Drawer 12 · 721 notes · 95 people · 2005–2026

Execution, roadmaps & process

Roadmaps, prioritization, planning, shipping, and working with engineering

Q:
Answers from Execution, roadmaps & process notes, cited
Lenny’s Podcast87 min

Understanding the role of product ops

Christine Itwaru · Feb 16, 2023
Key learnings
  • Product ops can be understood two ways: as a set of systems that help a product team thrive, and as a dedicated person or group…
  • Common product ops responsibilities include voice-of-customer synthesis, tooling and data integrations, content and education…
  • Frame the role to PMs as protecting their time for customer conversations, which Christine says PMs should never give up, rather…
Lenny’s Podcast77 min

Driving alignment and urgency within teams, work-life balance, and the changing PM landscape

Nikita Miller · Apr 6, 2023
Key learnings
  • Have product, design, engineering and data leaders each write expectations for their own role and for each other, then review…
  • Revisit roles and responsibilities every few months, usually triggered by tension or missed work, with a quick retro when…
  • Watch execution velocity and decision-making speed closely; outcomes matter, but shipping output quickly is the indicator that…
Lenny’s Podcast98 min

This will make you a better decision-maker

Annie Duke · May 2, 2024
Key learnings
  • Make implicit judgments explicit (e.g., a hiring rubric) before using intuition; Duke cites Kahneman's work lifting hiring hit…
  • Gather opinions independently and asynchronously before meetings, then use the meeting only for discussion, focusing on where…
  • Reserve meetings for discussion; discovery of views should happen beforehand and decisions should be made by an accountable…
Lenny’s Podcast102 min

Lessons from scaling Stripe

Claire Hughes Johnson · Mar 5, 2023
Key learnings
  • Start with self-awareness: seek feedback on your motivators, strengths, and blind spots, and share them with your team, since…
  • Introduce job levels and career ladders earlier than feels necessary; waiting until a company is large makes the change far more…
  • Treat company-building infrastructure as essential, not optional: product-market fit alone won't scale, and weak structures and…
Lenny’s Podcast69 min

An inside look at Mixpanel’s product journey

Vijay · Jan 26, 2023
Key learnings
  • Protect your core product: rather than moving people from the core to new ventures, invest the core's profits into new bets…
  • Be cautious adding adjacent products in new categories; bolt-on products that are only mid-tier in crowded categories rarely move…
  • When a product is losing customers to competitors, a focused 'speed' phase working directly from ranked churn reasons can close…
Lenny’s Podcast93 min

Anthropic’s CPO on what comes next

Mike Krieger · Jun 5, 2025
Key learnings
  • Use AI as an independent strategy critic: ask it to be brutal or to challenge your thinking, since default prompts tend to…
  • As AI writes most code, bottlenecks shift upstream to deciding what to build and aligning people, and downstream to merge queues…
  • Give teams a minimum viable strategy so people feel empowered to build and explore at the edge of model capabilities without…
Lenny’s Podcast106 min

Inside monday.com’s transformation: radical transparency, impact over output, and their path to $1B ARR

Daniel Lereya · Apr 27, 2025
Key learnings
  • Treat a competitor's rapid shipping as a gift that proves a goal is possible, then set an ambitious target that forces you to…
  • Measure product managers by the impact they validate for customers, not by features shipped; define the problem, the opportunity…
  • Ask each quarter what your product will do differently for customers a quarter from now, and check whether you can name your…
Lenny’s Podcast85 min

5 essential questions to craft a winning strategy

Roger Martin · Jul 25, 2024
Key learnings
  • Strategy is an integrated set of choices that compels desired customer action, since customers are the one thing a company cannot…
  • Work through the five cascade questions together: winning aspiration, where to play, how to win, required capabilities, and…
  • Winning requires being either differentiated or lowest cost; without one of those, competitors can keep pushing you back step by…
Lenny’s Podcast128 min

The AI-native startup: 5 products, 7-figure revenue, 100% AI-written code

Dan Shipper · Jul 17, 2025
Key learnings
  • Non-programmers can use Claude Code-style command-line agents with local files to process large text sets, like meeting notes or…
  • Hire or assign someone to an AI operations role who continuously turns repetitive team tasks into prompts and workflows, and make…
  • Apply 'compounding engineering': spend a bit of effort turning each recurring task (like writing PRDs) into a reusable prompt or…
Substack podcastJan 3, 2026

Time Management: a deep dive

Jan 3, 2026
Key learnings
  • Treat time management as an ongoing experiment rather than a fixed system, testing methods and keeping what actually works for…
  • Advanced time management ideas go beyond to-do lists to focus on how you allocate attention across competing priorities.
  • Protect blocks of deep, uninterrupted work time, since product work is often fragmented by meetings and reactive requests.
Lenny’s Podcast96 min

The ultimate guide to A/B testing

Ronny Kohavi · Jul 27, 2023
Key learnings
  • Test every code change, since even small bug fixes or tiny UI tweaks can have surprising, large impact on key metrics.
  • Expect most ideas to fail: roughly two-thirds to over 90% of experiments in his experience did not move the target metric, so…
  • Allocate a portion of experiments to high-risk, high-reward bets, accepting that about 80% will fail, while keeping most work…
Lenny’s Podcast94 min

Building minimum lovable products, stories from WeWork and Airbnb, and thriving as a PM

Jiaona Zhang · Jul 2, 2023
Key learnings
  • New PMs often jump to solutions; start by understanding user problems and whether a real opportunity exists before deciding what…
  • A PM has little formal authority and must lead through influence, so editing and synthesizing opportunities matters more than…
  • Check unit economics early; magical thinking that a business will work at scale is a common trap, as the Airbnb Plus experience…
Lenny’s Podcast110 min

How to win in the AI era: Ship a feature every week, embrace technical debt, ruthlessly cut scope, and create magic your competitors can't copy

Gaurav Misra · Mar 27, 2025
Key learnings
  • Aim for every engineer to ship a marketable product each week, sliced down to an MVP so the team can gather real user feedback…
  • When time is tight, cut scope rather than quality: repeatedly remove elements from a feature until removing anything more would…
  • Treat technical debt as financial leverage for startups, but track it like interest: once debt consumes most engineering time…
Lenny’s Podcast128 min

Inside ChatGPT: The fastest-growing product in history

Nick Turley · Aug 9, 2025
Key learnings
  • Ship early to learn what people actually want; with AI, the valuable behaviors are emergent, so you won't know what to polish…
  • Treat the model itself as a product: iterate on it using real user use cases, personality/vibe checks, and new capabilities like…
  • Set the team's pace deliberately by asking whether work is 'maximally accelerated', separating fast product iteration from…
Lenny’s Podcast99 min

The engineering mindset

Will Larson · Jan 7, 2024
Key learnings
  • Treat engineers as capable adults by giving them hard problems and accountability, which lets them grow into senior leadership…
  • Build simple stock-and-flow models of processes like hiring pipelines, then compare them against historical data to find where…
  • Write your engineering strategy down, even imperfectly; an unwritten strategy cannot be debugged or improved, and every function…
Lenny’s Podcast100 min

The non-technical PM’s guide to building with Cursor

Zevi Arnovitz · Jan 18, 2026
Key learnings
  • Start slowly with a ChatGPT project acting as a skeptical 'CTO' before moving to coding tools, gradually easing into code to…
  • Capture ideas quickly as Linear issues using reusable slash commands, so you can pick them up later with context already gathered.
  • Separate the workflow into explore, plan, execute, review, and document phases, and have the AI ask clarifying questions before…
Lenny’s Podcast84 min

Building Substack

Sachin Monga · Oct 30, 2022
Key learnings
  • Early on, act more as a facilitator than a decision maker: keep the CEO and teams aligned on problems and vision through a…
  • Organize product teams around timeless customer problems (writers, readers, growth) rather than product surfaces, so structure…
  • Expect any process or planning system to become obsolete as the company grows; aim to keep getting better each week, month, and…
Lenny’s Podcast148 min

Anthropic’s $1B to $19B growth run: how Claude became the fastest-growing AI product in history

Amol Avasare · Apr 5, 2026
Key learnings
  • Expect most growth time to go to 'success disasters' once growth is rapid; firefighting breaking systems matters as much as new…
  • In AI-first products, skew the growth portfolio toward larger swings, since future product value could be orders of magnitude…
  • Treat activation as a top lever in AI products: identify user traits that predict which feature fits them, then guide them there.
Lenny’s Podcast104 min

What sets great teams apart

Lane Shackleton · Oct 1, 2023
Key learnings
  • Treat the core job of product work as turning ambiguity into clarity, and build repeatable systems rather than chasing one-off…
  • Build default-on customer contact systems, such as a standing weekly slot with customers, instead of quarterly OKRs to talk to…
  • Ask career questions about how many 'oh shit' moments someone has had recently, a sharper signal of growth than asking whether…
Lenny’s Podcast116 min

The 10 traits of great PMs, how AI will impact your product, and Slack’s product development process

Noah Weiss · Jul 23, 2023
Key learnings
  • Distill company-level product taste into a shared set of principles so teams can self-evaluate and founders are not the sole…
  • Involve founders early for strategy, goals and anti-goals, then again at the end to taste the product, and keep iterating in…
  • Run complaint storms by critiquing adjacent products' customer journeys first, which builds calibration and fresh empathy before…
Lenny’s Podcast100 min

Good Strategy, Bad Strategy

Richard Rumelt · Jan 21, 2024
Key learnings
  • Treat strategy as a response to one or two real challenges, not a list of ambitions, priorities, or aspirations; Rumelt suggests…
  • A solid strategy has three parts: a diagnosis of the situation, a guiding policy for dealing with it, and coherent actions that…
  • Test your strategy for bad signs: goals dressed up as strategy, fluffy jargon, missing diagnosis, and actions that contradict one…
Lenny’s Podcast105 min

How to consistently go viral: Nikita Bier’s playbook for winning at consumer apps (co-founder of TBH, Gas, advisor, investor)

Nikita Bier · Aug 25, 2024
Key learnings
  • Look for latent demand: when users go through a distorted workaround to get a value, that signal can reveal a product idea with…
  • Target teens for social and communication products, since invitations per user drop roughly 20% per year from age 13 to 18, and…
  • Build a reproducible testing process: Bier argues that the number of shots at bat and how reliably you test ideas matters more…
Lenny’s Podcast193 min

Reflections on a movement

Eric Ries · Oct 29, 2023
Key learnings
  • Treat a startup as an experiment: state the hypothesis, identify the leap-of-faith assumptions, and design the cheapest test that…
  • An MVP is defined by the hypothesis being tested, not by a fixed level of stripped-down quality; it can be a brochure, a…
  • Quality is defined by the customer, so teams that don't know their customer can't really know what a quality bar means; get early…
Lenny’s Podcast123 min

10 contrarian leadership truths every leader needs to hear

Matt MacInnis · Dec 28, 2025
Key learnings
  • Extraordinary outcomes require extraordinary effort; if people feel comfortable at work, something has gone wrong, and leaders…
  • Deliberately understaff projects, since overstaffing invites politics and pulls people onto low-priority work before it is clear…
  • Withholding feedback is selfish because it optimizes for your own comfort; escalate issues in public and give direct feedback…