Pm Data Analytics
Plugin ActiveData analytics skills for PMs: SQL query generation and cohort analysis. Analyze user data, generate queries, and identify retention patterns.
To empower product managers with data analytics capabilities, enabling them to understand user behavior, analyze experiments, and generate data insights through SQL queries and cohort analysis.
Features
- Generate SQL queries from natural language
- Perform cohort retention and engagement analysis
- Analyze A/B test results with statistical rigor
- Provide recommendations for product decisions
- Handle various data input formats (CSV, screenshots, descriptions)
Use Cases
- Use when needing to write complex SQL queries without manual syntax
- Use when analyzing user retention and identifying churn patterns
- Use when evaluating the statistical significance of A/B test results
- Use when translating business questions into actionable data insights
Non-Goals
- Performing complex data cleaning beyond initial validation
- Real-time monitoring or dashboarding
- Advanced statistical modeling beyond A/B testing and cohort analysis
Trust
- warning:Issues AttentionThere are 8 open issues and 0 closed issues in the last 90 days, indicating a closure rate below 10% and potential slow maintainer response.
Installation
First, add the marketplace
/plugin marketplace add phuryn/pm-skills/plugin install pm-data-analytics@pm-skillsContains 3 extensions
Skill (3)
Analyze A/B test results with statistical significance, sample size validation, confidence intervals, and ship/extend/stop recommendations. Use when evaluating experiment results, checking if a test reached significance, interpreting split test data, or deciding whether to ship a variant.
Perform cohort analysis on user engagement data — retention curves, feature adoption trends, and segment-level insights. Use when analyzing user retention by cohort, studying feature adoption over time, investigating churn patterns, or identifying engagement trends.
Generate SQL queries from natural language descriptions. Supports BigQuery, PostgreSQL, MySQL, and other dialects. Reads database schemas from uploaded diagrams or documentation. Use when writing SQL, building data reports, exploring databases, or translating business questions into queries.
Quality Score
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