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 Podcast104 min

How marketplaces win: Liquidity, growth levers, quality, and more

Benjamin Lauzier · Sep 29, 2024
Key learnings
  • Before reaching product-market fit, avoid marketplace mechanics and focus on delivering core value to one side of the marketplace.
  • Pick the hardest side to grow, which is usually supply, and find a hack or existing channel to jumpstart it before worrying about…
  • Measure liquidity as the share of intentful demand that converts, and track a market health metric like ETA that predicts it.
Lenny’s Podcast117 min

AI prompt engineering in 2025: What works and what doesn’t

Sander Schulhoff · Jun 19, 2025
Key learnings
  • Prompt engineering remains valuable: Sander argues that bad prompts can drop accuracy near zero on a task while good prompts can…
  • Few-shot prompting is the highest-impact basic technique: give the model several examples of what good output looks like, using a…
  • Ask the model to decompose a problem by first listing the subproblems it needs to solve, then solving each one before answering…
The Looking Glass podcastMar 11, 2026

What Excellent Growth Teams See That Others Miss

Mar 11, 2026
Key learnings
  • Excellent growth teams look for opportunities that others in the organization tend to overlook, rather than only chasing the…
  • Growth work at a marketplace like DoorDash requires balancing consumers, merchants, and dashers, so teams should consider the…
  • Seven lessons framing suggests growth is treated as a repeatable discipline with distinct principles rather than a series of…