My three favourite product discovery mistakes
summary
Three reproducible mistakes: running an AB test shows more donations but less revenue because the chosen metric (count of donations) ignores average gift value; recruiting feedback via an opt‑in beta produces self‑selecting beta biased results as weather nerds loved the BBC redesign that mainstream users found cluttered; and replacing legacy apps by copying features instead of mapping needs leads to wasted effort — better to rebuild by mapping user needs not features and to triangulate with small experiments and multiple metrics.
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chapters (8)
- 0:00Introduction
- 3:30Doing nothing is worst
- 5:15What is product discovery
- 9:33Failing to define success
- 16:40Relying on flawed data
- 20:29Inventing solutions without problems
- 26:53Final thoughts
- 29:47Q&A
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