Analysis Plan Before the Query
Writes down the question, the method and what would count as an answer before you touch the data — the discipline that prevents fishing.
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Running it, start to finish
- Write the plan before opening the data.
- Run the section 5 checks and stop if any fail.
- Compare the result against your pre-registered expectations.
What you get back
The output this produces, every time.
- Forces the decision rule to be written before the data is seen.
- Specifies data quality checks that would invalidate the analysis, so they run first rather than never.
- Pre-registers what would confirm and contradict your expectation, which is the defence against fishing.
Getting better results
Where this usually goes wrong, and how to avoid it.
- Take section 2 seriously. If every result leads to the same decision, stop. That finding saves more time than any analysis you could run.
- Write section 8 down and timestamp it. Its entire value comes from having existed before the result did.
- Run the quality checks first. Finding a duplicate-row problem after presenting a conclusion is considerably more expensive than finding it before.
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Written for The AI University. Every prompt in this library is original work — authored, tested and revised here, not collected from elsewhere. 365 of them, free with an account.