Use case· 4 steps
How do I auto-categorize customer feedback by theme?
Pull this week's feedback from NPS, support tickets, and reviews. GPT clusters them into 5-10 themes with example quotes. Send the digest to the product team weekly.
How it works
Set up "GPT-categorize customer feedback" in 4 steps
- 1Schedule weeklyFriday 4pm: aggregate the week's feedback signal.
- 2Fetch from sourcesIntercom conversations tagged feedback + Zendesk satisfaction comments + NPS responses.
- 3AI cluster themesOpenAI: 'cluster into 5-10 themes with frequency + 2 example quotes each.'
- 4Send digestSlack to #product + Notion page in feedback database.
FAQ
Common questions about this recipe
How is this better than reading manually?
At scale (100+ items/week), manual reading misses patterns. AI clustering is 10x faster and surfaces emerging themes earlier.
