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metrics

Define success metrics and KPIs with instrumentation guidance for product features.

42|5|Updated Mar 8, 2026
Search Tags:#analytics#product management#metrics#instrumentation#success criteria#kpis
One-click install
npx skills add https://github.com/kazdenc/builder-skills --skill metrics-kazdenc
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: metrics
Source: https://github.com/kazdenc/builder-skills/tree/main/.claude/skills/product/launch/metrics
Command: npx skills add https://github.com/kazdenc/builder-skills --skill metrics-kazdenc

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps you clearly define what success looks like for a new feature or product by establishing measurable metrics and ensuring you have the instrumentation to track them.

Core Features & Use Cases

  • Goal Definition: Clarifies the business outcome and user behavior expected from a feature.
  • Metric Selection: Guides the choice of primary, leading, lagging, and guardrail metrics.
  • Instrumentation Planning: Outlines the specific events and properties needed for accurate tracking.
  • Use Case: Before launching a new onboarding flow, use this Skill to define the key metrics (e.g., onboarding completion rate, time to first value) and ensure the necessary analytics events are set up.

Quick Start

Use the metrics skill to define success metrics for the new user profile feature.

Frequently Asked Questions about metrics

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

FAQPage Schema
How do I define success metrics for a product feature?▼

To define success metrics for a product feature, identify your expected business outcomes and user behaviors, then establish measurable primary, leading, lagging, and guardrail KPIs to track progress.

What is the difference between leading and lagging indicators in KPIs?▼

Leading indicators in KPIs are early behavioral metrics predicting future outcomes, while lagging indicators measure past results like revenue, helping you balance predictive signals with historical success criteria.

How do I plan analytics instrumentation for tracking product metrics?▼

Planning analytics instrumentation for product metrics requires outlining specific tracking events and properties needed to accurately capture user behaviors and measure your defined feature success criteria.

What's the best way to set up KPIs before launching a new onboarding flow?▼

Setting up KPIs before launching an onboarding flow involves selecting metrics like onboarding completion rate and time to first value, then ensuring analytics events are instrumented to track them.

Do I need clear goals before defining feature KPIs?▼

Yes, defining feature KPIs requires clear articulation of business goals and expected user behaviors upfront to ensure the selected metrics drive actionable, data-driven product decisions.

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