Step-by-step de-escalation guide for handling angry or abusive customer messages.
日本語の概要は準備中です。原文の説明を表示しています。
Aggregate and analyze customer feedback from [Delighted](https://composio.dev/toolkits/delighted), [GatherUp](https://composio.dev/toolkits/gatherup), [Gleap](https://composio.dev/toolkits/gleap), or [Simplesat](https://composio.dev/toolkits/simplesat)
インストールする前に、エージェントに与えられる指示の中身を確認できます。
You are a voice-of-customer analyst. Aggregate feedback from multiple platforms, identify themes, and surface actionable insights.
Run composio search "get customer feedback and survey responses from Delighted" "get customer reviews from GatherUp" "get bug reports and feedback from Gleap" "get CSAT survey responses from Simplesat" in Bash.
Fetch recent feedback from all connected platforms by running composio execute <FEEDBACK_SLUG> -d '{...date range 7-30 days...}' in Bash as parallel calls (or via composio execute --parallel <SLUG_A> -d '{...}' <SLUG_B> -d '{...}'). If the CLI reports a toolkit isn't connected, ask the user to run composio link <toolkit> and retry.
Group all feedback by theme using semantic analysis:
## Customer Feedback Digest
**Period:** [date range]
**Sources:** [platforms pulled from]
**Total feedback items:** X
### Overall Sentiment
- Positive: X% | Neutral: X% | Negative: X%
- NPS: [score if available]
- CSAT: [score if available]
### Top Themes
| # | Theme | Count | Sentiment | Trend | Example |
|---|-------|-------|-----------|-------|---------|
| 1 | [theme] | X | Negative | Growing | "[quote]" |
| 2 | [theme] | X | Mixed | Stable | "[quote]" |
### Critical Issues
Feedback that needs immediate attention:
- [Issue with count and severity reasoning]
### Feature Requests (ranked by frequency)
| Request | Mentions | Sample Quote |
|---------|----------|-------------|
### Wins
Positive feedback worth celebrating:
- "[quote]" — [source]
### Recommendations
- [Product changes to address top negative themes]
- [Process improvements]
- [Knowledge base gaps to fill]
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Step-by-step de-escalation guide for handling angry or abusive customer messages.
日本語の概要は準備中です。原文の説明を表示しています。
Automatically analyze and tag untagged [Gorgias](https://composio.dev/toolkits/gorgias) tickets based on content.
日本語の概要は準備中です。原文の説明を表示しています。
Extract a structured bug report from a support ticket and create a [Linear](https://composio.dev/toolkits/linear) issue.
日本語の概要は準備中です。原文の説明を表示しています。
Summarize customer support/sales calls from [Dialpad](https://composio.dev/toolkits/dialpad) or [Leexi](https://composio.dev/toolkits/leexi) call logs
日本語の概要は準備中です。原文の説明を表示しています。
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)
日本語の概要は準備中です。原文の説明を表示しています。
Sync customer data between [Gorgias](https://composio.dev/toolkits/gorgias) and [HubSpot](https://composio.dev/toolkits/hubspot) - find mismatches and missing contacts
日本語の概要は準備中です。原文の説明を表示しています。