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.

What is a good velocity baseline?

Velocity varies by team size and sprint length. What matters is consistency: a team that consistently delivers 28 points is more predictable than one that delivers 20-40 depending on the sprint. Consistency enables reliable capacity planning.

How do I handle new team members in capacity planning?

A new engineer at full capacity delivers roughly 50-70% of a senior engineer's velocity for the first 60-90 days (ramp-up overhead). Adjust capacity estimates accordingly for the first 2-3 sprints.

Should story points represent time?

Story points represent relative complexity, not time. However, once a team has established velocity in points per sprint, points become an indirect capacity measure. The relationship is consistent within a stable team but not transferable across teams.

How-To2026-08-219 min read

How to Set Up Capacity Planning in Jira (Step-by-Step)

Capacity planning in Jira prevents the most common sprint failure: committing to more work than the team can actually deliver. Jira's sprint planning view shows story point totals as you add issues, but meaningful capacity planning requires accounting for team availability, planned time off, and realistic velocity rather than just counting points.

This guide covers setting up capacity-aware sprint planning in Jira, from velocity baseline calculation through sprint-by-sprint capacity adjustment.

Step-by-step guide

Calculate your velocity baseline

Open the Velocity Chart (Reports > Velocity Chart) in your Jira project. Look at the last 5 completed sprints. Average the committed vs. completed story points. If your team committed 40 points on average but completed 28, your real velocity is 28 — not 40. Use the completed average as your baseline, not the committed average.

Account for team availability

Before each sprint, calculate available person-days. For a 10-business-day sprint with 5 engineers: base capacity is 50 person-days. Subtract planned time off, company holidays, and meetings-heavy days (sprint planning, grooming, retro). A realistic effective capacity for a team with 2 vacation days and sprint ceremonies is closer to 44 person-days.

Convert story points to capacity-adjusted commitment

Use the formula: adjusted capacity = (available person-days / sprint baseline person-days) × velocity. If velocity is 30 points on a full 50 person-day sprint, and this sprint has 44 effective person-days: adjusted capacity = (44/50) × 30 = 26.4 points. Round down to 26 for the sprint commitment.

Use the Jira Sprint Commitment indicator

In the Backlog view, when you drag issues into a sprint, Jira shows the total story points in the sprint panel at the top. Use this as your real-time commitment tracker during sprint planning. Stop adding issues when you reach your adjusted capacity number — do not fill the sprint because points are available.

Set up Advanced Roadmaps capacity planning

For multi-team planning on Jira Premium, use Advanced Roadmaps: Plans > Settings > Teams. Add each team member with their working days and capacity percentage (account for meeting overhead — most engineers are at 70% of working time on sprint work). Advanced Roadmaps then calculates cross-team capacity automatically.

Track actuals vs. planned each sprint

After each sprint, record planned capacity (points committed) and actual velocity (points completed) in a spreadsheet. Over 5-10 sprints, this data reveals your team's realistic planning ratio (actual/planned). Use this ratio to adjust future sprint commitments automatically.

Build a capacity buffer for unplanned work

Reserve 15-20% of sprint capacity for unplanned work: bug fixes, critical incidents, and ad-hoc requests. If your adjusted capacity is 26 points, commit to only 21 points of planned work and hold 5 points in reserve. Teams that do not buffer consistently miss their sprint commitments due to unplanned interruptions.

Common mistakes

Using committed velocity instead of completed velocity

The Jira Velocity Chart shows both committed and completed bars. Teams that plan based on committed velocity perpetuate overcommitment. Always plan based on completed velocity.

Ignoring time off in capacity calculations

Missing one engineer for 3 days in a 10-day sprint reduces capacity by 15% — a significant commitment impact. Always gather availability before sprint planning and adjust the story point target accordingly.

No buffer for unplanned work

Every team has unplanned work every sprint. Teams that do not buffer for it either miss commitments or sacrifice quality to keep up with ad-hoc demands.

Tips

Create a sprint capacity calculator as a Confluence page linked from your sprint planning meeting agenda

Use a Google Sheet with the velocity formula to calculate adjusted capacity in 2 minutes before each sprint planning session

Block "capacity planning" as a 15-minute pre-meeting before each sprint planning session

Track the planned vs. actual ratio over time — teams that improve their planning accuracy see velocity increase naturally

How Vantage helps

Vantage generates dependency-aware ticket waves that align with sprint capacity. Wave 1 tickets have no dependencies and can be committed immediately. Wave 2 and 3 tickets wait for Wave 1 to complete, which naturally prevents over-commitment on dependent work.