Analyze support tickets for product issues in minutes
Upload or paste your support tickets → uncover recurring product issues, bug patterns, and friction points your team needs to fix
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"I've tried three times to complete my order but the payment screen just freezes after I hit confirm. I end up having to start over completely."
"Every time I try to upload a photo from my phone the app crashes instantly. It works fine on desktop but mobile is completely broken for me."
"My changes on the desktop aren't showing up on my phone for like 20 minutes. It makes it impossible to work on the go and trust what I'm seeing."
"The error just says 'something went wrong' with no explanation. I have no idea what I did wrong or how to fix it so I just give up."
What teams usually miss
A bug reported by only 5% of users can still drive significant churn if it blocks a critical workflow — but it rarely surfaces in ticket volume dashboards.
The same underlying product issue often gets logged under different labels like "billing," "account," and "technical" — making it invisible until you analyze the language, not just the tags.
When users hit the same issue multiple times without resolution, they stop submitting tickets and quietly churn instead — leaving your data undercounting the real scope of the problem.
Decisions you can make from this
Prioritize which bugs to fix first based on how frequently and urgently they appear across real user language in your ticket backlog.
Identify which product areas — onboarding, checkout, integrations — generate the most support volume so engineering can focus on root causes, not symptoms.
Determine whether a spike in support tickets reflects a new bug introduced in a recent release or a long-standing usability issue finally reaching a tipping point.
Build a data-backed case for roadmap changes by showing stakeholders the exact frequency and user impact of unresolved product issues surfaced from real tickets.