Turn a business question into a SQL query
Describe your tables and the question you need answered and get a correct, commented SQL query with assumptions spelled out.
Analyze survey responses, from rating scores to open-text comments, into themes, key findings and recommended actions.
Analyze the results of this survey and give me findings I can act on.
Survey purpose: {{purpose}}
Respondents: {{respondents}}
Questions and results (scores, counts, and/or open-text comments):
{{results}}
Decision this survey should inform: {{decision}}
Do the following:
1. Data quality first: note sample size, likely response bias, margin of error where I gave enough information, and anything that limits what we can conclude. Do not overstate results from small groups; say "too few responses to say" when appropriate.
2. Quantitative findings: summarize each closed question in one line (use percentages and counts), highlight the 3 strongest patterns, and compare any subgroups I provided. Avoid calling small differences meaningful.
3. Open-text themes: group comments into 4-6 themes, with a count or rough share, a short description, and one representative quote that I gave you. Do not invent quotes.
4. Tensions: where the numbers and comments disagree, or where subgroups want opposite things.
5. Recommendations: 3-5 actions ranked by impact and confidence, each tied to evidence above.
6. Next time: 3 improvements to the survey itself.
7. One-paragraph executive summary.
If a key figure is missing or ambiguous, list the questions at the end rather than assuming.It separates sample limitations from findings and refuses to invent quotes, which keeps the report honest. Paste more raw comments for better theme counts.
Licensed CC0 (public domain) Version 1 · history
Describe your tables and the question you need answered and get a correct, commented SQL query with assumptions spelled out.
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