mcpField
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experiment-design

experiment-design

github.com/pratikshadakeProductivity3368 installsUpdated 36w ago
Repository

About experiment-design

experiment-design is a planning skill for designing quick, reliable validation experiments. It structures a hypothesis, test, metric, sample size or duration, and decision rule into a consistent output.

Key features

  1. 01Hypothesis definition
  2. 02Smallest valid test selection
  3. 03Success metric definition
  4. 04Sample size or duration planning
  5. 05Decision rule formulation

Use cases

  1. 01Planning a validation experiment
  2. 02Choosing a measurable test for a hypothesis
  3. 03Setting criteria to ship, iterate, or stop

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/pratikshadake/claude-product-management-skills --skill experiment-design

After installing, type/experiment-designin Claude Code to confirm it loaded.

Bundled filesreferences/example.md

Details

From the project README

Experiment Design Planner

Purpose

Design fast, reliable validation experiments.

Steps

  1. State the hypothesis.
  2. Choose the smallest valid test.
  3. Define success metric.
  4. Set sample size or duration.
  5. Define decision rule.

Output

Hypothesis
Experiment Method
Success Metric
Duration / Sample Size
Decision Rule

Ship / Iterate / Kill

References

See worked example for a complete scenario.

Comments

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