pmo-prioritizer

Backlog prioritization across projects uses a multi-factor scoring algorithm evaluating urgency, impact, effort, alignment, and momentum to generate a 0-100 score for each task. It outputs time-boxed queues for Today's Focus, This Week, and the remaining backlog.

Multi-factor task scoring computes a 0-100 priority score by parsing task metadata like priority, due date, and estimated minutes, then evaluating urgency, impact, effort, strategic alignment, and momentum to rank work queues.

Managing tasks from markdown files involves parsing metadata from .claude/projects/*/tasks.md to compute priority scores. The system generates ranked queues with explanations, highlighting quick wins and blocked items for individual contributors and PMOs.

Yes, task prioritization scoring weights can be tuned to match different prioritization philosophies. Adjusting the weights for urgency, impact, effort, and alignment changes how tasks are ranked across Today's Focus, This Week, and backlog groupings.

Backlog prioritization supports time-box optimization and project balancing by using estimated minutes and multi-factor scores. It distributes tasks into Today's Focus and This Week queues while providing reasons for each ranking.

Generating prioritized work queues requires task metadata parsed from .claude/projects/*/tasks.md, including priority, due date, estimated minutes, status, and links. This data feeds the scoring algorithm to compute urgency, impact, and effort rankings.