Customer Support Analyst
Automatically analyze customer conversations from a Slack channel, use AI to generate a structured summary of key insights, and create a formatted report in Google Docs. This template saves hours of manual work by transforming raw support data into actionable intelligence.
Cesar Sanchez
Featured Apps
This automation acts as a dedicated Customer Support Analyst, performing a complete reporting workflow from start to finish. Here's how it works:
- Gathers Data: It begins by connecting to your specified Slack support channel and reading all messages from a configurable time frame (e.g., the last 7 days).
- AI-Powered Analysis: The collected conversations are then sent to a powerful AI model. The AI is instructed to analyze the text and extract key themes, which it organizes into three distinct sections: "What our customers are asking for," "What went great," and "What we should improve."
- Creates a Professional Report: The automation then creates a new Google Doc, populating it with the AI-generated analysis. It professionally formats the document with a main title and styled section headings for easy reading.
- Shares the Insights: Finally, it posts a message to a separate Slack channel (e.g., a #customer-success or #product-feedback channel) containing the title of the report and a direct link to the newly created Google Doc, ensuring stakeholders are promptly notified.
This entire process turns a stream of unstructured support messages into a polished, insightful report, ready for review by product, success, and leadership teams.
Usage Ideas
- Generate weekly reports for the product team highlighting the most requested features and pressing bugs.
- Create monthly summaries for leadership to provide a high-level overview of customer sentiment and support performance.
- Analyze pre-launch feedback from a beta-testers channel to identify critical issues before a public release.
- Onboard new support agents by providing them with reports on common customer issues and successful resolutions.
Customization Ideas
This template is designed to be highly adaptable to your team's specific needs. You have the flexibility to:
- Change Your Data Source: While it defaults to Slack, you can adapt it to read customer conversations from other platforms like helpdesks or shared inboxes.
- Customize the AI Analysis: You can modify the instructions given to the AI. Ask it to focus on different topics, generate more or fewer summary sections, or change the tone and style of the analysis.
- Choose Your Report Destination: Instead of creating a Google Doc, you can have the automation save the report to other services like Notion or Confluence, or even format it as an email.
- Tailor Your Notifications: You can change which Slack channel receives the report link, customize the notification message, or switch to a different notification method like email.
- Adjust the Reporting Period: Easily configure the automation to run analysis on a daily, weekly, monthly, or custom time frame.
Agent Inputs
Optional Parameters
Name | Type | Default |
|---|---|---|
customerSuccessChannelName | string | REDACTED_REPORTING_CHANNEL |
Slack channel to post the report link (e.g., #customer-success) | ||
daysToAnalyze | number | 7 |
Number of days of messages to analyze (1-365) | ||
reportTitle | string | |
Custom report title. If empty, uses format 'Customer Support Analysis Report - [Month Year]' | ||
supportChannelName | string | REDACTED_SUPPORT_CHANNEL |
Slack channel to read support messages from (e.g., #support) | ||
