What problem does it solve?
Sprint planning often turns into guesswork, with unclear goals, overcommitted capacity, and backlog items that fail to account for PTO, meetings, and dependencies.
Core Features & Use Cases
- Sprint goal and success criteria: turns the sprint kickoff into a single, measurable focus for the team.
- Capacity-aware scoping: estimates available effort while accounting for PTO, interrupts, and calendar constraints, then maps scope to that capacity.
- Backlog prioritization and risk handling: clarifies P0 vs. stretch items, calls out dependencies/blockers, and drafts a complete sprint plan document.
Example use case: start a two-week sprint, paste your prioritized backlog (including carryover items), list the team’s availability and dependencies, and generate a sprint plan with capacity, risks, and a “definition of done” checklist.
Quick Start
Tell the AI the sprint name, sprint length, team availability, prioritized backlog, and any carryover or dependency constraints, and ask it to generate a capacity-aware sprint plan.