Sprint Velocity

The typical amount of work a team finishes in a sprint, expressed in the same units used for estimation, such as story points or ideal time.

Key Points

  • Velocity counts only work that meets the Definition of Done at the end of the sprint.
  • It is measured in consistent estimation units (e.g., story points or ideal time) and often averaged across recent sprints for forecasting.
  • Velocity is not a productivity KPI and should not be used to compare different teams.
  • Capacity changes, scope clarity, and team stability influence velocity; adjust forecasts for holidays, new members, or disruptions.

Example

Across the last three sprints the team completed 24, 20, and 22 story points. Their average velocity is about 22 points per sprint. With a backlog of 110 points, the release is forecast to take roughly 5 sprints (110 / 22).

PMP Example Question

A Scrum team has an average velocity of 30 story points. The product backlog for the next release totals 150 story points. What is the best forecast for the number of sprints needed, assuming stable capacity?

  1. 5 sprints, based on the current average velocity
  2. 4 sprints, if the team works overtime
  3. 3 sprints, because velocity should increase each sprint
  4. Cannot estimate until tasks are broken into hours

Correct Answer: A — 5 sprints, based on the current average velocity

Explanation: Velocity is used for empirical forecasting. Dividing 150 by the average velocity of 30 yields an estimate of 5 sprints, assuming conditions remain similar.

AI for Agile Project Managers and Scrum Masters

Become an AI-first leader and transform your agile practice by leveraging artificial intelligence as your most powerful co-pilot. This course is designed to help you drive efficiency, insight, and innovation, ensuring you stay at the forefront of a rapidly evolving project management landscape.

This isn't about replacing human intuition—it's about augmenting it. You'll master prompt engineering to automate mundane tasks, freeing up your time for high-impact strategic leadership and creative problem-solving. Learn to refine backlogs, create strategic roadmaps, and integrate AI seamlessly into your agile ceremonies.

Gain predictive power by using AI-driven insights to anticipate project risks and seize new opportunities for more reliable outcomes. We deliver practical, prompt-based workflows and proven strategies built around real-world agile challenges that you can implement immediately within your framework.

Master foundational AI concepts specifically relevant to Scrum environments while developing advanced skills to handle diverse agile scenarios. You will learn to champion an AI-enabled culture within your organization, fostering a dynamic environment of continuous improvement and superior team delivery.

Learn alongside professionals around the world working in project leadership and delivery.

Explore the Course


Advance your Lean Six Sigma expertise!

HK School of Management helps you take Lean Six Sigma to the next level without the overwhelm. Master advanced statistical tools, Excel-based analysis, and real-world improvement techniques to solve complex problems with confidence. Practical skills, tools, and guidance you can apply right away. Covered by Udemy's 30-day refund policy.

Learn More