From Data Points to Heartbeats: Moving Beyond Data to Get the Picture Right
summary
Argues that metrics alone miss the real problems and gives concrete pivots: at Google an algorithm gap forces hiring 10,000 reviewers, creating a 250 million loss that reveals a mis‑focused priority; at Tinder AB testing and trust surveys show statistically significant changes but not causes, so the team runs on‑the‑ground Japan interviews, shifts onboarding and verification placement, and improves gender balance and retention. Emphasizes combining AB tests with targeted qualitative research to find the right mountain.
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