Case study

30 sprints of real velocity.

This is throughput from a team running Q in production — not a synthetic benchmark. Each bar is one sprint's completed points, tracked from early rollout through steady-state orchestration.

What you're looking at

Each bar is one sprint's completed story points, S10 through S41 — about eight months of continuous delivery. The dashed line inside each phase is that phase's average; the white line is the monthly cumulative total, read against the right-hand axis.

The four phases mark distinct stages of adoption: an initial rollout window, a landing period as the team ramped up, a scaling phase, and a compounding phase where velocity climbed and held. Sprint point totals are the team's own estimates, tracked in Jira and pulled directly from sprint reports — nothing here is modeled or projected.

The first phase (S10–S17) is a 7-person development team working the backlog by hand. Starting at LANDING (S18), that team was replaced by a single senior engineer operating Q. Through April, May, and June that engineer refined the prompts and workflow behind the orchestration; by July the improvements compounded into a step change in output.

Month over month: April → May +19%, May → June +28%, June → July +69% in completed story points — computed directly from the sprint totals above.

Hover any bar for that sprint's exact point total and phase.

Phase average Monthly cumulative
Sprint points
Cumulative points
Sprint

Want to see how this looks on your own backlog?

Talk to us about pointing Q at your sprint history — how it plans, tracks, and coordinates, with no code leaving your infrastructure.