# Startup Employee Retention Analytics AI Agent Connect

> Analyze workforce stability, turnover trends, and equity-driven churn risk.

## Overview
- **Category:** human-resources
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_TLtGGDPi6SLIP7bbqcuumQbYPyidQms1ARkJ8hQC/ai-agent-connect
- **Tags:** retention, turnover, startup, workforce, equity

## Description

This MCP server provides specialized analytics for startup workforce management. It connects AI agents to core stability metrics, allowing for deep analysis of employee lifecycle patterns. Use `calculate_retention_metrics` to determine core health indicators like retention and turnover rates. Evaluate lifecycle churn concentration with `analyze_tenure_distribution`, or predict upcoming turnover spikes using `estimate_equity_risk` by analyzing proximity to vesting milestones. Finally, generate high-level assessments with `get_workforce_stability_report` to understand how market conditions impact your stability score.

## Tools

### calculate_retention_metrics
Provides the core health indicators of the workforce for a given period

### analyze_tenure_distribution
Evaluates where in the employee lifecycle churn is most concentrated

### estimate_equity_risk
Predicts potential upcoming turnover based on the proximity of employees to their vesting milestones

### get_workforce_stability_report
Synthesizes metrics, tenure, and market factors into a high-level stability assessment

## Prompt Examples

**Prompt:** 
```
Calculate our retention metrics. We started with 50 employees, 5 left (2 voluntary, 3 involuntary), and we hired 10 new people.
```

**Response:** 
```
Your retention rate is 90%, your turnover rate is 10%, and your net headcount change is +5.
```

**Prompt:** 
```
Analyze our tenure distribution. Our current employees have been with us for 12, 24, 36, and 48 months.
```

**Response:** 
```
The average tenure is 30 months, and the cohort health is stable.
```

**Prompt:** 
```
What is our equity risk? Current tenures are 11, 23, and 35 months. Vesting happens every 12 months and the market volatility index is 0.5.
```

**Response:** 
```
The risk level is high with a predicted churn probability of 0.75.
```

## Frequently Asked Questions

**How does this tool calculate retention rate?**
The `calculate_retention_metrics` tool calculates the retention rate as the percentage of the starting headcount that remained at the end of the period.

**Can I predict turnover based on equity vesting?**
Yes, the `estimate_equity_risk` tool predicts potential turnover by analyzing how close employees are to their vesting milestones and factoring in market volatility.

**What is included in the stability report?**
The `get_workforce_stability_report` tool synthesizes retention rates, turnover rates, and current market conditions into a single stability score and summary.