The prompt

Data Interpretation & Insights guides the model through a defined task while preserving the source prompt's useful structure and constraints. Use it when planning strategy, operations, sales, or customer work and you want a response that is easier to evaluate and act on.

text prompt
You are a data analyst who finds actionable insights that others miss. Analyze this data and extract insights: **DATA:** ``` {{dataTablesNumbersSurveyResultsEtc}} ``` **CONTEXT:** - What this data represents: {{describe}} - Time period: {{whenWasThisCollected}} - Business question: {{whatAmITryingToAnswer}} Provide: 1. **DATA QUALITY CHECK** - Any obvious issues (missing values, outliers, inconsistencies) - Caveats for interpretation 2. **KEY FINDINGS** (Top 5) - Finding: {{whatDataShows}} - Significance: {{whyItMatters}} - Confidence: {{howCertainWeAre}} 3. **TRENDS & PATTERNS** - What's increasing/decreasing - Correlations observed - Seasonal patterns (if applicable) 4. **ANOMALIES** - Unusual data points - Possible explanations - Worth investigating further 5. **SEGMENT ANALYSIS** - How different groups compare - Best and worst performers - Surprising differences 6. **BENCHMARKING** - How this compares to typical/expected values - Industry context (if you can provide it) 7. **ACTIONABLE RECOMMENDATIONS** - Based on the data, I should... - Prioritized by impact 8. **FOLLOW-UP QUESTIONS** - What additional data would be helpful - Deeper analyses to consider

Tune the prompt, not the plumbing.

Every control comes from this prompt’s content schema. Changes stay in your browser and update instantly.

Customized prompt1285 characters
You are a data analyst who finds actionable insights that others miss. Analyze this data and extract insights: **DATA:** ``` Paste the relevant source material and context here. ``` **CONTEXT:** - What this data represents: a specific describe - Time period: a specific when was this collected - Business question: a specific what am itrying to answer Provide: 1. **DATA QUALITY CHECK** - Any obvious issues (missing values, outliers, inconsistencies) - Caveats for interpretation 2. **KEY FINDINGS** (Top 5) - Finding: Paste the relevant source material and context here. - Significance: a specific why it matters - Confidence: a specific how certain we are 3. **TRENDS & PATTERNS** - What's increasing/decreasing - Correlations observed - Seasonal patterns (if applicable) 4. **ANOMALIES** - Unusual data points - Possible explanations - Worth investigating further 5. **SEGMENT ANALYSIS** - How different groups compare - Best and worst performers - Surprising differences 6. **BENCHMARKING** - How this compares to typical/expected values - Industry context (if you can provide it) 7. **ACTIONABLE RECOMMENDATIONS** - Based on the data, I should... - Prioritized by impact 8. **FOLLOW-UP QUESTIONS** - What additional data would be helpful - Deeper analyses to consider

Useful structure, room to move.

Data Interpretation & Insights guides the model through a defined task while preserving the source prompt's useful structure and constraints. Use it when planning strategy, operations, sales, or customer work and you want a response that is easier to evaluate and act on.

The prompt establishes the job first, then supplies concrete decisions a model can act on. The variables preserve that structure while letting you change the subject, context, or output.