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product-data-analyst

Analyze product usage data to produce structured markdown reports with recommendations.

6|1|Updated Mar 5, 2026
Search Tags:#metrics#reporting#pattern#analyze#funnels#product-data
One-click install
npx skills add https://github.com/pwv-vc/agentcribs-community --skill product-data-analyst
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: product-data-analyst
Source: https://github.com/pwv-vc/agentcribs-community/tree/main/resources/tearsheets/arsenal/dot-claude/skills/product-data-analyst
Command: npx skills add https://github.com/pwv-vc/agentcribs-community --skill product-data-analyst

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Product teams often struggle to translate raw usage data into clear, actionable insights about funnels, engagement, and relationship signals. This skill provides a structured framework to analyze product data and generate concrete recommendations that improve onboarding, activation, and user satisfaction.

Core Features & Use Cases

  • Unified analytics for funnels, engagement, reactions, and trends.
  • Guidance on when to use product analytics vs sql-reader, with practical examples.
  • Real-world scenario: diagnose onboarding and activation bottlenecks, compare power-user vs casual-user patterns, and surface actionable recommendations.

Quick Start

Identify a concrete product question for this session and describe the time range to analyze, then run the corresponding workflow to generate a structured insights report.

Frequently Asked Questions about product-data-analyst

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

FAQPage Schema
How do I analyze product data to find onboarding and activation bottlenecks?▼

To analyze onboarding and activation bottlenecks, you examine product usage data to reveal patterns in funnels and engagement. This process surfaces actionable recommendations by comparing power-user and casual-user behaviors within a specified time range.

What is the best way to turn raw product usage data into actionable insights?▼

Turning raw product usage data into actionable insights requires applying a structured analytics framework to identify patterns in funnels, engagement, and relationship signals. This approach outputs structured markdown reports containing metrics, examples, and recommended actions.

Do I need a canonical data model to analyze product funnels and engagement?▼

Yes, analyzing product funnels and engagement requires a canonical data model structured around messages, conversations, and enrichment. This underlying data structure is necessary to accurately reveal relationship signals and produce actionable recommendations.

How do I generate structured reports for product data analysis?▼

You generate structured markdown reports for product data analysis by running a workflow against a defined product question and time range. The resulting report includes specific metrics, real-world examples, and recommended actions based on usage patterns.

When should I use product analytics versus sql-reader for investigating reaction trends?▼

Use product analytics for reaction-trend investigations when you need to surface actionable recommendations from engagement patterns and relationship signals. Use sql-reader for direct database queries when raw data extraction is required without structured analytical frameworks.

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