product-analytics

Analyze product usage data and generate structured markdown reports.

Updated Aug 27, 2026

Search Tags:#analytics #dashboards #metrics #data #product

Ready to run

npx skills add https://github.com/cncorp/arsenal --skill product-analytics-cncorp

💬 Prompt for ChatGPT / Claude Chat▼

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.