Drawer 11 · 316 notes · 58 people · 2005–2026

Metrics, data & experimentation

North-star metrics, analytics, A/B tests, and data-informed decisions

Q:
Answers from Metrics, data & experimentation notes, cited
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 Podcast173 min

Building product at Stripe: craft, metrics, and customer obsession

Jeff Weinstein · Jul 11, 2024
Key learnings
  • Treat a customer who takes time to complain as a rare gift; respond quickly and personally, since speed signals that you care.
  • Before investing in craft or polish, confirm the product solves a burning problem customers would pause their day for; polish…
  • Discount feedback from friends and casual users; focus on the specific target customer who has the problem and would pay to solve…
Lenny’s Podcast131 min

Why AI evals are the hottest new skill for product builders

Hamel Husain & Shreya Shankar · Sep 25, 2025
Key learnings
  • Evals are systematic ways to measure and improve an AI application, essentially data analytics on LLM behavior, replacing…
  • Start with error analysis by manually reviewing around 100 sampled traces and writing short notes on the first upstream failure…
  • Product people with domain expertise should lead open coding; appoint one 'benevolent dictator' whose judgment you trust instead…
Lenny’s Podcast108 min

Marketplace lessons from Uber, Airbnb, Bumble, and more

Ramesh Johari · Nov 9, 2023
Key learnings
  • Marketplaces sell the removal of friction (transaction costs) rather than the underlying goods, and both sides are customers who…
  • Don't build a marketplace before you have one: early on, find a bespoke value proposition that solves a real problem (e.g…
  • Apply a scaled-liquidity smell test: if you don't have a lot of buyers and sellers, you're not yet a marketplace; if one side is…
Lenny’s Podcast91 min

Building a world-class data org

Jess Lachs · Jul 14, 2024
Key learnings
  • Treat analytics as a business-impact function with a seat at the table, answering 'so what do we do now?' rather than only…
  • A central analytics org with pods mapped to partner teams keeps talent bars consistent, creates growth paths, and avoids…
  • Carve out intentional time for self-directed deep dives, such as hackathons, because exploratory work is the first thing to slip…
Lenny’s Podcast74 min

How to scrappily hire for, measure, and unlock growth

Crystal W · Jul 31, 2022
Key learnings
  • Run Wizard of Oz style experiments before building: use WhatsApp groups, screenshots, or manual processes to validate demand…
  • Experiments are worth running even with around 30 users; the trends stay similar, and precision improves with more data, while…
  • Define retention concretely as cohort retention; for a free weekly product, expect roughly 60% of the prior week's users to…
Lenny’s Podcast76 min

Using behavioral science to improve your product

Kristen Berman · Oct 2, 2022
Key learnings
  • Pick an uncomfortably specific behavior to change rather than a vague outcome like 'engagement'; teams should align on the exact…
  • Map every step required to perform the target behavior (a behavioral diagnosis) and attach the psychological barriers at each…
  • Reduce logistical and cognitive barriers to make desired behaviors easier, since people default to the path of least resistance…
Lenny’s Podcast114 min

The ultimate guide to Martech

Austin Hay · Aug 13, 2023
Key learnings
  • MarTech treats the marketing systems and platforms, both third-party and first-party, as products, and centers on people and…
  • A dedicated systems or MarTech owner usually becomes necessary somewhere around 100 to 150 people, when a village approach to…
  • Pick tools to solve specific problems, and combine buying a tool for most of the solution with building the remaining custom…
Lenny’s Podcast94 min

Breaking the rules of growth: Why Shopify bans KPIs, optimizes for churn, prioritizes intuition, and builds toward a 100-year vision

Archie Abrams · Nov 7, 2024
Key learnings
  • Optimize for the absolute number of people reaching each funnel stage, not local conversion rates, since rate-chasing teams often…
  • Judge growth by the total long-term value of a merchant cohort (cumulative GMV over several years) rather than per-merchant or…
  • Keep long-term holdouts and revisit experiments at 3, 6, 12, and 24 months, because many short-term wins fade and some neutral…
Lenny’s Podcast97 min

The ultimate guide to AEO: How to get ChatGPT to recommend your product

Ethan Smith · Sep 14, 2025
Key learnings
  • Everything that works in traditional SEO also works for AEO, so start with landing pages targeting high-volume keywords before…
  • In LLM answers you win by being mentioned across many citations, not by ranking first, so pursue multiple third-party mentions…
  • Early-stage companies can win in AEO quickly, since a single citation from a Reddit thread, YouTube video, or blog can get you…
Lenny’s Podcast110 min

Why great AI products are all about the data

Shaun Clowes · Dec 29, 2024
Key learnings
  • Start every document from the customer, market, and competitor perspective rather than internal execution, since…
  • Right-size qualitative research: interview roughly 7 to 14 people, because fewer gives too little signal and more stops yielding…
  • Use LLMs to hunt for where your strategy doesn't fit customer feedback, not to confirm what you already believe, and to infer…
Lenny’s Podcast101 min

Be fundamentally different, not incrementally better

Jag Duggal · May 16, 2024
Key learnings
  • Start from a deep, emotionally felt customer pain point rather than a feature idea; Nubank tied its origin to widely hated…
  • Use the Sean Ellis survey as a gate before scaling: ask how disappointed users would be if the product disappeared, and raise the…
  • Keep small, measure whether customers truly love it, and avoid scaling problems that aren't yet solved; scaling early creates big…
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 Podcast88 min

Becoming evidence-guided

Itamar Gilad · Sep 21, 2023
Key learnings
  • Build product from evidence rather than opinion; a leader's conviction should be tested with customer data, interviews, and…
  • Define clear, user-facing goals first, and map them with a metrics tree linking a North Star metric (value created for users) to…
  • Use ICE (impact, confidence, ease) to score ideas, and be honest about confidence using the confidence meter: opinions and themes…
Lenny’s Podcast107 min

Mastering paid growth

Jonathan Becker · May 7, 2023
Key learnings
  • Don't put all your marketing budget into one paid channel; treat spend like a portfolio and diversify across channels to avoid…
  • Judge paid lead-gen by downstream revenue, not cost per lead; a higher-cost lead that converts to valuable customers can…
  • Use a lead scoring model fed by CRM revenue data to bid more on audiences likely to become high-value customers, especially when…
Lenny’s Podcast103 min

Career frameworks, A/B testing mistakes, counterintuitive onboarding tips, selling to developers

Laura Schaffer · Mar 9, 2023
Key learnings
  • Build career momentum beyond your manager by learning your customers deeply and sharing those insights, which makes you a go-to…
  • Share customer insights regularly and make them visible; a recurring voice-of-the-customer report can grow into a forum that…
  • Expect many ideas to be rejected; treat each refusal as a chance to bring better information, since leaders value insights they…
Lenny’s Podcast102 min

Anthropic’s first technical PM on token maxing, the jagged edge, and living in the future

Dianne Penn · Jul 26, 2026
Key learnings
  • Treat evals as the new PRDs: turn vague user complaints into concrete, reproducible test sets that researchers can act on and…
  • Dig into user transcripts, not just pixels, to find where the model actually failed, such as wrong tool calls, bad retrieval, or…
  • Keep strong conviction about a theme or area while staying loose about the specific prototype, and revisit bets across one to two…
Lenny’s Podcast106 min

The ultimate guide to adding a PLG motion

Hila Qu · Apr 2, 2023
Key learnings
  • Treat PLG as data-led growth: free products should yield broader reach plus usage data showing which features correlate with…
  • Most companies end up running both PLG and sales motions; start PLG early because retrofitting it into a sales-led organization…
  • Commit for a year or two and don't mistake simply opening a free trial for a PLG strategy; it requires redesigning activation…
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 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 Podcast126 min

The original growth hacker reveals his secrets

Sean Ellis · Sep 5, 2024
Key learnings
  • Ask users how they would feel if they could no longer use the product; a high share saying 'very disappointed' is a leading…
  • Survey a random sample of users who have actually experienced the product and used it more than once recently, not just sign-ups…
  • Use the very-disappointed group as a filter: find their primary benefit and the context ('why is this important to you') to craft…
Lenny’s Podcast76 min

Mastering onboarding

Lauryn Isford · Feb 12, 2023
Key learnings
  • Experiment when you need to, mainly as risk mitigation for big changes; let customer research and mockups provide conviction for…
  • Onboarding is a critical choke point for self-serve products because downstream conversion, deal closing, and team-wide adoption…
  • For complex products, an immersive guided wizard that reduces cognitive load can outperform tooltips; tooltips still have a place…
Lenny’s Podcast90 min

Inside Etsy’s product, growth, and marketplace evolution

Tim Holley · Sep 3, 2023
Key learnings
  • Make one north-star KPI, such as gross merchandise sales, the drumbeat of every meeting and the yardstick for judging launches.
  • Repeat the company narrative relentlessly; Tim suggests people need to hear it several more times than you'd expect before they…
  • Benchmark against the broader set of places buyers spend money, not just direct marketplace competitors, to ground prioritization…
Lenny’s Podcast93 min

Developing a growth model + marketplace growth strategy

Dan Hockenmaier · Oct 9, 2022
Key learnings
  • A growth model is a spreadsheet formula for how your business grows; roughly half its value comes from the act of building it…
  • Start with three core building blocks for a SaaS growth model: acquisition channels, retention, and monetization; marketplaces…
  • Retention is often the most sensitive lever in a growth model, so small retention gains can be worth more than larger gains…