effort-estimator

To estimate story points for a feature request, provide a detailed feature description to generate a structured, risk-aware estimate. The output categorizes effort size and provides a clear work breakdown by backend, frontend, testing, and infrastructure to guide sprint planning.

Risk-aware effort estimation factors data complexity, integration requirements, testing needs, and infrastructure risks into the final calculation. It identifies these risks alongside the effort breakdown to ensure accurate resource implications for backlog prioritization.

To break down feature work into backend, frontend, and testing tasks, input the feature request for a structured estimation. The process articulates specific components, proposes next steps, and assigns story-point ranges to each technical area.

Yes, effort estimation can account for infrastructure and integration risks by factoring them directly into the assessment. It evaluates data complexity and integration points to produce risk-aware estimates with resource implications and recommended next steps.

Work breakdown structure estimation works for large feature tracking by classifying work into small, medium, large, and extra-large categories with story-point guidance. This scales effectively for roadmapping and backlog estimation across varying feature complexities.