Send NPS/CSAT surveys and analyze results using [Delighted](https://composio.dev/toolkits/delighted) or [Satismeter](https://composio.dev/toolkits/satismeter)
Installs into .claude/skills of the current project.
Are you the author of Nps Collect?
Add the live security badge to your README. It updates with every re-scan.
[](https://www.skillsdirectory.com/skills/composio-community-nps-collect)
---
name: nps-collect
description: Send NPS/CSAT surveys and analyze results using [Delighted](https://composio.dev/toolkits/delighted) or [Satismeter](https://composio.dev/toolkits/satismeter)
disable-model-invocation: true
---
# 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]
```