellect over experience, and a cultural obsession with building wow products | Dmitry Zlokazov (Head of Product): https://www.lennysnewsletter.com/p/how-revolut-trains-world-class-product-managers• Microsoft Cashback: https://www.microsoft.com/en-us/edge/features/shopping-cashback• Superhuman's secret to success: Ignoring most customer feedback, manually onboarding every new user, obsessing over every detail, and positioning around a single attribute: speed | Rahul Vohra (CEO): https://www.lennysnewsletter.com/p/superhumans-secret-to-success-rahul-vohra• Brian Chesky's secret mentor who died 9 times, started the Burning Man board, and built the world's first midlife wisdom school | Chip Conley (founder of MEA): https://www.lennysnewsletter.com/p/chip-conley• Workday: https://www.workday.com/• SAP: https://www.sap.com/• ServiceNow: https://www.servicenow.com/• Salesforce: https://www.salesforce.com/• GitHub: https://github.com/• Atlassian: https://www.atlassian.com/• Snowflake: https://www.snowflake.com/• Data Superheroes: https://www.snowflake.com/en/data-superheroes/• Google Meet: https://meet.google.com/• Andy Nesling on LinkedIn: https://www.linkedin.com/in/andynesling/• Matic: https://maticrobots.com/• Diego Sanchez's (Senior Product Manager at Buffer) post on LinkedIn: https://www.linkedin.com/feed/update/urn:li:activity:7365014292091346945/• Miro: https://miro.com/• Arc browser: https://arc.net/• Competing with giants: An inside look at how The Browser Company builds product | Josh Miller (CEO): https://www.lennysnewsletter.com/p/competing-with-giants-an-inside-look• Migros Supermarket: https://www.migros.ch/• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• Building Lovable: $10M ARR in 60 days with 15 people | Anton Osika (CEO and co-founder): https://www.lennysnewsletter.com/p/building-lovable-anton-osika• Linear's secret to building beloved B2B products | Nan Yu (Head of Product): https://www.lennysnewsletter.com/p/linears-secret-to-building-beloved-b2b-products-nan-yu• Suno: https://suno.com• Snapchat: https://www.snapchat.com/• Use Reactions, Presenter Overlay, and other effects when videoconferencing on Mac: https://support.apple.com/en-us/105117• Dr. Lipp: https://drlipp.com/• How to be the best coach to product people | Petra Wille (Strong Product People): https://www.lennysnewsletter.com/p/how-to-be-the-best-coach-to-product• The Great American Baking Show: https://www.imdb.com/title/tt21822674/• Le Meilleur Pâtissier: https://en.wikipedia.org/wiki/Le_Meilleur_P%C3%A2tissier• The Upside on Amazon Prime: https://www.amazon.com/gp/video/detail/amzn1.dv.gti.3cb8500f-31af-9f4f-5dec-701e086d58e8• The Intouchables: https://www.imdb.com/title/tt1675434/• Yoyo stroller: https://www.stokke.com/USA/en-us/category/strollers/yoyo-strollers• UppaBaby strollers: https://uppababy.com/strollers/—Recommended books:• Product Delight: How to Make Your Product Stand Out with Emotional Connection: https://www.amazon.com/Product-Delight-Stand-Emotional-Connection-ebook/dp/B0FGZ93D9Y/• Factfulness: Ten Reasons We're Wrong About the World—and Why Things Are Better Than You Think: https://www.amazon.com/Factfulness-Reasons-World-Things-Better/dp/1250107814• STRONG Product Communities: The Essential Guide to Product Communities of Practice: https://www.amazon.com/STRONG-Product-Communities-Essential-Practice/dp/3982235189/r—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com