Effective Dashboard Design Using
summary
Framework claims that dashboards must be treated as data products and built through a light discovery vs delivery cycle; prototype with a CSV or Google Sheets and the Apache Superset no‑code chart builder to validate ideas (one prototype took ~30 minutes). Separate overview vs exploratory tabs so a strategic KPI view stays simple while an analytical tab exposes raw issues and links to GitHub. Use dbt for heavy transforms, Slack/email alerts and usage metrics for delivery, and expect embedded analytics to need extra engineering.
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chapters (20)
- 0:00Intro
- 2:48Common requests for dashboards
- 5:27What is a dashboard
- 8:07Expectations for dashboards
- 9:45Product Management Framework
- 11:40Lightweight Design Process
- 13:34Dashboard Example
- 14:53Feedback
- 17:12Types of dashboards
- 18:15Strategic dashboards
- 18:58Tabs
- 19:10Overview Tab
- 20:54Exploration Tab
- 23:49Effectiveness Tab
- 29:23Preset
- 29:47Takeaway
- 30:45Resources
- 32:28Questions
- 33:04Where is the Superset community
- 35:23How do you avoid making mistakes
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