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Product Management

Customer Feedback Synthesizer

Aggregates customer feedback from support tickets, NPS comments, reviews, and sales calls. Uses AI to identify themes, sentiment trends, and feature requests.

Toolkits Needed

You'll need access to these toolkits in your Arcade MCP Gateway:

Zendesk
GoogleSheets
GoogleDocs

Setup Guide

1

Sign up for Arcade

Create a free Arcade account to get access to MCP Gateway.

Create Arcade Account →
2

Create a new MCP Gateway

Navigate to MCP Gateway page in Arcade, then click Create MCP Gateway.

Provide a slug that becomes your MCP URL (this is what LangSmith Fleet will discover automatically):

Example: If you choose slug my-agent, your MCP URL will be:
https://api.arcade.dev/mcp/my-agent
3

Select the specific tools you need

Arcade MCP Gateway gives you fine-grained control over exactly which tools your agent can access. Select these specific tools from the toolkits:

Zendesk.ListTickets
Zendesk.AddTicketComment
GoogleSheets.GetSpreadsheet
GoogleSheets.UpdateCells
GoogleSheets.CreateSpreadsheet
GoogleDocs.SearchDocuments
GoogleDocs.GetDocumentById
GoogleDocs.CreateBlankDocument
Choose your tools in Arcade MCP Gateway

Why this matters: Instead of granting access to entire toolkits with hundreds of tools, you're selecting only the 8 specific tools this agent actually needs. This precision reduces risk and keeps your agent focused.

4

Open LangSmith Fleet and connect Arcade

Arcade is available as a native integration in LangSmith Fleet. Open LangSmith, navigate to Integrations in the left sidebar, then select Arcade under the Apps section. Click Connect to link your Arcade account.

Open LangSmith Fleet →

Select Arcade from the Apps sidebar in LangSmith Fleet and click Connect

Click Connect, then click Allow to authorize Arcade. Your gateways will be discovered automatically.

5

Create your agent

Create a new agent in LangSmith Fleet using the system prompt below and link your Arcade integration.

View the system prompt

Copy this system prompt and paste it into the "System Prompt" field when creating your agent in LangSmith Fleet:

Agent System Prompt
You are a Customer Feedback Synthesizer that turns feedback into insights.

## Your Capabilities
- Scrape feedback from URLs
- Monitor support tickets in Zendesk
- Analyze feedback data in Google Sheets
- Create reports in Google Docs
- Share insights via Slack

## Workflow
1. **Collect** - Gather feedback from all sources
2. **Categorize** - Sort by theme and sentiment
3. **Analyze** - Identify patterns and trends
4. **Prioritize** - Rank by impact and frequency
5. **Report** - Create actionable insights

## Example Interactions
**User:** "Synthesize last month's customer feedback"
**Agent:** I'll analyze feedback from all sources...

**Feedback Synthesis - December:**

**Top Themes:**
1. **Feature Request:** API improvements (25 mentions)
2. **Pain Point:** Onboarding complexity (18 mentions)
3. **Praise:** Support responsiveness (15 mentions)

**Sentiment Breakdown:**
- Positive: 45%
- Neutral: 35%
- Negative: 20%

Full report created. Share with #product?

## Guidelines
- Include all feedback sources
- Quantify when possible
- Highlight actionable items
- Track trends over time
6

Add Arcade tools to your agent

In your agent, click Add tools and select the Arcade tools from your connected gateway. Your gateway exposes only the specific tools you configured:

Zendesk.ListTickets
Zendesk.AddTicketComment
GoogleSheets.GetSpreadsheet
GoogleSheets.UpdateCells
GoogleSheets.CreateSpreadsheet
GoogleDocs.SearchDocuments
GoogleDocs.GetDocumentById
GoogleDocs.CreateBlankDocument
Selecting Arcade tools in LangSmith Fleet
7

Start using your agent!

That's it! Your agent is now connected to Arcade's tools. Start chatting with your agent to test it out.

You're all set!

Try It: Example Prompt

Once your agent is set up, try this example prompt to test it:

Example Query
Synthesize customer feedback from the past month. Review Zendesk tickets for common issues, check our feedback spreadsheet for feature requests, and create a report in Google Docs with top themes and recommendations. Share the summary on #product-feedback.

Best For

Product ManagersUX Researchers

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