Best AI Data Analysis Prompts
12 curated prompts — copy-ready
These prompts cover the analysis work that fills a working week: turning a CSV into a report, reading survey and A/B test results, interpreting cohorts, picking the right chart, planning a KPI dashboard, and writing the spreadsheet formula you keep forgetting. Each one asks for the inputs the model actually needs, such as the columns, the metric definition, and who will read the result, so the output is something you can check rather than a confident guess.
- 1
Survey Results Analyzer
This prompt turns raw survey data into a structured analysis report with actionable insights. It goes beyond simple tallying by identifying hidden pat...
- 2
CSV Data Analysis Report Generator
Turning raw data into actionable insights is where most analysis efforts stall. This prompt provides a structured analytical framework that ensures no...
- 3
Exit Interview Theme Analyzer
This prompt turns a stack of exit interview notes into a clear picture of why people are leaving and what to do about it. It ranks the reasons for lea...
- 4
Chart Type Recommender
This prompt provides expert-level data visualization guidance by analyzing your specific data and recommending the optimal chart type with detailed ju...
- 5
Data Dashboard Layout Planner
This prompt produces a complete dashboard design specification including layout structure, chart type recommendations, interaction patterns, and respo...
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- 6
Data Visualization Recommender
This prompt helps analysts and data professionals select the most effective chart types for their specific data and audience. Rather than defaulting t...
- 7
KPI Dashboard Designer
This prompt generates a complete KPI dashboard specification including metric selection, calculation formulas, layout design, and drill-down architect...
- 8
Spreadsheet Formula Builder
This prompt converts plain English descriptions of calculations into working spreadsheet formulas for Excel or Google Sheets. Whether you need a compl...
- 9
A/B Test Design and Results Analyzer
Most A/B tests fail not because of bad ideas but because of poor experimental design: underpowered tests, peeking at results too early, or no pre-defi...
- 10
Cohort Analysis Interpreter
Cohort analysis is the most powerful tool for understanding retention, but interpreting cohort tables requires pattern recognition skills that take ye...
- 11
Customer Survey Response Analyzer
Customer survey data is only valuable if you can extract actionable insights from it, and many teams lack the analytical framework to do so systematic...
- 12
Data Dashboard Design and Layout
Designing effective data dashboards requires balancing information density with clarity, and choosing the right visualization for each metric. This pr...
How to Get the Best Results
- Paste the column headers and two or three sample rows instead of describing the data; the model reasons better from the real shape.
- State how a metric is defined before asking for a conclusion, so a change in the number is not a change in the definition.
- Ask for the calculation steps alongside the answer and spot-check one figure in your spreadsheet before you trust the rest.
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