product-analytics

Analyze product usage data and generate structured markdown reports.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/cncorp/arsenal --skill product-analytics-cncorp
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: product-analytics
Source: https://github.com/cncorp/arsenal/tree/main/dot-claude/skills/product-analytics
Command: npx skills add https://github.com/cncorp/arsenal --skill product-analytics-cncorp

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a framework for analyzing product usage data, identifying patterns, and translating insights into actionable recommendations.

Core Features & Use Cases

  • Structured analysis flow: from question formulation to insights.
  • Metrics templates: build executive summaries and dashboards.
  • Reporting-ready outputs: Markdown-ready sections for executive reviews.

Quick Start

Use the provided templates to structure your analysis and document findings in a markdown file.

Frequently Asked Questions about product-analytics

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

FAQPage Schema
How do I analyze product usage data to identify user behavior patterns?

Analyze product usage data by querying production data with SQL, then generating a structured markdown report covering metrics, user segments, and engagement patterns across time ranges and feature scenarios to extract actionable insights.

What should an executive summary for product analytics include?

An executive summary for product analytics should include metrics overview, detailed analysis of user behavior, pattern identification, user segment breakdowns, and visualization recommendations—all structured to support dashboard creation and decision-making.

Can I use product analytics to segment users by engagement and behavior?

Yes, product analytics supports multi-granularity user segmentation by querying engagement metrics, feature usage, and behavioral patterns across defined time ranges, enabling tailored analysis for different user cohorts.

How do I identify failure modes and gaps in product usage data?

Identify failure modes by conducting deep-dive analysis of usage anomalies, gaps in feature adoption, and engagement drop-offs across user segments, then document findings in structured sections to inform product improvements.

What's the best way to generate dashboards from product metrics analysis?

Structure your analysis with visualization recommendations in the report output—map metrics, user segments, and patterns to dashboard components that support ongoing monitoring and stakeholder reviews.