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craft-experiment-readout

Summarize A/B test outcomes and recommend next steps for stakeholders.

142|16|Updated Mar 20, 2026
Search Tags:#stakeholder#recommendation#experiment#product-management#ab-test#readout
One-click install
npx skills add https://github.com/amplitude/builder-skills --skill craft-experiment-readout
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: craft-experiment-readout
Source: https://github.com/amplitude/builder-skills/tree/main/product-skills/skills/craft-experiment-readout
Command: npx skills add https://github.com/amplitude/builder-skills --skill craft-experiment-readout

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It eliminates the manual effort of interpreting raw experiment data and crafting stakeholder‑ready summaries, ensuring decisions are based on a clear, structured readout.

Core Features & Use Cases

  • Full Experiment Summary: Generates a concise overview of hypothesis, metrics, and outcomes.
  • Winner Determination & Recommendation: Identifies the winning variant and suggests next steps (ship, iterate, or kill).
  • Stakeholder Communication: Produces TL;DR and impact statements tailored to audiences such as leadership or engineering teams.
  • Use Case Example: After an A/B test on a new onboarding flow, provide the metrics and audience to receive a ready‑to‑share recommendation deck.

Quick Start

Summarize your A/B test results and draft a stakeholder recommendation by providing the experiment data and specifying the audience.

Frequently Asked Questions about craft-experiment-readout

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

FAQPage Schema
How do I write an A/B test readout for stakeholders?▼

To write an A/B test readout for stakeholders, provide your experiment metrics, sample sizes, and confidence intervals to generate a structured summary featuring hypothesis recap, winner determination, and actionable TL;DR recommendations.

What is the best way to summarize A/B test results for leadership?▼

The best way to summarize A/B test results for leadership is to generate a tailored TL;DR and impact statement that identifies the winning variant and recommends next steps like ship, iterate, or kill.

How do I determine the winner of an A/B test and recommend next steps?▼

To determine the winner of an A/B test and recommend next steps, input your experiment metrics and confidence intervals to automatically evaluate variants and generate a structured ship, iterate, or kill recommendation.

Can I create a product experiment summary without statistical expertise?▼

Yes, you can create a product experiment summary without statistical expertise by providing raw metrics, sample sizes, and target audiences to automatically generate a structured readout with hypothesis recap, segment analysis, and clear recommendations.

Does an A/B test readout include segment analysis and confidence intervals?▼

An A/B test readout includes segment analysis and confidence intervals by processing your provided experiment data to generate a full summary of metrics, outcomes, and variant comparisons tailored for engineering or leadership teams.

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