We are transitioning to a high-velocity Scrum model, but I’m struggling to define our actual capacity. My team is constantly over-committing during sprint planning, leading to spillover and exhaustion. How do you factor in non-billable time, like meetings and administrative tasks, to find a realistic 'Productive Work' number? Should I be using a percentage-based buffer, or is there a more data-driven way to track velocity trends to avoid over-allocation?
3 answers
From my experience managing software teams, the "80% Rule" is a lifesaver. Never plan for 40 hours of "deep work" per person. Between stand-ups, code reviews, and the occasional "quick question," most developers only have about 28 to 32 hours of actual feature-building time. I started using a dedicated Resource Management tool to track historical velocity over the last six sprints. By taking the average of those sprints and then subtracting a 15% buffer for "unplanned drag," our sprint commitments finally became predictable. This reduced our spillover rate by nearly 40% in just three months.
Are you currently tracking "Focus Time" vs "Meeting Time" in your team's calendars to see where the actual leakage is happening?
You should try using 'Story Points' for capacity instead of hours. It accounts for complexity and uncertainty much better than raw time.
I agree with Robert; point-based estimation combined with a "Velocity Chart" gives a much clearer picture of what a team can actually deliver.
Michael, we just started doing a calendar audit. It turns out "Synchronous Communication" is eating up nearly 12 hours a week per dev. I’m thinking of implementing "No-Meeting Wednesdays" to protect their deep work capacity. Do you think that’s enough, or should we also move our status updates to an asynchronous tool like Slack to free up more of those billable hours?