feature-adoption-analysis
CommunityMeasure and improve feature adoption across your product
Product & Management#product strategy#user engagement#product analytics#feature adoption#adoption funnel
Authorabhishekchoudhari
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps you measure and improve feature adoption within your product, ensuring that users are engaging with and deriving value from the features you build.
Core Features & Use Cases
- Adoption Dimensions: Analyze adoption across breadth, depth, and frequency.
- Adoption Benchmarks: Compare your feature's adoption against industry benchmarks.
- Adoption Funnel: Diagnose where users are dropping off in the adoption process.
- Aha Moment: Identify the specific action that converts users into habitual users.
- Adoption Diagnostics: Match symptoms to root causes and recommend actions.
- Segment Adoption Analysis: Understand how different user segments adopt features.
- Feature Retirement Signal: Identify when to consider retiring a feature.
- Adoption Improvement Playbook: Provides tactics to improve adoption at each stage of the funnel.
Quick Start
Analyze the adoption of the 'new_feature' by running the command 'analyze-adoption new_feature'.
Dependency Matrix
Required Modules
pandasnumpymatplotlib
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: feature-adoption-analysis Download link: https://github.com/abhishekchoudhari/pm-superic-skills/archive/main.zip#feature-adoption-analysis Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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