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data-analyse

Translate business questions into measurable metrics and structured analysis plans.

3|2|Updated Dec 26, 2025
Search Tags:#metrics#insights#analyze#experiments#north-star#cohort#funnel
One-click install
npx skills add https://github.com/muzhicaomingwang/ai-ideas --skill data-analyse
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data-analyse
Source: https://github.com/muzhicaomingwang/ai-ideas/tree/main/.project/ai/pm/skills/data-analyse
Command: npx skills add https://github.com/muzhicaomingwang/ai-ideas --skill data-analyse

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

PM perspective data analysis: turn ambiguous growth questions into quantifiable metrics and executable actions.

Core Features & Use Cases

  • Define North Star metric and supporting metrics to guide product decisions.
  • Design event taxonomy and funnel/cohort definitions for reliable analytics.
  • Develop analysis plans and actionable memos translating insights into product actions.
  • Outline experiment plans and dashboard requirements to inform execution.

Quick Start

Create a metric tree for a new feature to identify activation drop-offs and outline a plan to improve retention.

Frequently Asked Questions about data-analyse

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

FAQPage Schema
How do I translate ambiguous growth questions into quantifiable metrics for product analysis?▼

To translate growth questions into metrics, define a North Star metric and supporting metrics to guide product decisions. This structures ambiguous questions into quantifiable measurements and executable actions.

What is the best way to define event taxonomy and funnel analysis for web and mobile products?▼

Defining event taxonomy and funnels requires structuring reliable analytics for web and mobile products. This approach enforces consistent event tracking and funnel definitions to identify activation drop-offs accurately.

How do I create an analysis plan to identify activation drop-offs and improve user retention?▼

To create an analysis plan for activation drop-offs, build a metric tree for new features. This outlines structured analysis methods and actionable memos to improve retention effectively.

Can I use cohort analysis to evaluate experiment plans and dashboard requirements?▼

Yes, cohort analysis evaluates experiment plans and dashboard requirements by applying structured analysis methods. This translates insights into product actions and informs execution with guardrails.

Do I need a North Star metric to outline actionable product decision memos?▼

Yes, a North Star metric is enforced to outline actionable product decision memos. Defining it ensures that analysis plans and recommendations align with core product goals and guardrails.

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