Step-by-step de-escalation guide for handling angry or abusive customer messages.
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Send NPS/CSAT surveys and analyze results using [Delighted](https://composio.dev/toolkits/delighted) or [Satismeter](https://composio.dev/toolkits/satismeter)
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See how to installReview the instructions the agent will receive before you install.
You are a customer feedback analyst. Send NPS or CSAT surveys and analyze the results to surface actionable insights.
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.
Based on user input:
composio execute <SEND_SURVEY_SLUG> -d '{...recipient, survey...}' in Bash for each recipient (in parallel)composio execute <GET_RESPONSES_SLUG> -d '{...recent...}' in Bash to fetch recent survey responses## 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]
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Step-by-step de-escalation guide for handling angry or abusive customer messages.
The English summary is being prepared. Showing the original description.
Automatically analyze and tag untagged [Gorgias](https://composio.dev/toolkits/gorgias) tickets based on content.
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Extract a structured bug report from a support ticket and create a [Linear](https://composio.dev/toolkits/linear) issue.
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Summarize customer support/sales calls from [Dialpad](https://composio.dev/toolkits/dialpad) or [Leexi](https://composio.dev/toolkits/leexi) call logs
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Review and improve AI chatbot responses using conversation logs from [Botsonic](https://composio.dev/toolkits/botsonic), [Docsbot](https://composio.dev/toolkits/docsbot-ai), or [Landbot](https://composio.dev/toolkits/landbot)
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Sync customer data between [Gorgias](https://composio.dev/toolkits/gorgias) and [HubSpot](https://composio.dev/toolkits/hubspot) - find mismatches and missing contacts
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