Calibrate Sizing

About

Part of the PRISM framework, the Calibrate Sizing skill automates the retrospective analysis of development task estimations to bridge the gap between predicted and actual delivery times. By applying Personal Software Process (PSP) principles and PROBE (Proxy Based Estimation) methodology to your historical data, it identifies systematic biases, updates size category definitions from VS to VL, and refreshes proxy libraries. This ensures that software engineering teams achieve higher predictability, reduced variance, and more reliable sprint planning through data-driven recalibration.

Key Features

• Historical variance analysis comparing estimated vs. actual story duration
• Automated updates for story point mappings and size category definitions
• PROBE proxy library refinement based on recent high-quality completions
• Statistical regression modeling to improve future sizing precision
• Systematic bias identification for specific technology stacks and complexities
• 1 GitHub stars

Use Cases

• Refining project roadmaps by reducing estimation error margins below 30%
• Recalibrating team velocity when introducing new technologies or changing team composition
• Conducting data-driven retrospectives after completing a project phase or 10+ stories