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designing-innovation-experiments

Translate Innovation PRDs into testable experiments with hypotheses and metrics.

1|Updated Feb 5, 2026
Search Tags:#design#metrics#RAG#PRD#experiments#hypotheses
One-click install
npx skills add https://github.com/adorosario/aeo-faq-audit --skill designing-innovation-experiments
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: designing-innovation-experiments
Source: https://github.com/adorosario/aeo-faq-audit/tree/main/.claude/skills/designing-innovation-experiments
Command: npx skills add https://github.com/adorosario/aeo-faq-audit --skill designing-innovation-experiments

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps product teams convert vague Innovation PRDs into actionable experiment plans with explicit hypotheses, metrics, and evaluation criteria.

Core Features & Use Cases

  • Structured Experiment Design: Turn PRDs into a sequence of testable experiments with clear hypotheses, methods, and success criteria.
  • Comparative Evaluation: Facilitate side-by-side assessment of multiple approaches (e.g., different RAG configs, agent workflows, or automation options).
  • Operational Guidance: Provide an output format that includes hypothesis, design, metrics, instrumentation, duration, and prioritization for quick execution.

Quick Start

Provide a concise experiment plan for a given Innovation PRD, including hypotheses, design, metrics, instrumentation, and prioritization.

Frequently Asked Questions about designing-innovation-experiments

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

FAQPage Schema
How do I turn an Innovation PRD into a testable experiment plan?▼

To turn an Innovation PRD into a testable experiment plan, you define structured outputs including specific hypotheses, experiment design, metrics, instrumentation, duration, and prioritization for quick execution.

What metrics should I use when evaluating RAG quality and agent workflows?▼

Evaluating RAG quality and agent workflows requires defining specific metrics and success criteria within your experiment design to measure performance and compare different configurations.

Can I use this to compare multiple approaches in a side-by-side evaluation?▼

Yes, this approach facilitates side-by-side comparative evaluation of multiple approaches such as different RAG configurations, agent workflows, or automation options against shared success criteria.

What is included in the structured output for an innovation experiment?▼

The structured output for an innovation experiment includes the hypothesis, experiment type, design, metrics, instrumentation, duration, and prioritization for clear evaluation and quick execution.

Does this approach work for product teams evaluating automation options without prior hypotheses?▼

No, this approach requires clear hypotheses to function properly. It targets product teams by converting vague Innovation PRDs into actionable experiment plans with explicit hypotheses and evaluation criteria.

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