ChatGPT interprets operational and financial datasets to surface trends, diagnose issues, forecast outcomes, and optimize initiatives.
I uploaded a funnel dataset showing customer journey stages. Analyze conversion rates between each stage and identify the largest drop-offs. Suggest 2–3 hypotheses and next steps to test or investigate.
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This prompt analyzes a sales pipeline export to calculate conversion rates between stages and identify the biggest drop-off point.
Analyzes funnels, behavior, tech, and proposes a 30‑day CRO roadmap with lift estimates.
Creates a customer journey map in a table format, outlining stages, goals, touchpoints, and pain points.
What it does: Diagnoses where and why users fail to reach their aha moment during onboarding. When to use it: When activation rates are below 25%, after product changes, or when scaling acquisition but not retention.
This prompt can help you create great insights on your customer journey if you can attach files to the prompt that have data about your customers (support data, survey responses, sales process, customer reviews etc.)
When to use: Your conversion rates are low or you don't have a systematic sales process.