Analyze help desk tickets for automation opportunities in minutes
Upload or paste your help desk tickets → instantly uncover high-volume repetitive requests and the automation opportunities hiding inside them
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"I had to contact support just to reset my password — why can't I do this myself from the login page?"
"I've submitted three tickets just asking where my order is. There's no tracking page I can actually use."
"Every month I have to email someone to get my invoice. Can't this just be available in my account?"
"I spent two days waiting for a reply just to learn how to connect my first integration. A guided setup wizard would have fixed this."
What teams usually miss
Without systematic analysis, support teams never realize that dozens of hours per week are consumed by requests a simple self-serve flow or chatbot could fully resolve.
The same underlying request gets phrased dozens of different ways, so manual reviews consistently undercount how often an issue truly occurs and underestimate its automation value.
Repetitive support requests that point directly to missing self-serve features rarely make it into roadmap discussions because no one has connected the volume data to a clear product gap.
Decisions you can make from this
Prioritize which ticket categories to automate first by ranking them on volume, average handle time, and resolution simplicity — so your team attacks the highest ROI opportunity immediately.
Build a targeted chatbot or IVR flow around the top three repetitive request types your tickets reveal, with scripts grounded in the exact language customers actually use.
Present a data-backed case to product and engineering for self-serve features — such as in-app password reset, live order tracking, or on-demand invoice downloads — tied to real ticket volume numbers.
Define clear deflection benchmarks for your support team by establishing which automated workflows should eliminate specific ticket categories within a target timeframe.