How Do You Get More of Product Insight
summary
Argues that insights — not raw numbers — drive product decisions and lays out specific practices and tools: use auto-capture analytics (Heap) to have retroactive, complete data; write and test hypotheses with a problem brief / design brief / after action report workflow; clean data with a data dictionary and deliver metrics cross-team (Salesforce connector). Gives examples: product-page changes lift purchases ~6%, and a user value metric built from 80 inputs guides retention work.
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chapters (15)
- 0:00Introduction and welcome
- 1:13Data alone doesn’t build products
- 3:00What defines a true insight
- 6:49Why more insights matter
- 7:11Hypotheses and testing with data
- 9:40Problem and design briefs
- 11:21After action reports
- 11:41Having data at hand
- 14:55Complete and trustworthy data
- 15:15Lending Club’s error insight
- 17:20Organize data to spark insights
- 18:45Data dictionary and transparency
- 19:25Deliver data to drive action
- 20:49Conductor’s user value metric
- 21:57Summary and key strategies
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