niopd-pd-experiment

name	niopd-pd-experiment
description	Designs product experiments (A/B tests, pilots). Use for feature validation, optimization, or data-driven decisions.

Experiment Design Skill

This skill designs rigorous product experiments for validation.

Theoretical Foundation

Experiment Components

• Hypothesis: What we believe will happen
• Variables: What we change (independent) and measure (dependent)
• Control: Baseline for comparison
• Sample Size: Statistical significance requirements
• Duration: How long to run

Instructions

Step 1: Define Hypothesis

"We believe [change] will cause [effect] for [users]."

Step 2: Design Test

Element	Control	Treatment
[Variable]	[Baseline]	[Change]

Step 3: Determine Metrics

• Primary: [What success looks like]
• Secondary: [Supporting metrics]
• Guardrails: [What not to break]

Step 4: Calculate Sample Size

Based on:

• Minimum detectable effect
• Baseline conversion rate
• Statistical significance (typically 95%)

Step 5: Plan Duration

Consider:

• Sample accumulation rate
• Weekly patterns
• External factors

Step 6: Generate Document

File path: 04-plans/[YYYYMMDD]-experiment-v0.md

Output Specifications

• File Naming: [YYYYMMDD]-experiment-v0.md
• Location: 04-plans/
• Template: references/experiment-template.md