estimation-stinger

What problem does it solve?

This Skill helps teams replace unreliable software estimates with disciplined sizing practices, evidence-based forecasting, and clearer communication about delivery uncertainty.

Core Features & Use Cases

• Estimation Framework Guidance: Applies Fibonacci story points, T-shirt sizing, Planning Poker, and relative sizing practices while preventing misuse of estimates as commitments.
• Probabilistic Forecasting: Guides teams through throughput-based forecasting, Monte Carlo simulations, confidence percentiles, and NoEstimates approaches for realistic delivery predictions.
• Estimation Dysfunction Diagnosis: Identifies planning fallacy, estimation drift, stakeholder commitment traps, and granularity problems to recommend the appropriate technique.
• Use Case: Help an engineering team explain why sprint estimates keep missing deadlines, choose a better forecasting approach, and communicate P50/P85/P95 delivery confidence to stakeholders.

Quick Start

Use the estimation-stinger skill to analyze why our software estimates are inaccurate and recommend an evidence-based forecasting approach.