Trust, Knowledge and your Data. Our approach at KADA to building a great data product
summary
KADA reports that 95% fail of dashboards, models, apps and APIs never get used long term and prescribes five concrete practices: build an audience by pushing product news with a recommendation engine, label verified use cases so users know what a product is for, centralize and automate knowledge capture, collect realtime feedback loops (sentiment at time of use), and track simple metrics like weekly active users to detect churn and trust loss.
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chapters (9)
- 0:00Intro
- 1:07Data products fail
- 2:29Successful data products
- 4:27Knowledge
- 6:14Building your audience
- 7:42Defining the purpose
- 9:00Scaling knowledge
- 10:30Get regular feedback
- 11:25Tracking metrics
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