How is Vantage different from ChatGPT or Claude?

ChatGPT and Claude are great for one-off generation. Vantage is a full workspace. It connects your tools, tracks dependencies across projects, catches conflicts between products, and surfaces what needs your attention every morning. It also remembers every past decision, so a new PM can query across all projects and get cited answers in seconds.

Do I have to switch away from Notion or Linear?

No. You keep all your tools. Vantage connects to them and builds intelligence on top. When you're ready, you can push tickets to Linear or Jira. But the value starts before you create anything — just by connecting your tools and seeing what the intelligence layer surfaces.

What happens on day one?

You connect your tools — GitHub, Linear, Slack — 2 minutes each. Vantage indexes your existing data overnight. By the next morning, you see your first decision queue: what's stale, what conflicts, what changed. No manual setup. No templates to fill out.

What if I only manage one project?

Vantage works for single projects, but it shines when you manage 3–5 or more. Conflict detection, cross-project memory, and the decision queue are most valuable when you have multiple projects that need to stay in sync. If you manage one project, start with the free tier and see if the cited query engine alone saves you time.

All data encrypted in transit and at rest. We never train on your data — the AI providers we use are contractually barred from it. You can disconnect any integration or delete your account at any time. Pursuing SOC 2 Type II.

How does Vantage keep documents and tickets up to date?

When context shifts, you add the new information and Vantage rebuilds every connected deliverable. Documents, prototypes, and tickets all update. You review the changes, accept or reject each one, and approve. Nothing updates silently, and every change is traceable.

How do I get started?

Sign up free at app.vantageos.tech. Connect your tools, and generate your first grounded document within minutes. No credit card required. Upgrade when you need more projects or features.

How often should backlog grooming happen?

Once per sprint, mid-sprint. For 2-week sprints, run grooming in the middle of week 1. This gives the team a week to prepare issues before the next sprint planning session.

How many issues should be groomed per session?

Target 15-25 issues, with the goal of having the top 10 fully sprint-ready by the end. A 90-minute session at 5 minutes per issue covers about 18 issues.

Who should attend backlog grooming?

PM, tech lead, and engineers who will work on the tickets. Design is useful when UI issues are being groomed. QA is useful for acceptance criteria. Leadership is not needed — grooming is a working session, not a review.

How-To2026-08-219 min read

How to Run Backlog Grooming in Jira (Step-by-Step)

Backlog grooming (or backlog refinement) is the practice of regularly reviewing, estimating, and prioritizing backlog items so they are ready when sprint planning arrives. In Jira, grooming sessions are powered by the Backlog view, where the team reviews stories, adds acceptance criteria, estimates story points, and ranks items by priority.

This guide covers running a Jira backlog grooming session that leaves you with a sprint-ready top of backlog.

Step-by-step guide

Prepare the backlog before the meeting

Twenty-four hours before grooming, the PM reviews the backlog and promotes the top 20-30 issues to the top of the list. For each issue, verify it has a description, acceptance criteria, and any linked designs or PRD references. Issues missing this information are flagged — the grooming session should not spend time writing requirements from scratch.

Open the Backlog view

Navigate to your Jira project and click "Backlog" in the left sidebar. The backlog shows all issues not yet in a sprint, ordered by rank. The team will work from the top down during grooming. Have the sprint board visible in a second tab to reference in-flight work when making prioritization decisions.

Review and clarify issues

For each issue at the top of the backlog, the PM reads the description aloud. The team asks clarifying questions: What does "done" look like? What edge cases should be handled? What can be deferred? Update the acceptance criteria in real time as the discussion produces specifics. If an issue needs more than 10 minutes of discussion, it is not ready — table it and flag for async follow-up.

Estimate with story points

After the issue is understood, estimate using Planning Poker or T-shirt sizing. In Jira, update the Story Points field (or Story Point Estimate) for each issue. Consensus within one Fibonacci step (1, 2, 3, 5, 8, 13) is close enough. Issues that generate wildly divergent estimates (one engineer says 2, another says 13) reveal hidden complexity — discuss before moving on.

Rank issues by priority

In the Backlog view, drag issues up or down to reorder by priority. Jira uses this ranking during sprint planning. The top of the backlog should represent the team's next sprint candidates. Issues that cannot be ranked (unclear priority) should be moved to the bottom or flagged for PM decision.

Identify and break down large issues

Any issue estimated at 13 points or more should be split. Use the Jira "Create subtask" or "Split issue" action to break it into smaller stories. Large estimates indicate scope that is too broad for a single sprint ticket. Aim for issues in the 1-5 point range at the top of the backlog.

Flag sprint-ready issues

Use a Jira label "sprint-ready" or a custom field "Groomed" (yes/no) to mark issues that have passed grooming: have acceptance criteria, are estimated, and are ranked. Filter the backlog by "Groomed = yes" during sprint planning to quickly identify committable work.

Common mistakes

Grooming issues that are not ready for discussion

Grooming sessions should review, not write. If an issue is a title with no description, it takes 20 minutes in a group to get to the point where estimation is possible. The PM must prepare issues before grooming, not during.

Estimating without understanding

Teams that estimate before fully understanding an issue produce unreliable estimates. Spend 5 minutes on clarification before opening the estimation discussion. Understanding first, estimation second.

Not acting on large estimates

A 13-point story that stays at 13 points and lands in a sprint will blow the sprint. Any issue over 8 points must be split before sprint planning. Grooming is the right time to split, not sprint planning.

Tips

Run grooming mid-sprint (Wednesday of week 1 in a 2-week sprint) — not the day before sprint planning

Cap grooming at 60-90 minutes — context fatigue sets in after 90 minutes and estimate quality drops

Use Jira's built-in estimation field visible in the Backlog view — no need for a separate spreadsheet

Keep a "Definition of Ready" checklist in your grooming meeting notes: description, acceptance criteria, design link, estimate

How Vantage helps

Vantage generates Jira-ready tickets with descriptions, acceptance criteria, and dependency context already populated from the PRD. When tickets arrive in Jira pre-filled, grooming sessions focus on clarification and estimation — not writing requirements from scratch.