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Platform module

Work Periods

Analyze sprints and predefined work periods

Analyze delivery across sprints, epics, and milestones

The Work Periods module tracks performance across defined units of work—such as sprints, epics, releases, or custom timeframes. It provides a structured view of how tasks move through your delivery process within each period, helping teams identify patterns, blockers, and inefficiencies.

Stage-by-Stage Flow

Visualize the distribution of tasks across process stages—Backlog, In Progress, In Review, Blocked, Done, and more. Monitor how work accumulates, advances, or stalls within a given sprint or epic.

Completion Trends

Track what percentage of work is completed during each period, and identify how much remains in early or mid-stage states. Use these insights to adjust scope or improve flow in future planning cycles.

Bottleneck Detection

Identify stages where work routinely gets stuck or delayed. Understand whether issues are caused by capacity constraints, review cycles, or unclear handoffs.

Team Performance Insights

Compare progress across teams or periods to evaluate consistency, velocity, and planning accuracy. Use this data to inform retrospectives and improve iteration planning.

Who benefits

Scrum Masters and engineering managers use Work Periods to evaluate sprint performance and identify where teams are falling behind. Product managers track epic progress to ensure alignment with delivery goals. Leadership teams use it to monitor initiative health and assess execution against planned timelines.

How it works
  1. Define work periods by sprint, epic, milestone, or custom range.
  2. Track how tasks move through your delivery stages in each period.
  3. Visualize stage breakdowns and completion rates over time.
  4. Identify recurring slowdowns or incomplete work patterns.
  5. Act by adjusting planning, team velocity, or scope for future cycles.

With Work Periods, teams can move beyond static sprint reports to dynamic, process-aware insights that drive better delivery over time.

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