Backlog Age Distribution

A large backlog is one thing. A large backlog full of old, untouched tickets is another. This visual breaks your open backlog down by age — how long each issue has been sitting without any status movement — so you can see not just how big the pile is, but how deep the problem runs.

Fresh issues (0–7 days) are normal backlog intake. Frozen issues (30+ days without movement) are structural drag — they accumulate overhead, distort sprint planning, and often represent work that was never truly prioritized in the first place.

What you can conclude

• A large frozen bucket is the clearest signal of a backlog problem — these issues are occupying planning space without any prospect of delivery.
• If frozen issues dominate a specific project, that project's backlog needs a deliberate grooming session, not just faster delivery.
• A backlog where most issues are fresh (0–14 days) indicates a team that grooms regularly and keeps its queue lean.

How this chart works

Stacked bar chart grouping all open issues by age since their last status transition, across four buckets: fresh (0–7 days), aging (8–14 days), stale (15–30 days), and frozen (30+ days). Grouped by project. The Y-axis shows absolute issue counts. Each segment is labeled with its count directly.

When frozen issues represent more than 50% of open issues in any project, an amber warning banner is shown above the chart.

Use the date and project filters to focus on a specific snapshot in time or team.