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product-analytics

Evaluate A/B tests, cohort retention, and funnel metrics for product decisions.

217|20|Updated Dec 31, 2025
Search Tags:#analytics#product strategy#retention#experimentation#a/b testing#funnel analysis
One-click install
npx skills add https://github.com/yonatangross/orchestkit --skill product-analytics-yonatangross
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: product-analytics
Source: https://github.com/yonatangross/orchestkit/tree/main/plugins/ork/skills/product-analytics
Command: npx skills add https://github.com/yonatangross/orchestkit --skill product-analytics-yonatangross

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a structured framework for analyzing product data, enabling data-driven decisions about feature development, user engagement, and overall product strategy.

Core Features & Use Cases

  • A/B Test Evaluation: Rigorously assess experiment results to determine if changes should be shipped, extended, or killed.
  • Cohort Retention Analysis: Understand user stickiness and habit formation over time.
  • Funnel Analysis: Identify and prioritize critical drop-off points in user journeys.
  • Use Case: After launching a new feature, use this Skill to analyze its impact on user retention and conversion rates through A/B testing and funnel analysis, ensuring the feature drives meaningful product growth.

Quick Start

Analyze the results of the recent A/B test on 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 evaluate A/B test results for statistical significance in product analytics?▼

Evaluating A/B test results requires calculating statistical significance and sample size to determine if product changes should be shipped. This Skill provides frameworks for rigorous experiment evaluation to support data-driven decisions.

What is the best way to analyze cohort retention and user stickiness?▼

Cohort retention analysis tracks user stickiness and habit formation over time. This Skill provides structured methodologies to understand how different user cohorts engage with your product across their lifecycle.

How do I identify conversion drop-offs using funnel analysis?▼

Funnel analysis identifies and prioritizes critical drop-off points in user journeys. This Skill helps pinpoint exactly where users abandon the flow to prioritize conversion rate improvements.

Can I use this Skill for experiment-driven product strategy without external dependencies?▼

Yes, this Skill operates with no external dependencies and provides self-contained frameworks. It includes scripts, references, and rules for statistical significance, sample size calculation, and data interpretation.

How do I calculate sample size for an A/B test on a new user onboarding flow?▼

Sample size calculation for A/B testing onboarding flows uses built-in statistical methodologies to ensure valid results. This Skill provides the necessary frameworks to determine adequate sample sizes before running experiments.

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