plan-accuracy-predictor

To predict plan implementation accuracy, you analyze planned steps to forecast quality and output a numerical score with reasons for why a plan is likely to succeed or fail. This enables pre-implementation risk assessment for product management and software engineering workflows.

Plan-based risk assessment evaluates planned steps to identify gaps between a plan and potential implementation, outputting per-step and overall scores. It provides actionable improvement suggestions to help engineers and product managers assess readiness before development begins.

You score your task plan by loading a plan file and running the predictor to evaluate steps, which outputs per-step scores, an overall score, and actionable guidance. This process highlights implementation risks and offers specific improvement recommendations.

Yes, plan accuracy prediction focuses on plan-based workflows across product management and software engineering. It evaluates planned steps to forecast implementation quality, enabling pre-implementation risk assessment for both domains.

The plan file should be a markdown document, such as a task plan located in the plans directory. The predictor reads this plan file to evaluate steps and present per-step scores, an overall score, and actionable guidance.

Plans fail due to gaps between planned steps and actual implementation requirements. Assessing risks beforehand involves analyzing the plan to output a numerical score and reasons for potential failure, providing actionable improvement suggestions to increase implementation accuracy.