feature-metrics

Community

Define trustworthy experiment metrics.

AuthorTimothyNguyen04
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill helps product managers and teams define clear, measurable, and trustworthy success metrics for new features using the STEDII framework, ensuring experiments are well-defined and results are interpretable.

Core Features & Use Cases

  • Metric Definition: Guides users through defining primary metrics, guardrail metrics, and kill criteria.
  • Framework Application: Enforces the use of the STEDII (Sensitive, Timely, Easy to Understand, Directional, Implementable, Independent) framework for metric quality.
  • Contextualization: Integrates with existing product documents, business information, and historical data for informed metric selection.
  • Use Case: When launching a new user onboarding flow, use this skill to define the primary success metric (e.g., onboarding completion rate) and guardrail metrics (e.g., page load time, error rates) to ensure the feature is successful without causing negative side effects.

Quick Start

Use the feature-metrics skill to define success metrics for your new feature.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: feature-metrics
Download link: https://github.com/TimothyNguyen04/pmos/archive/main.zip#feature-metrics

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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