Analyze support tickets for feature requests in minutes
Upload or paste your support tickets → uncover the most-requested features hiding in user complaints and workarounds
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"I've been manually downloading each report one at a time for months — please just let us export everything at once. It's costing us hours every week."
"We need to give our clients view-only access without them being able to accidentally change settings. Is there any way to lock down what different users can do?"
"If this could sync directly with Google Calendar I wouldn't need to copy everything over manually. That one thing would save my team so much time."
"Every Monday I run the same five reports and send them to my manager. Can this just happen automatically on a schedule? I shouldn't have to babysit it."
What teams usually miss
Users rarely submit a clean feature request — they describe a frustrating workaround, and the implicit ask gets lost when tickets are triaged for urgency alone.
When users say "automate," "schedule," "recurring," and "set it and forget it" they often mean the same thing, but keyword searches and manual tagging never connect the dots.
Your most engaged users submit the most tickets, so their feature requests are statistically overrepresented — and easy to treat as outliers without proper frequency analysis across your whole user base.
Decisions you can make from this
Prioritize which feature requests appear most frequently across ticket volume so your roadmap reflects real user demand rather than the loudest voices.
Identify quick-win features that could deflect a large share of recurring tickets before they ever reach your support team.
Segment feature requests by customer tier or plan to decide whether high-demand asks are coming from your best-fit users or from segments outside your ICP.
Share a data-backed feature request report with stakeholders to align product, support, and sales on what to build next — without anyone having to read thousands of tickets.