Voice of customer · Ticket analysis
Support ticket analysis that turns your help desk into a list of product fixes
Your help desk is the most honest feedback channel you have, and the least mined. Every ticket is a user telling you something is wrong, but the volume buries the pattern. Agents resolve cases one by one, the same issue gets reopened a hundred times under a hundred subject lines, and nobody steps back to ask what the whole queue is really saying.
UserInsight does support ticket analysis that finds the pattern. It themes tickets from Zendesk, Intercom and the rest, quantifies which issues drive the most volume and cost, and ties each theme to behavior so a support trend becomes a product fix. Deflecting the ticket beats answering it faster. It runs on aggregate, consented data with no PII exposed, and every theme links to the tickets behind it.
Unify · surface the why · traced to evidence
Sample product
Ready to analyze
has signals waiting across usage, tickets and reviews. Surface the insights to see why users churn and what to build next.
Surfacing insights
AnalyzingHeadline insight
← friction step · biggest drop-off
Live, interactive · aggregate sample data
Every insight traced to its source signals · aggregate & consented · no PII exposure
Traced to source evidence
No PII · GDPR-friendly
Why it works
What your team gets with ticket analysis
Themes in the queue
Tickets are grouped into issues automatically, so the same problem under a hundred subject lines is counted as one.
Cost and volume
Each theme shows how much support load it drives, so you fix the issues that actually drain the team.
Tickets to fixes
Every theme is tied to behavior, so a support trend turns into a specific product change rather than a faster reply.
What it handles
Unified, analyzed and surfaced, automatically
UserInsight unifies your sources, reads behavior and voice together, and surfaces the churn reasons, feature requests, friction steps and themes, each traced to the signals behind it.
- Themes tickets from Zendesk, Intercom and more
- Quantifies the volume and cost of each issue
- Connects ticket themes to product behavior
- Surfaces the fixes that would deflect the most tickets
- Links every theme to its source tickets
Top churn reason
Onboarding stalls before the first project
traced to 214 tickets + a 9% drop-off at onboarding step 3
Why UserInsight
One platform that fuses behavior and voice
Not an analytics tool that only shows the what, not a feedback repository that is blind to behavior. UserInsight joins both and surfaces the why, on aggregate consented data with no PII.
Unifies every source
Usage analytics, tickets, reviews, surveys and in-app feedback come together in one model, so behavior and voice finally live in the same place.
Surfaces the why
You do not write a query and wait. UserInsight tells you why churn moved and what to build next, ranked and quantified, the moment it changes.
Traced to evidence
Every insight links back to the specific tickets, reviews and events behind it, so you can click through and trust what you act on. No black box.
Good questions
Questions about ticket analysis
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Unify your usage data, feedback, tickets, reviews and surveys, and UserInsight surfaces the why, automatically. Aggregate and consented, with no PII.
Unifies usage, feedback, tickets, reviews and surveys · traced to source · no PII