R&D and Product
Theo
Ticket Cluster Agent
R&D and Product
Theo
Ticket Cluster Agent
2 FTE
Key Characteristics
Hi, I’m Theo. I analyze huge volumes of support tickets and group them into actionable clusters — even when they’re messy. I find recurring issues, emerging trends, and product signals your R&D team can act on fast. Less guesswork, more insight
Uses AI to identify patterns across messy or unstructured tickets
Tags and clusters by symptom, root cause, or product version
Surfaces urgent or rising trends before they escalate
Feeds data back to Product, Support, and Engineering
Example Scenario
You upload six months of support tickets for analysis. Theo identifies that 38% of inverter errors stem from one connector issue in a specific batch — helping R&D close the loop and reduce future support load.
