Build a Customer Feedback Analysis Engine
Turn scattered customer feedback into tracked, actionable themes in about an hour a month.
Time Required
1 hour per month
Expected Result
A running trend log of customer sentiment and themes pulled automatically from every review and survey response.
Recommended Tools
Aggregate Reviews, Feedback, and Survey Responses
Collect all customer feedback from reviews, support tickets, and surveys into one place before analysis begins.
Categorize Sentiment and Themes
Run the collected feedback through ChatGPT to tag each item by sentiment and recurring theme.
Extract Actionable Insights
Ask Claude to turn the categorized feedback into a short list of concrete actions worth prioritizing.
Track Trends Over Time
Log each month's themes and sentiment scores in Airtable AI so you can see whether things are improving or slipping.
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