exit-analysis
Analyze exit interview data and identify retention insights and patterns
npx skills add a5c-ai/babysitter --skill exit-analysis --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Exit Interview Analysis Skill ## Overview The Exit Interview Analysis skill provides capabilities for analyzing exit interview data to identify retention insights, patterns, and actionable improvements. This skill enables systematic exit data collection, theme analysis, and retention strategy recommendations. ## Capabilities ### Interview Design - Create exit interview question templates - Design survey instruments - Configure voluntary vs. involuntary paths - Include skip logic and branching - Support multiple collection methods ### Theme Analysis - Analyze exit data for themes and patterns - Apply NLP to open-ended responses - Cluster related feedback - Identify emerging issues - Track theme prevalence ### Turnover Analysis - Calculate voluntary turnover drivers - Segment analysis by demographics - Identify high-risk populations - Compare regrettable vs. non-regrettable - Track trends over time ### Departmental Reporting - Generate department-level exit reports - Compare managers and teams - Identify outlier departments - Create benchmark comparisons - Support manager feedback ### Issue Identification - Identify management and culture issues - Detect compensation concerns - Sur
- Overview
- Capabilities
- Interview Design
- Theme Analysis
- Turnover Analysis
- Departmental Reporting
- Issue Identification
- Recommendations
- Usage
- Exit Survey Template
- Analysis Configuration
- Process Integration
- Best Practices
- Metrics and KPIs
What does the exit-analysis skill do?
Analyze exit interview data and identify retention insights and patterns
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill exit-analysis --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.