Sprint Capacity Planner

Plan cross-training without overloading a sprint

Choose a teammate to learn a needed skill and reserve time for both the learner and the person teaching.

Choose a task someone needs to learn

Look for upcoming work that only one teammate can do. Choose a task that someone else could learn, then check whether both people have time before that work is due.

Make a small training plan

For example, Lee is the only data-pipeline specialist. Alex has related backend experience and room in the sprint. Plan a paired pipeline change, a documented recovery exercise, and a review in which Alex performs the task with Lee observing. Check Alex’s work before assigning a similar task without Lee’s help.

  1. Reserve time from both the learner and the person teaching.
  2. Reduce ordinary delivery commitments accordingly.
  3. Agree on a task the learner should be able to complete.
  4. Check readiness before scheduling independent work.
  5. Update the skills matrix once the teammate can do the work at the new level.

What the planner recommends

The planner considers active teammates other than the source specialist, their unused capacity, and skills in a related category. It can decline to recommend anyone when capacity is insufficient. It uses fixed rules and the availability you enter. It does not use an AI service.

Review the suggested person and sprint with your team. Confirm that the specialist is actually available to teach, that the work is suitable for practice, and that the learner wants and can take on the task. The recommendation does not automatically reserve training time or make someone qualified.

Review coverage after training

Track whether a second teammate can handle the required work and whether upcoming PTO still exposes a gap. Avoid making success depend on an optimistic change from beginner to expert after one session. If there is no time to train someone, move the work or reduce its scope.

Start with the skills-matrix example, then use the capacity calculation to keep both training and delivery within a realistic commitment.