Employee Retention & Turnover Risk Analyzer
Diagnose why people leave. Fix it before they do.
About this skill
The Employee Retention & Turnover Risk Analyzer is an AI agent skill designed to help organizations proactively address and mitigate employee turnover. It conducts a comprehensive analysis across 8 critical dimensions, including Compensation Competitiveness, Career Progression, Manager Quality, Workload Balance, Culture & Belonging, Recognition & Feedback, Flexibility & Autonomy, and Onboarding & Early Tenure. Each dimension is scored from 0-100, identifying areas of strength and critical weakness. By leveraging provided team data such as headcount, tenure distribution, recent departures, eNPS scores, and compensation bands, the skill quantifies the financial impact of turnover by calculating replacement costs across different role levels (entry, mid, senior, executive). It moves beyond anecdotal insights to provide data-driven conclusions, helping HR professionals and business leaders understand the root causes of attrition. The ultimate output is a prioritized, actionable 90-day retention plan. This plan includes owner assignments and highlights the top three retention levers – interventions identified as having the highest return on investment – enabling organizations to implement targeted strategies to improve employee satisfaction and loyalty.
Best use case
The primary use case is to proactively identify, analyze, and mitigate employee turnover risks within an organization. HR professionals, business leaders, and talent management teams benefit most by gaining clear insights into why employees might leave, quantifying the financial impact of attrition, and receiving a concrete action plan to improve retention and foster a more stable workforce.
Diagnose why people leave. Fix it before they do.
Users should expect a detailed report scoring 8 retention dimensions, identifying flight-risk areas and employees, quantifying turnover costs, and a prioritized 90-day action plan with owner assignments.
Practical example
Example input
Analyze our Q3 employee retention trends. Here's our data: headcount=250, average tenure=3.5 years, 15 voluntary departures in Q3, eNPS=35, and attached are our current compensation bands. Please identify critical areas and generate a 90-day action plan.
Example output
**Retention Risk Assessment Summary:** Manager Quality: 55 (Critical!), Workload Balance: 62, Compensation Competitiveness: 70. **Top 3 Levers:** 1. Manager Training (ROI 4.5x), 2. Overtime Policy Review (ROI 3.2x), 3. Internal Mobility Program (ROI 2.8x). **Estimated Annual Turnover Cost:** $1.2M. **90-Day Action Plan:** 1. Launch mandatory manager training on 1:1s (Owner: HR Lead), 2. Implement new overtime approval process (Owner: Operations Manager), 3. Pilot internal mentorship program (Owner: Talent Development).
When to use this skill
- When experiencing high or increasing employee turnover rates.
- When needing to understand the root causes of employee dissatisfaction or flight risk.
- When planning HR initiatives to improve employee retention and engagement.
- When quantifying the financial impact of employee departures to justify retention investments.
When not to use this skill
- When you lack access to comprehensive and accurate team HR data (headcount, tenure, eNPS, compensation, etc.).
- When seeking highly personalized individual employee counseling or psychological assessments.
- When the focus is solely on legal compliance aspects of employment rather than strategic retention.
- When a quick, informal check-up is sufficient without requiring deep data analysis and a structured plan.
Installation
Claude Code / Cursor / Codex
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 | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | easy | N/A |
Frequently Asked Questions
What does this skill do?
Diagnose why people leave. Fix it before they do.
How difficult is it to install?
The installation complexity is rated as easy. You can find the installation instructions above.
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.
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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.
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