Sprint Capacity Planner

Plan cross-training without overloading a sprint

Use spare capacity and adjacent skills to reduce dependency on one specialist, while keeping training visible in the plan.

Start with a delivery dependency

Cross-training is easier to prioritize when it addresses concrete upcoming work. Identify a skill that has one qualified holder or weak advanced coverage, then find the sprint where that dependency matters. A generic training list is less useful than a specific task a second person needs to learn.

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. These are example learning activities, not an automatic qualification process.

  1. Reserve time from both the learner and the person teaching.
  2. Reduce ordinary delivery commitments accordingly.
  3. Define the observable task the learner should be able to perform.
  4. Check readiness before scheduling independent work.
  5. Update the skills matrix only after the team agrees the capability has changed.

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. Its scoring is deterministic; it does not use an AI service or understand availability beyond the data entered.

The suggested sprint and person need human review. 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. Where no realistic training window exists, move or re-scope the dependent work.

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