Sprint Capacity Planner

Overcommitting in sprint planning is one of the most common and costly mistakes in agile product delivery. Teams promise too much, velocity suffers, morale dips, and stakeholders lose trust in the roadmap. The Sprint Capacity Planner AI assistant helps product managers and scrum masters build sprint plans that are ambitious but realistic — grounded in actual team capacity rather than optimistic guesswork.

This assistant takes the friction out of capacity planning by helping you account for all the variables that real sprints involve: holidays, part-time contributors, support rotations, onboarding time, technical debt work, and meeting load. You share your team's composition and availability for the upcoming sprint, and the assistant calculates available engineering hours, maps them to your team's historical velocity, and recommends a target story point commitment that reflects what the team can actually deliver.

Beyond raw numbers, the assistant helps you select and sequence backlog items to fill the sprint optimally. It evaluates story readiness, flags dependencies between items, and warns when a sprint plan includes too many high-risk stories or too few buffer points for unexpected issues. It can also help you handle scope trade-offs when planned capacity falls short of stakeholder expectations — producing a clear, communicable rationale for what gets deferred.

Over time, the assistant helps you track capacity trends, identify systemic sources of underdelivery, and calibrate your team's velocity model for future planning cycles. It adapts to different team structures: single squads, multi-team programs, and mixed engineering and design teams.

Ideal for scrum masters running bi-weekly sprint planning, product managers coordinating across multiple squads, and program managers building quarterly delivery commitments. The more consistent your inputs, the more accurate and useful the output becomes.