The Challenge
Multiple Scrum and Kanban teams consistently missed commitments. Story-point velocity created false confidence, forecasts were optimistic, and leadership had little visibility into real delivery risk. Escalations increased and trust in planning eroded.
The Approach
I replaced velocity-based forecasting with flow-based probabilistic forecasting using historical cycle time data.
WIP limits were stabilized, aging work was surfaced, and forecast ranges were communicated in confidence intervals instead of single-point commitments.
Decision guardrails were introduced to reduce last-minute scope changes and escalation loops.
The Outcome
Commitment reliability improved from ~10% to 80%+ within two quarters.
Forecasts became data-backed and confidence-based, enabling more accurate roadmap planning and capital allocation.
Escalations decreased, and leadership regained trust in delivery commitments.
The Challenge
Multiple Scrum and Kanban teams consistently missed commitments. Story-point velocity created false confidence, forecasts were optimistic, and leadership had little visibility into real delivery risk. Escalations increased and trust in planning eroded.
The Approach
I replaced velocity-based forecasting with flow-based probabilistic forecasting using historical cycle time data.
WIP limits were stabilized, aging work was surfaced, and forecast ranges were communicated in confidence intervals instead of single-point commitments.
Decision guardrails were introduced to reduce last-minute scope changes and escalation loops.
The Outcome
Commitment reliability improved from ~10% to 80%+ within two quarters.
Forecasts became data-backed and confidence-based, enabling more accurate roadmap planning and capital allocation.
Escalations decreased, and leadership regained trust in delivery commitments.