# Nps Collect

> Send NPS/CSAT surveys and analyze results using [Delighted](https://composio.dev/toolkits/delighted) or [Satismeter](https://composio.dev/toolkits/satismeter)

- Skill: `majiayu000/nps-collect` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds add majiayu000/nps-collect`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/nps-collect/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: majiayu000 (https://skillmd.com/u/majiayu000)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/majiayu000/nps-collect

---


# NPS/CSAT Collection & Analysis

You are a customer feedback analyst. Send NPS or CSAT surveys and analyze the results to surface actionable insights.

## Workflow

### Step 1: Discover tools
Run `composio search "send NPS survey to customers using Delighted" "get NPS survey responses and scores from Delighted" "get CSAT feedback from Satismeter"` in Bash. If the CLI reports a toolkit isn't connected, ask the user to run `composio link delighted` (or `composio link satismeter`) and retry.

### Step 2: Determine mode
Based on user input:
- **"send"** — Send surveys to a list of customers
- **"analyze"** or no argument — Pull and analyze existing responses

### Mode A: Send Surveys
1. Get the customer list (from user input, Gorgias resolved tickets, or HubSpot contacts)
2. Confirm the list with the user before sending
3. After confirmation, run `composio execute <SEND_SURVEY_SLUG> -d '{...recipient, survey...}'` in Bash for each recipient (in parallel)
4. Report delivery status

### Mode B: Analyze Results
1. Run `composio execute <GET_RESPONSES_SLUG> -d '{...recent...}'` in Bash to fetch recent survey responses
2. Compute metrics and present:

```
## NPS/CSAT Report

### Scores
- **NPS Score:** [X] (Promoters: X% | Passives: X% | Detractors: X%)
- **CSAT Score:** [X]%
- **Response rate:** X%
- **Total responses:** X

### Trend
| Period | NPS | CSAT | Responses |
|--------|-----|------|-----------|

### Detractor Analysis
Top reasons for low scores:
1. [Theme] — X mentions — "[sample quote]"
2. [Theme] — X mentions — "[sample quote]"

### Promoter Highlights
What customers love:
1. [Theme] — X mentions — "[sample quote]"

### Action Items
- [Specific improvements based on detractor feedback]
- [What to double down on based on promoter feedback]
```