# Startup NPS Analysis Engine AI Agent Connect

> A specialized analytical engine for evaluating Net Promoter Score (NPS) health, statistical reliability, and segment performance.

## Overview
- **Category:** business-intelligence
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_gSs6kx170xKz6LbMkJmAW1fNWoAsRPiHP9xL2HzC/ai-agent-connect
- **Tags:** nps, customer-loyalty, statistics, survey-analysis, business-metrics

## Description

This MCP server provides a suite of analytical tools to evaluate customer loyalty through Net Promoter Score (NPS) methodology. It allows AI agents to perform core NPS calculations using `calculate_nps_core`, assess the statistical significance of results with `validate_statistical_reliability`, compare performance across user groups via `analyze_segment_performance`, and evaluate survey validity through `evaluate_survey_health`.

## Tools

### analyze_segment_performance
Each object must contain segmentName, promoterPercentage, passivePercentage, and detractorPercentage.

Compares NPS metrics across different user segments

### calculate_nps_core
They must sum to 100.

Calculates the primary NPS metric from raw percentage distributions

### evaluate_survey_health
Assesses the impact of response rates and potential bias on the validity of the results

### validate_statistical_reliability
Determines if the current NPS score is statistically significant based on sample size

## Prompt Examples

**Prompt:** 
```
Calculate the NPS score for 60% promoters, 30% passives, and 10% detractors.
```

**Response:** 
```
The NPS score is 50, which is categorized as Positive.
```

**Prompt:** 
```
Is an NPS score of 45 statistically significant with 500 responses out of a population of 1000?
```

**Response:** 
```
Yes, the result is statistically significant with a margin of error that maintains the sentiment category.
```

**Prompt:** 
```
Assess the survey health for 100 responses out of 1000 invited, with 15% detractors.
```

**Response:** 
```
The response rate is 10%, and the bias risk is High due to the low response rate.
```

## Frequently Asked Questions

**How is the NPS score calculated?**
The score is calculated by subtracting the percentage of Detractors from the percentage of Promoters.

**Can I check if my survey results are statistically significant?**
Yes, you can use the `validate_statistical_reliability` tool to determine if your sample size provides enough confidence in the results.

**How does the engine handle different user segments?**
The `analyze_segment_performance` tool allows you to compare NPS metrics across various groups like Enterprise or SMB to find friction points.