multiAI Summary Pending
Employee Retention & Turnover Risk Analyzer
Diagnose why people leave. Fix it before they do.
3,556 stars
byopenclaw
Installation
Claude Code / Cursor / Codex
$curl -o ~/.claude/skills/afrexai-employee-retention/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/1kalin/afrexai-employee-retention/SKILL.md"
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/afrexai-employee-retention/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How Employee Retention & Turnover Risk Analyzer Compares
| Feature / Agent | Employee Retention & Turnover Risk Analyzer | Standard Approach |
|---|---|---|
| Platform Support | multi | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Diagnose why people leave. Fix it before they do.
Which AI agents support this skill?
This skill is compatible with multi.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Employee Retention & Turnover Risk Analyzer Diagnose why people leave. Fix it before they do. ## What This Does Runs a structured retention risk assessment across 8 dimensions, scores each 0-100, identifies flight-risk employees and departments, calculates replacement costs, and generates a 90-day action plan. ## 8 Retention Dimensions 1. **Compensation Competitiveness** — market benchmarking, pay equity, total comp analysis 2. **Career Progression** — promotion velocity, skill development, internal mobility 3. **Manager Quality** — span of control, 1:1 frequency, team tenure under each manager 4. **Workload Balance** — overtime patterns, PTO usage, burnout indicators 5. **Culture & Belonging** — eNPS trends, DEI metrics, team cohesion signals 6. **Recognition & Feedback** — frequency, quality, peer-to-peer vs top-down 7. **Flexibility & Autonomy** — remote policy, schedule control, decision authority 8. **Onboarding & Early Tenure** — 90-day attrition, ramp time, buddy program effectiveness ## How to Use Give the agent your team data (headcount, tenure distribution, recent departures, eNPS scores, comp bands) and it will: 1. Score each dimension 0-100 2. Flag dimensions below 60 as critical 3. Calculate cost-of-turnover by role level: - Entry level: 50-60% of salary - Mid level: 75-100% of salary - Senior/specialist: 100-150% of salary - Executive: 200-400% of salary 4. Identify top 3 retention levers (highest ROI interventions) 5. Generate 90-day retention action plan with owner assignments ## Replacement Cost Formula ``` Replacement Cost = (Recruiting fees + Lost productivity + Training + Ramp time) × Role multiplier Quick estimate: - $65K role → $39K-$65K replacement cost - $120K role → $90K-$180K replacement cost - $200K role → $200K-$800K replacement cost ``` ## 2026 Retention Benchmarks | Metric | Good | Average | Poor | |--------|------|---------|------| | Annual voluntary turnover | <10% | 10-18% | >18% | | 90-day new hire attrition | <5% | 5-12% | >12% | | eNPS | >40 | 10-40 | <10 | | Avg tenure | >3yr | 1.5-3yr | <1.5yr | | Internal mobility rate | >15% | 8-15% | <8% | | Manager quality score | >80 | 60-80 | <60 | ## Industry Turnover Rates (2026) | Industry | Avg Voluntary Turnover | Top Quartile | |----------|----------------------|--------------| | Tech/SaaS | 13.2% | 8.1% | | Financial Services | 12.8% | 7.4% | | Healthcare | 19.5% | 11.2% | | Retail/Ecommerce | 24.1% | 14.8% | | Manufacturing | 14.7% | 9.3% | | Professional Services | 16.3% | 10.1% | | Construction | 21.4% | 13.6% | | Legal | 11.9% | 7.2% | | Real Estate | 15.8% | 9.7% | | Recruitment/Staffing | 28.3% | 16.9% | ## AI Impact on Retention (2026 Factors) New retention risks specific to the AI transition: - **Role anxiety**: 34% of employees report fear of AI replacement (Gallup 2025) - **Skills obsolescence**: Roles with >60% automatable tasks see 2.3x higher attrition - **AI tool fatigue**: Teams forced to adopt >3 new AI tools in 6 months show 40% higher burnout - **Upskilling gap**: Companies investing <2% of payroll in AI training lose senior talent 1.8x faster Retention plays that work in 2026: - AI upskilling budgets ($2K-$5K/employee/year) - Role redesign workshops (quarterly, collaborative not top-down) - "AI productivity dividends" — share efficiency gains as comp/time off - Internal AI project rotations ## Red Flags Dashboard Watch for these combinations: - eNPS dropping + PTO usage declining = burnout spiral - Senior departures clustering in one team = manager problem - Glassdoor sentiment shift + job posting views up = flight risk wave - Promotion rate <5% + tenure >2yr cohort growing = stagnation crisis ## Output Format ``` RETENTION RISK ASSESSMENT ======================== Overall Score: [X]/100 Risk Level: [LOW/MODERATE/HIGH/CRITICAL] DIMENSION SCORES: [Dimension]: [Score]/100 — [Status emoji] [One-line finding] TOP 3 RISKS: 1. [Risk] — Est. cost if unaddressed: $[X]/year 2. [Risk] — Est. cost if unaddressed: $[X]/year 3. [Risk] — Est. cost if unaddressed: $[X]/year RECOMMENDED ACTIONS (90-day): Week 1-2: [Quick wins] Week 3-6: [Structural changes] Week 7-12: [Culture/process shifts] TOTAL ESTIMATED SAVINGS: $[X]/year from reduced turnover ``` ## Get the Full Workforce AI Toolkit This skill covers retention diagnostics. For the complete workforce transformation stack — AI readiness assessment, role redesign, hiring optimization, and productivity benchmarking: - **SaaS Context Pack**: https://afrexai-cto.github.io/context-packs/ ($47) - **AI Revenue Calculator**: https://afrexai-cto.github.io/ai-revenue-calculator/ - **Agent Setup Wizard**: https://afrexai-cto.github.io/agent-setup/ - **Pick 3 Bundle**: https://buy.stripe.com/... ($97) - **All 10 Packs**: https://buy.stripe.com/... ($197) Built by AfrexAI — turning AI into revenue since 2025.