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ab-test-analysis

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About ab-test-analysis

A

ab-test-analysis

Analyze A/B test results with statistical significance, sample size validation

ab-test-analysis is an agent skill for evaluating A/B test results with statistical rigor and turning the findings into a product decision. It checks statistical significance, validates the sample size, calculates confidence intervals, and recommends whether to ship the variant, extend the test, or stop it. Before it analyzes anything, it works through the experiment: the hypothesis, the change in the variant, the primary metric and any guardrail metrics, how long the test ran, and the traffic split. If you provide CSV, Excel or analytics export files, it reads them directly and can generate Python scripts for the statistical calculations. The skill is for product managers and analysts who need a clear answer from an experiment, rather than a headline percentage that may not be meaningful. It is part of the pm-skills collection by phuryn and is listed on skills.sh as free.

View ab-test-analysisAll AI Skills apps
Price
Free
Made by
phuryn
Category
AI Skills
Website
github.com/phuryn/pm-skills/ab-test-analysis