How are you using Rovo in Jira Software to actually reduce manual triage time

Question

We enabled Rovo agents last month. It finds related tickets well, but I am struggling to measure if it saves time vs just using saved filters. For teams running 1k+ issues in backlog, did you set up a specific Work Suggestions agent or Automation rule with Rovo? What metrics proved ROI to leadership. Curious what prompts and scopes worked for you.

Germán Morales · Accepted Answer

Hi @HEMANT SAINI , the lever that moves triage time is running a Rovo agent from automation rather than querying it ad hoc. Trigger an agent on Work item created and have it do the reading you do by hand now: surface likely duplicates and related issues, infer component, team and priority from the description, and drop a short triage summary with a suggested assignee. The out-of-the-box Service Triage agent does this in automation mode; for Jira Software you can build a custom agent the same way and wire it up under the agent's Triggers.

On proving it, you already have the metric you're missing: each Rovo agent exposes data insights to its owner, including a time-saved figure alongside usage and satisfaction, which is exactly what leadership wants to see. Pair that with one clean before-and-after from Jira itself, the median time an issue sits in your Triage or To Do status, ideally run as an A/B for a sprint with the agent on one team and off on another. That median reduction times your weekly issue volume is your ROI line.

On scope and prompts, keep the agent scoped to the one project and the specific fields it may touch, ask it for structured output such as duplicate links, component, priority and a one-line summary instead of prose, and leave the sensitive fields as suggestions until you trust it. Automation setup is here: automating Rovo agents.