- Capabilities
- Interactive, Read, Write
- Category
- Data
- Developer
- OpenAI
- Website
- (opens in a new window)
Acme adoption and retention dashboard
How it works
Use Data Analytics in ChatGPT to investigate metrics, analyze product or business performance, design KPIs, build dashboards or reports, and turn messy questions into clear, source-backed decisions.
Common use cases
Diagnose metric movement
Compare periods, validate definitions, and identify likely drivers so teams understand what changed and what to check next.
Data Diagnose why weekly active users changed last week. Identify likely drivers, compare against prior periods, and recommend the next checks.
Design decision-ready measurement
Define KPIs, drivers, guardrails, targets, and data requirements so teams know how success will be measured.
Data Design a KPI framework for this new product area with primary metrics, drivers, guardrails, targets, and data validation needs.
Operationalize insights
Create dashboards, reports, notebooks, or summaries that make evidence, caveats, and recommendations easy to review.
Data Turn this month's metrics into a leadership-ready update with actuals, comparisons, drivers, caveats, and recommended actions.
What’s included
Skills
- Analyze Data Quality
- Build Dashboard
- Build Report
- Convert To Doc
- Convert To Slides
- Create Data Context
- Design KPIs
- Gather Business Context
- 12 more
Resources
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