Analyze Zendesk tickets for feature requests in minutes
Connect or paste your Zendesk tickets → instantly surface recurring feature requests, user needs, and product gaps your roadmap is missing
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"I have to update each ticket one by one — it takes forever. If I could just select them all and close them in bulk, that would save me hours every week."
"The search is really basic. I need to filter by custom fields and date ranges at the same time. Right now I have to export to Excel just to find what I need."
"We keep missing urgent tickets because we're all in Slack. Even a simple bot that pings us when a VIP customer submits something would be a game changer."
"The built-in reports don't match how our team tracks performance. We need to build our own views — something like a drag-and-drop report builder would be incredible."
What teams usually miss
When hundreds of tickets come in weekly, genuinely popular feature requests get lost among complaints and how-to questions unless you have a system actively pulling them out.
Users describe the same missing feature using completely different language, so manual tagging and keyword searches fragment the signal and make demand look smaller than it really is.
Without analyzing who is making each request, product teams can't tell whether a feature is wanted by enterprise power users, free-tier newcomers, or a specific industry vertical.
Decisions you can make from this
Prioritize your next sprint by ranking the top 10 most-requested features by ticket volume and customer tier, so engineering works on what will have the greatest retention impact.
Kill low-priority roadmap items by seeing which features users have stopped requesting entirely, freeing your team to focus on what customers are actively asking for today.
Segment feature demand by customer plan or industry to decide whether to build a general solution or a targeted feature for your highest-value accounts first.
Brief your sales and CS teams with a monthly feature request digest so they can set accurate expectations with prospects and reduce churn caused by unmet product promises.