Customer review analysis: turn reviews into themes

A star rating tells you that customers are unhappy; the review text tells you why. Customer review analysis — also called customer feedback theme analysis — extracts those reasons as structured themes you can act on and track over time.

Beyond a sentiment score

Sentiment alone (“62% positive”) is a thermometer, not a diagnosis. To improve a product you need the themes behind the sentiment: shipping delays, a confusing checkout, a specific feature request. Theme analysis groups reviews by the idea they express and attaches sentiment to each theme, so you can see which problems drive the most negativity and which delights drive loyalty.

What you can build

A review dashboard that shows the top themes per product, with prevalence and trend.
Alerting when a new negative theme spikes after a release.
Competitor analysis by running the same coding over public reviews of rivals.

How to do it with an API

Send a batch of reviews to a theme extraction API and get back named themes, prevalence counts, theme-level sentiment, confidence scores, and the exact quotes behind each theme — ready to render in a dashboard. A persisted codebook keeps this quarter comparable to last quarter. Explore the use cases for more.

Turn text into themes with one API call

thematicanalysis.ai returns codes, themes, quotes, sentiment, and confidence scores as structured JSON — grounded in the six-phase method. Join the waitlist for early sandbox access and launch pricing.

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