Predictive Analytics & Agile Forecasting

Cornerstone

Monte Carlo Forecasting for Azure DevOps: A Practical Guide

How to replace gut-feel sprint estimates with probabilistic forecasts grounded in your team's actual throughput history. Includes worked example and stakeholder communication scripts.

12 min read · Predictive Analytics

Methodology

Why Velocity Averaging Fails (And What to Use Instead)

Velocity is a popular forecasting metric, but it conflates speed with reliability. Here's why averaging it doesn't predict the future — and what does.

8 min read · Forecasting

Backlog quality

INVEST Framework: Quality Scoring Beyond the Checklist

Most teams treat INVEST as a binary refinement gate. Treat it as a weighted scoring system instead — and watch sprint outcomes improve.

10 min read · Backlog Management

Stakeholders

P50, P85, P95 — Reading Probabilistic Delivery Forecasts

Three numbers, three commitments. How to translate Monte Carlo outputs into the language stakeholders trust without over-promising.

7 min read · Communication

Data quality

Throughput Outliers: IQR Detection & AI Semantic Adjustment

One explosive sprint shouldn't skew your delivery forecast. How to detect and handle throughput outliers, plus when AI semantic adjustment helps.

9 min read · Data Quality