Interpret app metrics and make data-driven decisions. Covers DAU/MAU, retention, LTV, ARPU, App Store Connect analytics, AARRR funnel analysis, cohort analysis, and diagnostic decision trees.
SkillScore76Maintained
Automatic
◆Data Analyst pack
Last verified 8/18/2026
What it changes
Passed 19 of 25 test cases with the skill, and 13 of 25 without it.
Without skill52%
With skill76%
Checks it passed that the model alone missed
Recommends the Sunset strategic path
Includes the section header ## Overview
Identifies the correct conversion rate figure as 20%
and 6 more in the full report
7 fixed12 passed either way5 still failing1 broke
Pass-rate lift
+24 pp
Tokens
+184%
Agent turns
0%
Response time
-19%
Model gemini-3.6-flashMeasured 8/18/2026v119 of 25 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 7
Prompt
In App Store Connect subscription analytics, what single metric serves as the headline indicator for overall subscription health by balancing new paid starts against total churn?
What was checked, without and with the skill
Checked
Without skill
With skill
Identifies Net Paid Plans as the primary headline metric for subscription health
Passed
Passed
Explains that Net Paid Plans calculates new paid starts minus voluntary and involuntary churn
Missed
Passed
case-25 · gemini-3.6-flash · 8/18/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md470 linessingle file
Analytics Interpretation
Interpret your app's metrics, diagnose problems, and make data-driven decisions. Works with App Store Connect data, third-party analytics, or raw numbers the user provides.
When This Skill Activates
Use this skill when the user:
Wants to understand their app metrics or analytics
Asks about retention, LTV, ARPU, or churn
Wants to know if their metrics are good or bad
Needs help interpreting App Store Connect analytics
Wants a data-driven growth plan
Asks "what should I focus on to grow?"
Has metrics data and wants to know what it means
Process
Step 1: Gather Context
Ask the user via AskUserQuestion:
App type and monetization model
Free with ads, freemium, subscription, paid upfront, or hybrid?
Current metrics they have access to
App Store Connect? Third-party analytics (Mixpanel, Firebase, Amplitude)?
"Are my metrics good?" / "What should I fix?" / "Should I keep going?"
Also pull App Store Connect peer group benchmarks (App Analytics → Benchmarks) before interpreting any trend — they establish whether a metric is "bad for you" or "bad for the category."
How Peer Group Benchmarks Work
Peer group = App Store category + business model (free / freemium / paid / paidmium / subscription) + download-volume band
Benchmarked metrics: conversion rate, D1/D7/D28 retention, crash rate, average proceeds per paying user
You see the peer group's 25th / 50th / 75th percentile bands (example: day-1 retention 13.4% / 21.3% / 27.4%)
Differential privacy adds noise and groups have minimum sizes — judge by which quartile you're in, not exact deltas
Improving ≠ done: an app that lifted conversion +5.5% over 90 days can still sit in the bottom half of its peer group