Customer feedback dashboards that build themselves.

A customer feedback dashboard is a single view of what customers are saying across every channel you collect feedback from, grouped by theme and tracked over time. Instead of one chart for survey scores and another for ticket volume, it puts every source under one taxonomy, so a rise in complaints about checkout reads the same whether it arrived as a review, a ticket, or a call.

Most feedback dashboards are built by hand. Someone picks the tags, writes the queries, and rebuilds the view every time the business changes. Unwrap builds the taxonomy from your feedback and keeps the dashboard current on its own, so reporting stays accurate without a standing maintenance cost. GitHub Copilot reports an 82% reduction in time spent categorizing user feedback after moving that work to Unwrap.

Unwrap dashboards update as feedback arrives, so the number in a Monday meeting already reflects what customers said over the weekend.

Feedback syncs from every connected source and is categorized on the way in, so nothing waits on someone to tag it. Time series views sit next to the underlying anecdotes, so a spike is one click away from the verbatims that caused it.

The digest is built from the same taxonomy as the dashboards, so the number an executive sees in their inbox is the number the team sees in the platform. Teams that run a standing VoC meeting can point at the dashboard live instead of exporting slides.

Each tool has its own tags and its own scoring, so the same complaint gets counted three different ways and the totals never reconcile. Unwrap categorizes at ingest instead, across every source in its customer feedback integrations, which means channel becomes a filter on one number rather than three numbers that have to be argued about.

Because the taxonomy is generated from the feedback rather than picked in advance, a problem does not need an existing tag to be counted. The same mechanism drives feature request analytics, where the themes that surface are things customers want built rather than things that broke. Unwrap’s average alerting time for anomalous trends is under 24 hours, delivered to Slack and email, well before the theme is large enough to notice in a monthly report.