ChatGPT Data Agent prompt examples

@Data Diagnose why weekly active users changed last week. Confirm the canonical WAU definition, source, filters, and timezone. Compare with the previous eight weeks and the same week last year. Break the change down by country, acquisition channel, and plan. Quantify each segment's contribution, show evidence for material findings, and separate verified drivers from hypotheses. End with the next checks that would reduce uncertainty.

@Data Reconcile monthly recurring revenue this month to date against budget, forecast, last month, and the same month last year. Use the approved MRR definition. Build a movement table for new, expansion, contraction, and churn by product and region. Confirm that movements reconcile to ending MRR, flag data-quality caveats, and write a concise leadership summary with evidence-linked actions.

@Data Build an interactive business-health dashboard for the rolling 13 weeks. Start with approved definitions for revenue, active customers, retention, pipeline coverage, and support backlog. Include KPI cards, trends against targets, a driver waterfall, segment detail, and filters for region, product, and customer segment. Make chart titles state the takeaway and keep every metric traceable to its source.