product-analytics

Define success metrics, design A/B experiments, and create tracking plans.

3|Updated Jan 20, 2026
One-click install
npx skills add https://github.com/alunadev/ald-skills --skill product-analytics-alunadev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: product-analytics
Source: https://github.com/alunadev/ald-skills/tree/main/skills/product-analytics
Command: npx skills add https://github.com/alunadev/ald-skills --skill product-analytics-alunadev

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill transforms vague goals into specific, actionable metrics, ensuring that data-driven decisions are made effectively and that product development is aligned with measurable outcomes.

Core Features & Use Cases

  • Metric Definition: Creates structured metrics frameworks tied to product decisions, not just dashboards.
  • Experiment Design: Designs rigorous A/B tests with clear hypotheses, sample size calculations, and decision criteria.
  • Tracking Plans: Defines events and properties to instrument for accurate data collection.
  • Post-Launch Analysis: Analyzes results against targets and informs decisions to ship, iterate, or kill.
  • Use Case: Before launching a new feature, use this Skill to define its success metrics, design an A/B test to validate its impact, and create a tracking plan to ensure the necessary data is collected.

Quick Start

Use the product-analytics skill to define success metrics for the new user onboarding flow.

Frequently Asked Questions about product-analytics

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

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

Defining success metrics requires creating structured frameworks tied directly to product decisions. This Skill transforms vague product goals into specific, actionable metrics that connect to user value and ensure guardrails remain non-negotiable.

What's the best way to design an A/B test for product analytics?

Designing A/B tests requires rigorous hypotheses, sample size calculations, and clear decision criteria. This Skill structures your experiment design to validate feature impact and ensure post-launch analysis informs whether to ship, iterate, or kill.

How do I create a tracking plan for accurate data collection?

Creating a tracking plan involves defining specific events and properties to instrument. This Skill guides you in establishing a comprehensive tracking plan that ensures necessary data is collected for accurate post-launch analysis.

When do I need a metrics framework for product analytics?

A metrics framework is needed when transforming vague goals into specific, decision-ready metrics. This Skill ensures data-driven decisions are made effectively by aligning product development with measurable outcomes and product strategy.

Can I use this for analyzing post-launch impact against targets?

Analyzing post-launch impact involves comparing results against targets to inform decisions. This Skill provides expert guidance to analyze results and determine whether to ship, iterate, or kill based on actionable insights.