Drawer 13 · 460 notes · 69 people · 2005–2026

Org design & culture

Team topologies, operating models, culture, and scaling organizations

Q:
Answers from Org design & culture notes, cited
Lenny’s Podcast94 min

LinkedIn’s product evolution and the art of building complex systems

Hari Srinivasan · Jul 16, 2023
Key learnings
  • Anchor decisions in a single clear North Star, such as connecting people to economic opportunity, so cross-marketplace tradeoffs…
  • In complex ecosystems, map second- and third-order effects of every change, since a feature can shift how members perceive and…
  • Name one decision-maker per decision (RAPID-style recommender, agreer, decider, input roles) and move to a call after a few email…
Lenny’s Podcast133 min

A better way to plan, build, and ship products

Ryan Singer · Mar 30, 2025
Key learnings
  • Start from a fixed time budget (appetite) and shape a solution that fits it, rather than estimating a large idea and hoping it…
  • Hold shaping sessions where product, design, and a senior engineer work together to sketch the idea and surface technical…
  • Aim for a shaped idea describable in under about ten moving pieces; if it takes more, it likely isn't shaped well enough.
Lenny’s Podcast93 min

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 · Aug 3, 2025
Key learnings
  • When working for a founder, open meetings by aligning on the goal, what defines success, and what the meeting must accomplish…
  • Build credibility with demanding leaders by getting close to customers, such as visiting hosts in their homes, so your input…
  • Keep decks short and principle-focused so they still make sense when a combustible founder derails the meeting.
Lenny’s Podcast88 min

Alex Hardimen

Alex Hardimen · Nov 13, 2022
Key learnings
  • Define impact in service of mission: at a news company, subscriber growth matters, but so does a deeply reported story driving a…
  • Build an essential subscription bundle by pairing a trusted news core with adjacent products like games, cooking, audio and…
  • Organize product teams along two axes: functions (craft, career growth, standards) and cross-functional missions (consumer…
Lenny’s Podcast88 min

Nickey Skarstad (Airbnb, Etsy, Shopify, Duolingo) on translating vision into goals, operationalizing product quality, second-order decisions, brainstorming, influence, and much more

Nickey Skarstad · Jul 18, 2022
Key learnings
  • Pick a quality metric, such as review rate or first sale within a set window, as a balancing top-line goal alongside growth so…
  • Dogfood your own product regularly; Skarstad notes that using the product yourself reveals quality problems immediately and…
  • Involve your team in strategy-setting rather than writing it alone, but recognize that one clear leader should own the final…
Lenny’s Podcast118 min

Behind the product: Duolingo streaks

Jackson Shuttleworth · Dec 15, 2024
Key learnings
  • Streaks are an engagement amplifier, not a substitute: first make sure the core product is something users want to return to…
  • Choose a unit of use that matches real engagement; simplifying the streak to one lesson kept users, but dumbing it down to one…
  • Focus effort on the first seven days, since loss aversion appears to kick in once a streak reaches about seven days and retention…
Lenny’s Podcast95 min

How to measure AI developer productivity in 2025

Nicole Forsgren · Oct 19, 2025
Key learnings
  • Before measuring anything, get crisp on the problem or goal, since teams often interpret vague mandates like 'improve developer…
  • Shipping smaller changes more often tends to improve both speed and stability together, because small batches have smaller blast…
  • DORA's four metrics (deployment frequency, lead time, time to restore, change fail rate) give a benchmark-style view of where you…
Lenny’s Podcast67 min

The future of AI in software development

Inbal S · Dec 1, 2023
Key learnings
  • Engineers using AI tools need to shift from writing code to systems and architecture thinking, which lets junior developers spend…
  • Don't adopt AI for its own sake; start from the customer problem and ask how AI can best solve it, rather than asking what to do…
  • AI tools must fade into the background: any extra setup, asking, or waiting adds friction and developers will abandon the tool.
Lenny’s Podcast131 min

A child psychologist’s guide to working with difficult adults

Dr. Becky Kennedy · Feb 1, 2026
Key learnings
  • Repair after a mistake, by owning your part and naming what you'll do differently, rebuilds trust; perfection is not the goal…
  • Connect before correcting: join the other person's world first without an agenda, since connection builds the bridge that makes…
  • Separate behavior from identity by assuming someone is good inside, which keeps conversations productive and makes defensiveness…
Lenny’s Podcast78 min

How have I been complicit in creating the conditions I say I don’t want?

Jerry Colonna · May 8, 2025
Key learnings
  • Ask how you have been complicit, not responsible, in creating the conditions you say you don't want; this evokes personal agency…
  • Use radical self-inquiry to examine what you claim to want versus what you actually feel, such as saying you dislike busyness…
  • Notice whether your drive comes from proving your worth; separate the enjoyment of the work from the need to feel like somebody.
Lenny’s Podcast54 min

TiboSottiaux

TiboSottiaux
Key learnings
  • Expect most actions on the internet to be taken by agents, so build products that can serve agent traffic at scale and handle the…
  • Design for the capabilities you expect in roughly a year (about 10x better than today), not just what current models can do, to…
  • Favor systems that learn from your goals and feedback over hand-tuned agent loops and workflows, which Tibo thinks will be…
Lenny’s Podcast96 min

How to build deeper, more robust relationships

Carole Robin · Apr 25, 2024
Key learnings
  • Relationships sit on a continuum from contact-without-connection to functional, robust, and exceptional; you can build the skills…
  • Practice progressive disclosure using the 15% rule: step slightly outside your comfort zone, observe the response, then gradually…
  • Share appropriate vulnerability, such as admitting uncertainty or mistakes, rather than either oversharing or hiding everything…
Lenny’s Podcast66 min

The role of AI in product development

Ryan J. Salva · Sep 4, 2022
Key learnings
  • Ring-fence a dedicated R&D team for long-horizon, uncertain bets, reserving roughly 5-10% of capacity for audacious experiments…
  • Hand off research prototypes only after customer signal exists, and move researchers back to R&D based on a trained replacement…
  • Let the team that owns the product day to day control its own roadmap; don't outsource innovation entirely to an R&D group.
Lenny’s Podcast91 min

Inside OpenAI

Logan Kilpatrick · Feb 8, 2024
Key learnings
  • Products built on general-purpose AI should either be radically better than ChatGPT in specific ways or focus on a narrow…
  • Give models rich context about who you are, your goals, and your audience; Logan argues context is the main lever for getting…
  • Treat prompt engineering like briefing a capable human with no background: explain the situation, the audience, and what good…
Lenny’s Podcast121 min

The creator of WordPress opens up about becoming an internet villain, why he’s taking a stand, and the future of open source

Matt Mullenweg · Mar 2, 2025
Key learnings
  • Build a movement, not just a product: give community members a philosophy and shared identity, plus many ways to contribute…
  • A platform only becomes durable when its ecosystem of plugins and themes is a moat competitors can't easily replicate.
  • Open source licensing like the GPL guarantees users and builders keep their freedoms even if the steward changes course…
Lenny’s Podcast85 min

Inside the expert network training every frontier AI model

Garrett Lord · Aug 24, 2025
Key learnings
  • Post-training, not pre-training, now drives most model gains, so high-quality expert data targeting specific capability gaps is…
  • The labeling market has shifted from cheap generalist labor to domain experts, so the right supply is credentialed specialists…
  • Access to a trusted audience is the real moat in human data; owning an audience removes customer acquisition costs compared with…