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How to Use an Internal AI Tool to Analyze Customer Feedback

Leverage a custom AI agent to pull data from multiple sources like Slack, Zendesk, and call transcripts, then use targeted prompts to perform thematic analysis and drill down into specific customer insights.

From How I AI

How I AI: Amplitude's Viral Internal AI Tool for Product Development

with Claire Vo

How to Use an Internal AI Tool to Analyze Customer Feedback
02Step-by-Step Guide
1

Aggregate Broad Data Inputs

Configure your AI tool to pull in customer feedback from all relevant sources, such as Slack channels, Zendesk tickets, Product Board entries, and transcriptions of customer calls.

2

Perform Initial Thematic Analysis

Use a broad prompt to ask your AI agent to identify the top themes and questions from the aggregated customer feedback dataset.

Prompt:
Analyze recent customer feedback from Slack, Zendesk, and call transcripts to identify top themes and inquiries.
3

Drill Down into Specific Themes

Once you have the high-level themes, use a more specific follow-up prompt to get details on a particular area of interest.

Prompt:
Give me more details on customer requests for connecting session replay to funnel analysis.
4

Extract Actionable Insights and Quotes

Review the output from the AI, which should provide not just summaries but also direct quotes and context from the original feedback, ensuring the analysis is grounded in real user comments.

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