estimate-stories

Story point estimation uses a structured formula—Complexity (1-5) × Effort (1-5) + Risk (0-3)—to size user stories consistently. This approach replaces subjective judgment with objective, repeatable scoring, enabling accurate sprint planning and velocity tracking across your team.

A formula-based estimation method removes inconsistency by applying the same Complexity × Effort + Risk calculation to every story. You load acceptance criteria, assign scores using defined scales, generate a documented rationale with confidence levels, and record assumptions—creating an auditable trail for backlog grooming.

Stories exceeding a predefined threshold (typically 13 points) trigger automatic split recommendations, breaking them into smaller, deliverable units. This prevents scope creep and ensures stories fit within typical sprint capacity while maintaining estimation clarity.

Yes. Load your story file containing acceptance criteria, then analyze each criterion against complexity, effort, and risk dimensions. The Skill computes points and produces a breakdown with assumptions tied directly to your stated acceptance criteria, keeping estimates grounded in requirements.

You need the user story file with acceptance criteria. The Skill then guides you through assigning complexity, effort, and risk scores; it does not require external tools or prior estimation data. The formula and detailed rationale emerge from the criteria you supply.

Consistent, evidence-based estimates create predictable velocity—the amount of work your team completes per sprint. This enables reliable capacity planning, improves forecasting accuracy, and allows you to identify trends in team performance and capacity over time.