From data to a decision
Analyzes a table or export and tells you what it means, what is noise and what to do.
Use it when
You have a spreadsheet and a question, but no analyst.
What you fill in
- data The data (paste a table or CSV)
- question The decision you need to make
The prompt
Analyze this data to answer: question data 1. Describe the data: rows, columns, time range, and any quality issues (missing values, outliers, duplicates). 2. The analysis that answers the question, with the calculations shown. 3. What is signal and what may be noise (small samples, seasonality). 4. The answer in one sentence, your confidence, and the decision it supports. 5. One more piece of data that would most improve confidence. Do not round away important differences, and do not claim causation from correlation. Before you answer, check your draft against every instruction above and fix anything that misses.
Why it works
- Checks data quality first.
- Shows calculations so they can be verified.
- Separates signal from noise and correlation from causation.