Day 6
Discover what customers really think about you
Use AI to analyze customer reviews and uncover hidden patterns, sentiment trends, and actionable insights.
Box Snapshot
How to try it today
- Export or copy 30-100 recent reviews from Google/Yelp/social into one doc or sheet (one per row).1
- Clean the data: include date, rating, channel, and remove duplicates or obvious spam.2
- Paste into ChatGPT/Gemini with the prompt, adding your business type and audience.3
- Ask the model to cluster themes and pull verbatim quotes per theme with sentiment tags.4
- Review the 5 recommended actions and choose the top 3; assign owner and deadline.5
- Draft response templates for common complaints and publish one quick win this week.6
One-Click Prompt
You are a CX/research analyst. Analyze these customer reviews for [business] serving [audience] across [channels/locations].
Output:
- Sentiment split (%) with confidence and top adjectives per polarity
- Thematic clusters (name each theme) with 2-3 verbatim quotes and frequency
- Praises vs complaints vs latent desires (what they wish existed)
- Competitor or alternative mentions + why they prefer/avoid them
- Word/phrase spikes (top 15) and emerging trends over time if dates exist
- 5 prioritized actions (impact/effort matrix) with suggested owner/metric to watch
- 3 messaging angles to amplify what people love
Flag data gaps or anomalies and suggest 3 follow-up data pulls.
Paste this directly into ChatGPT, Claude, or Gemini.
Tools you'll need
Reference or business tip
Kenko Tea: Negative reviews about packaging dropped by half; customer satisfaction scores increased by 10%. Source: HubSpot
Today's Challenge
Export your last 30 customer reviews and run them through ChatGPT. Identify one quick win you can implement this week.