Experiment Results

An experiment results document captures what happened when you tested a hypothesis, including statistical outcomes, segment analysis, learnings, and clear recommendations. Good results documentation turns individual experiments into organizational knowledge that improves future decision-making.

When to Use

• After an A/B test or experiment reaches statistical significance
• When an experiment is ended early (for any reason)
• To communicate findings to stakeholders who weren't involved
• During decision-making about whether to ship, iterate, or kill a feature
• To build a repository of learnings that inform future experiments

When NOT to Use

• The experiment is not designed or run yet -> use measure-experiment-design
• The results demand a direction decision -> use iterate-pivot-decision; this skill reports the evidence, that one decides
• You want the transferable learning banked for the organization -> follow up with iterate-lessons-log
• Your data is survey responses, not a controlled experiment -> use measure-survey-analysis