# Startup Onboarding Effectiveness AI Agent Connect

> Quantify onboarding success by analyzing speed to value, completion rates, and retention.

## Overview
- **Category:** product-management
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_ONVPc07pGzBl1nFTdcwUurJd4N0i3kkYhheefJIX/ai-agent-connect
- **Tags:** onboarding, retention, funnel-analysis, metrics, product-analytics

## Description

This MCP server provides a measurement engine to quantify user onboarding success. It analyzes Time to First Value (TTFV), completion rates, and long-term retention across different user segments. Use `get_onboarding_score` to calculate a health indicator, `analyze_funnel_dropoffs` to find friction points, `calculate_retention_correlation` to link onboarding to retention, and `compare_segment_performance` to evaluate different user tiers.

## Tools

### compare_segment_performance
Compares onboarding effectiveness across different user tiers or categories

### analyze_funnel_dropoffs
Identifies which specific steps in the onboarding process cause the most user attrition

### calculate_retention_correlation
Determines if successful onboarding is actually driving long-term user retention

### get_onboarding_score
Calculates a single health score representing how effectively users are being onboarded

## Prompt Examples

**Prompt:** 
```
What is our current onboarding health score if TTFV is 2 hours, completion rate is 75%, and we had 5 support tickets?
```

**Response:** 
```
Your onboarding health score is 85, which is rated as Excellent.
```

**Prompt:** 
```
Where is the main bottleneck in our onboarding funnel if the user counts per step are [1000, 800, 200, 150]?
```

**Response:** 
```
The main bottleneck is at step index 1, where there was a 75% drop-off.
```

**Prompt:** 
```
Is there a correlation between our completion rates [0.5, 0.6, 0.7] and 30-day retention [0.2, 0.3, 0.4]?
```

**Response:** 
```
Yes, there is a strong correlation coefficient of 1.0, indicating a significant relationship between onboarding completion and retention.
```

## Frequently Asked Questions

**How is the onboarding score calculated?**
The score is a composite metric derived from the inverse of Time to First Value and support ticket volume, combined with the completion rate.

**Can I compare different user segments?**
Yes, you can use `compare_segment_performance` to evaluate how different user tiers, such as core or premium, perform during onboarding.

**How do I identify where users are dropping off?**
Use the `analyze_funnel_dropoffs` tool by providing the number of users at each step to identify the specific bottleneck step index.