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analytics-interpretation

Analyze app performance metrics and generate data-driven recommendations.

Updated Mar 15, 2026
Search Tags:#analytics#metrics#growth#retention#cohort-analysis#funnel#aarr
One-click install
npx skills add https://github.com/jtvaris/sunday-night-dynasty --skill analytics-interpretation-jtvaris
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: analytics-interpretation
Source: https://github.com/jtvaris/sunday-night-dynasty/tree/main/.agents/skills/growth/analytics-interpretation
Command: npx skills add https://github.com/jtvaris/sunday-night-dynasty --skill analytics-interpretation-jtvaris

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Interpret and translate complex app metrics into actionable growth insights, enabling data-driven decisions.

Core Features & Use Cases

  • Analyze DAU/MAU, retention, LTV, ARPU, and funnel health to diagnose growth blockers.
  • Compare App Store Connect analytics with third-party data or raw numbers to surface actionable strategies.
  • Produce diagnostic decision trees and cohort analyses to inform a data-driven growth plan.

Quick Start

Provide your app metrics data and I will generate an interpretation and a practical growth plan.

Frequently Asked Questions about analytics-interpretation

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

FAQPage Schema
How do I interpret app metrics like DAU, MAU, and retention to find growth blockers?▼

Interpret app metrics by analyzing DAU, MAU, retention, LTV, and ARPU to diagnose growth blockers. This process translates complex performance data into a structured analytics health report with visualizable trends and actionable next steps for data-driven decisions.

What is the best way to analyze cohort analysis data for app retention scenarios?▼

The best way to analyze cohort analysis data is to produce diagnostic decision trees that compare App Store Connect analytics with third-party data. This surfaces actionable strategies and informs a comprehensive, data-driven growth plan for retention scenarios.

Can I use raw app numbers instead of App Store Connect analytics to generate a growth plan?▼

Yes, you can use raw app numbers. The analysis accepts App Store Connect analytics, third-party analytics, or raw numbers provided by you across onboarding, retention, and monetization scenarios to deliver a structured analytics health report.

How does funnel health analysis translate into actionable recommendations for app monetization?▼

Funnel health analysis translates into actionable recommendations by diagnosing drop-offs across onboarding, retention, and monetization scenarios. It generates a structured health report with defined metrics, visualizable trends, and practical next steps to improve app monetization.

Why do I need a diagnostic decision tree for my app's LTV and ARPU metrics?▼

You need a diagnostic decision tree for LTV and ARPU metrics to systematically diagnose growth blockers. It compares your data sources and surfaces actionable strategies, turning raw performance numbers into a structured, data-driven growth plan.

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