Ten Tips to Leverage Data Better and Make Better Products
summary
Ten practical tactics: build a continual listening system that pairs qualitative interviews with quantitative metrics, set and track baselines (churn, open rates) versus industry for quick high-ROI fixes, adopt a Bayesian update process and Jahari-style known/unknown mapping, codify data principles so teams trust the work, be data-informed not data-driven, keep metrics stable and explain the why, record real customer stories for persuasion, and use visuals (Power BI/Tableau/Google Data Studio, maps) while remembering garbage in garbage out.
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chapters (14)
- 0:00Welcome and introduction
- 1:30Why data matters for products
- 5:21Ten tips overview
- 6:01Understanding market and customers
- 7:25Customer experience as differentiator
- 10:36Overcoming blind spots with data
- 12:39Leveraging baselines for quick wins
- 14:03Building trust with data principles
- 16:30Data informed vs data driven
- 18:35Communicating with metrics
- 19:39Storytelling with data
- 21:43Leveraging data visuals
- 23:07Recommended resources
- 24:10Q&A session
