A statistical analysis plan (SAP) is a document that specifies how you'll analyze your data, written and finalized before you see the outcomes — ideally before data collection ends, or before unblinding in a trial. Its purpose is narrow but important: it draws a hard line between analyses you planned and analyses you decided on after seeing what the data looked like, which is exactly the distinction a skeptical reviewer, funder, or reader wants to be able to trust.
SAPs are standard practice in clinical trials, but the same logic applies to any funded study or evaluation where credibility depends on the reader believing the reported analysis wasn't chosen after the fact. A pre-specified analysis plan is one of the simplest things you can point to when a reviewer asks whether a result is the product of the design or the product of trying several models until one looked good.
The SAP doesn't have to be a long document, and it can be refined up until the point you see outcome data — the requirement is that the key decisions are locked in before you know how they'll turn out, not that the plan is perfect on the first draft.
If you're writing an analysis plan for a grant, trial registration, or IRB submission, this is a document we write and review constantly.
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