ab-test-analysis

Name: ab-test-analysis
Availability: InStock
Author: Tarun

Analyze A/B test results and generate ship, extend, or stop recommendations.

5|2|Updated Mar 27, 2026

Search Tags:#statistics #data-analysis #ab-test #a-b-testing #significance #product-decision

Ready to run

npx skills add https://github.com/tarunccet/pm-skills --skill ab-test-analysis-tarunccet

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ab-test-analysis
Source: https://github.com/tarunccet/pm-skills/tree/main/pm-data-analytics/skills/ab-test-analysis
Command: npx skills add https://github.com/tarunccet/pm-skills --skill ab-test-analysis-tarunccet

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyzes A/B test results with statistical rigor and translates findings into actionable product decisions.

Core Features & Use Cases

Statistical assessment: compute p-values, confidence intervals, and power checks for control vs. variant.
Decision guidance: translate results into ship/extend/stop actions, with guardrail considerations.
Flexible data intake: read CSV, Excel, or analytics exports and generate Python scripts for calculations when needed.

Quick Start

Provide the A/B test results data file and I will generate a significance report with actionable recommendations.

Frequently Asked Questions about ab-test-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I calculate statistical significance for A/B test results?▼

To calculate statistical significance for A/B test results, the tool computes p-values, confidence intervals, and power checks for control vs. variant groups. It analyzes conversion, engagement, and guardrail metrics to determine if a variant meaningfully improves outcomes.

Can I analyze A/B test data from a CSV or Excel export?▼

Yes, you can analyze A/B test data from a CSV or Excel export. The tool supports flexible data intake from these formats and analytics exports, generating Python scripts for calculations when needed to produce a significance report.

What is the best way to translate A/B test statistics into product decisions?▼

The best way to translate A/B test statistics into product decisions is by assessing guardrail considerations alongside significance. The tool delivers clear ship, extend, or stop recommendations based on p-values and confidence intervals.

How do I assess guardrail metrics during A/B testing?▼

To assess guardrail metrics during A/B testing, the tool evaluates them alongside conversion and engagement metrics across defined durations and traffic splits. It includes a guardrail assessment in the final interpretation to prevent negative impacts.

Does the A/B test analysis support experiments with custom traffic splits?▼

Yes, A/B test analysis supports experiments with custom traffic splits. The tool applies statistical rigor to quantify significance across defined durations and traffic splits, ensuring accurate product decisions for your specific experimental setup.