REVIEW SIGNAL
Review analysis with examples and team actions
Customer feedback analysis from a supplied export, with a route from each theme to original reviews.
Original concept. This interface illustrates a possible product.An average rating hides repeated problems. Reading one review at a time makes it hard to see growing themes and choose what to improve.
A supplied export becomes topics, rating trends and a problem list. Conclusions link to original reviews; a selected issue becomes a team task.
- Supplied CSV import
- Recurring-topic grouping
- Rating trends and examples
- Improvement task list
Original review examples
A theme opens its original examples and observation period. A real review may contain several themes, so topic counts must not be presented as independent customers.
Actions from the analysis
Trends describe the available sample; they do not prove a cause. A responsible person checks the examples and defines the task. The sketch filters fixed reviews and records a local draft action.
Interactive demo
3 / 5 · Speed«We liked the order, but collection took longer than promised.»
5 / 5 · Service«The staff member took care to help us choose the right option.»
2 / 5 · Speed«We needed a clearer update on when the order would be ready.»
5 / 5 · Quality«Careful packaging and good-quality materials.»
4 / 5 · Service«Everything was explained clearly. More examples would have helped.»
These reviews are fictional. Choose a topic to turn examples into an action.
This runs in your browser. No data is sent. State resets when you leave; downloaded files stay with you.
Context and limits +
An analytical concept with fictional reviews. It uses business-supplied exports and does not scrape closed platforms. AI classification would require human checks.