Automation guide
How to Automate Customer Feedback Analysis with ChatGPT / GPT-4o (OpenAI)
Aggregate NPS responses, support tickets, and reviews, extract themes, and surface product insights weekly.
The problem
Product teams have feedback scattered across Intercom, G2, AppStore, NPS surveys, and support tickets. Nobody synthesises it regularly.
The outcome
Weekly digest of top themes, sentiment trends, and specific customer quotes delivered automatically to product team Slack.
The tool
OpenAI's GPT-4o is the most widely deployed LLM.
How it works — step by step
- 1Scheduled trigger collects feedback from all sources
- 2AI clusters by theme and scores sentiment
- 3Top 5 themes this week identified with supporting quotes
- 4Digest posted to Slack with links to source conversations
About ChatGPT / GPT-4o (OpenAI)
OpenAI's GPT-4o is the most widely deployed LLM. Excellent function calling, vision, and broad general capability.
Strengths
- ✓Function calling
- ✓Vision / multimodal
- ✓Broad ecosystem
- ✓Structured outputs
Pricing
Per token — gpt-4o: $2.50/$10 per 1M tokens in/out
When this makes sense
Customer Feedback Analysis automation with ChatGPT works best when your team handles this workflow multiple times per week, inputs are consistent enough for pattern matching, and human review of exceptions is part of the process. It is less effective when every instance requires unique judgment or when regulatory requirements mandate human sign-off on every step.
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Want this in production?
Altor builds customer feedback analysis automation for US B2B companies.
We connect to your live systems, ship to production in 3 weeks, and stay until the system delivers measurable impact. Weekly digest of top themes, sentiment trends, and specific customer quotes delivered automatically to product team Slack.