mcpField
R
retention-drop-diagnoser

retention-drop-diagnoser

github.com/pratikshadakeMarketing & growth3366 installsUpdated 36w ago
Repository

About retention-drop-diagnoser

retention-drop-diagnoser is a skill for analyzing declining user retention. It organizes patterns, likely causes, supporting evidence, and experiments to address the drop.

Key features

  1. 01Identify retention patterns
  2. 02Analyze likely causes
  3. 03Organize supporting evidence
  4. 04Propose corrective experiments

Use cases

  1. 01Investigate a retention decline
  2. 02Review evidence for possible causes
  3. 03Plan experiments to improve retention

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/pratikshadake/claude-product-management-skills --skill retention-drop-diagnoser

After installing, type/retention-drop-diagnoserin Claude Code to confirm it loaded.

Bundled filesreferences/example.md

Details

From the project README

Retention Drop Diagnoser

Purpose

Identify root causes behind declining user retention.

Output

Retention Pattern
Likely Causes
Supporting Evidence
Fix Experiments

References

See worked example for a complete scenario.

Comments

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