Can this skill help identify why users are churning?

Absolutely. It analyzes the correlation between activation rates and retention to help you form hypotheses about why users might be leaving the product.

How does the skill determine if a metric requires action?

The skill automatically flags any metric that is more than 10% off-target as requiring investigation and attempts to correlate the dip with other performance data.

What data do I need to provide for a product health analysis?

You should provide current metric values (even rough numbers), your targets or historical benchmarks, the specific period being analyzed, and the product area of focus.

Is the report output suitable for sharing with executives?

Yes, one of the core process steps is to write the summary in plain English without technical jargon, making it ideal for sharing with non-data stakeholders.

Product Health Analysis

Name: Product Health Analysis
Author: mohitagw15856

bymohitagw15856

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295

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分析与监控

Transforms raw product metrics into actionable health reports with RAG status, trend analysis, and root cause hypotheses.

The Product Health Analysis skill empowers product managers and teams to interpret complex metrics across the user journey—from acquisition to retention. By evaluating performance against OKRs and historical benchmarks, it identifies critical trends and correlates data points to uncover the 'why' behind the numbers. It simplifies stakeholder communication by generating structured, plain-English reports that include prioritized diagnostic steps and clear health indicators, ensuring that data-driven insights lead directly to informed product decisions.

主要功能

01Plain-English executive summaries designed for non-technical stakeholders

02Comprehensive analysis across Acquisition, Activation, Engagement, and Retention (AARRR)

03Correlation mapping to identify how activation drops impact long-term retention

04Prioritized action plans with root cause hypotheses and diagnostic steps

05Automated RAG status flagging for metrics deviating more than 10% from targets

06295 GitHub stars

使用场景

01Conducting weekly or monthly product performance reviews for leadership

02Investigating the root cause of sudden drops in user engagement or feature adoption

03Evaluating product-market fit signals for newly launched features or segments

主要功能

01Plain-English executive summaries designed for non-technical stakeholders

02Comprehensive analysis across Acquisition, Activation, Engagement, and Retention (AARRR)

03Correlation mapping to identify how activation drops impact long-term retention

04Prioritized action plans with root cause hypotheses and diagnostic steps

05Automated RAG status flagging for metrics deviating more than 10% from targets

06295 GitHub stars

使用场景

01Conducting weekly or monthly product performance reviews for leadership

02Investigating the root cause of sudden drops in user engagement or feature adoption

03Evaluating product-market fit signals for newly launched features or segments