Theme and topic clustering
Similar reviews are grouped automatically, which surfaces the most discussed problems and expectations.
Text and review analytics API
Turn scattered customer reviews into clear product and operational insight.
Reviews are labelled by theme, sentiment, urgency, product area and action type. Teams see what needs to change without reading thousands of free-text records.
“The product is good but the delivery arrived very late.”
DeliveryNegative
“The support team got back to me quickly.”
SupportPositive
“The app screen could be simpler.”
ProductNeutral
Sentiment and urgency scoring
Negative sentiment, crisis risk and reviews that need a fast reply are prioritised.
Team routing
Action labels are produced for product, support, marketing or operations teams.
Insight dashboard
A pile of free text becomes theme, sentiment and action labels.
Brands analyse review streams continuously and see customer expectations, product problems and campaign impact early.
- The voice of the customer is analysed at scale
- Product priorities become clear
- Crisis signals are caught early
Trend stream
Reviews sort themselves into the order teams should act on.
Text is submitted
Reviews, messages or open-ended answers are sent to the service over the API.
Labels are produced
Sentiment, topic, urgency and action area are determined.
Insight is reported
Trends flow into dashboards, reports or product management tools.
NLP
theme extraction
Live
sentiment tracking
Webhook
action output
Review Analysis
Let us draw product and operational insight out of your review data.
We review the channels, data and integrations you already have, then set out the right MVP flow.