ChatGPT
Analyse a Dataset With a Question
Analyse pasted data against a business question: findings, caveats, and the chart you should actually make.
SQL
Translate a business question into SQL with joins, grain warnings, and a check query.
Write SQL for this question. State grain and join assumptions. Question: {{question}} Warehouse / dialect: {{dialect}} Tables I have (names + key columns): {{schema}} Filters: {{filters}} Need: {{need}} Return: 1. Assumptions (grain, time zone, inclusive dates) 2. The query, readable CTEs, no SELECT * 3. How I should sanity-check the result (counts or a duplicate check) 4. Indexes / partition filters to respect if obvious from {{schema}} If the schema cannot answer the question, do not guess columns — list what is missing.
Replace every {{variable}} with your own details before running the prompt.
5 variables
Scroll to see every variable.
Analyse pasted data against a business question: findings, caveats, and the chart you should actually make.
Get the formula, a sample table layout, and the error cases to watch for — in Excel or Google Sheets.
Turn a stack of metrics into a one-page weekly: what moved, why it might have, and what to do.