From Flagged to Fixed: Meet Rovo Agent “FlagFocus”

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AI should shorten the path from question to answer—not add ceremony. 

That’s exactly why we built FlagFocus, a new Rovo Agent for the Time in Status app for Jira. Instead of yet another lengthy report, you ask a focused question and receive a focused answer: Where do our flagged issues spend their time, and how much of it?

“We had customer requests, but it was a never-ending story to build everything into a single report. In the era of AI, we developed a flexible solution that closes the case without altering the product. We use the Time in Status app for Jira as the data generator, and display the answer in the agent.”

The pain we’re solving 

• Flags without clarity. You can see which issues are flagged—but not where the delay actually lives (Review? Waiting on Vendor? Back in Progress?).
• Too many tabs, too much time. Chasing status history across dashboards is slow and brittle.
• Hard to prioritize unblockers. “Everything is urgent” until you know which status eats most of the flagged time.

FlagFocus turns Jira’s history into a short, defensible story so you can act in minutes, not meetings.

What FlagFocus does (and why it’s useful)

You provide: a JQL filter and a time window.
FlagFocus returns: two compact, decision-ready tables.

1. Flagged Overview
   Period • Filter • Total Flagged Time • Issue Count
   
   
   • Helps you visualize the scope of the problem.
     
     
2. Flagged Time by Status
   Total Flagged Time + per-status breakdown and % share
   
   
   • Shows exactly where flagged time accumulates (e.g., In Review, Waiting for Customer, In Progress).
   • Lets you triage (escalate the top status), fix root causes (tighten rules where spikes appear), and prioritize unblockers (sort by the longest-flagged issues).

No exports. No pivots. Just the “where” and “how much” you need to move.

Why an agent (and not another dashboard)?

• Conversation is the UI. Leaders ask, “What’s flagged on the payments team this month?” The agent answers for that scope—no custom view to build.
• Context over columns. AI assembles what you’d stitch together manually, only faster and without extra clicks.
• No product rewrites. The Time in Status app for Jira continues as your reliable data source; FlagFocus sits on top to deliver the insight.

How to use it (first run takes under a minute)

1. In Jira, open Chats.
2. Search “Rovo Agent FlagFocus.”
3. Open the agent (tip: start with “Tell me about yourself.”).
4. Paste a filter and period (plain English works), or use JQL.

JQL starters you can copy & tweak

• Team board, last 30 days
  project = ABC AND statusCategory != Done AND Flagged is not EMPTY
  
  
• This sprint
  sprint in openSprints() AND Flagged is not EMPTY
  
  
• JSM waiting focus
  project = JSM AND Flagged is not EMPTY AND status in ("Waiting for Customer","Waiting on Vendor")
  
  

Reading the output (and turning it into action)

Flagged Overview

• High total time, few issues → a handful of severely stuck items. Unblock them first.
• High total time, many issues → systemic friction (policy, vendor, approvals). Change the rule, not just the ticket.

Flagged Time by Status

• One status dominates → fix there first.
  • Waiting for Customer/Vendor: pause SLAs, auto-resume on reply, publish response expectations.
  • In Review: split Code Review vs QA Review; require a PR to enter Code Review.
  • In Progress: require a status update on handoff so work doesn’t stall silently.
• Several statuses share the pain → clarify definitions; collapse overlapping steps; add a light guard to keep work moving.

Keep changes reversible. If you can’t roll it back in one click (disable a validator/automation), it’s too big for the first pass.

Practical tips (so this doesn’t become “just another tool”)

• Don’t weaponize Waiting. Treat external waits as neutral visibility; use them to renegotiate vendor/customer SLOs.
• Make steps mean one thing. If “Review” does five jobs, it will dominate the table forever. Split it.
• Name owners, not culprits. “Anna owns the approval rule change” is productive; “Team X is slow” is not.
• Share short wins. A one-liner with before/after keeps momentum (“Flagged time in Review down 22% after PR guard”).

Try it today

• Chats → Rovo Agent FlagFocus
• Run it for the last 30 days on your team filter
• Tackle the top status with one reversible change
• Re-run next week; share a one-liner before/after
  
  

FlagFocus brings fast answers to the place you ask the question. The Time in Status app by SaaSJet remains your trusted data generator; the Rovo Agent turns that data into your next best move.

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