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Board Analytics

3 min read

Board analytics answers two questions about the defects a board holds: is work piling up anywhere, and how long does it take to finish.

It reads the same defects the board does, over a date window you choose.


  1. Open a board.

  2. Select the chart icon (Board analytics) in the header.

  3. Choose 14 days, 30 days, or 90 days.

The window applies to every panel at once. The drawer is read-only — closing it leaves the board exactly as it was.

The charts follow the board: its grouping, and the filters you currently have applied. Narrow the board and the charts narrow with it.


Not every panel suits every board. When one cannot be drawn, Hawzu says why in its place rather than leaving a gap.

PanelShown onNot shown when
Cumulative flowStatus, priority, severity, and assignee boardsRelease boards, custom-field boards, or more than 5,000 matching defects
Defects per releaseRelease boardsAny other grouping
Cycle timeAny board
Time in each statusAny board with closed defects in the windowThere are no samples yet

A stacked area chart with one band per column value, per day.

Read it by the width of each band over time. A band that keeps widening is work arriving faster than it leaves — cards entering that column and not moving on.

Hawzu declines to draw the chart above 5,000 matching defects and asks you to narrow the board first.

Cumulative Flow ChartCumulative Flow Chart
one band per column value per day, over the window you picked

On a release board, this replaces cumulative flow. It is drawn as separate lines rather than stacked bands.


How long defects take from being picked up to being finished.

Four figures head the panel — Median, 75th percentile, 90th percentile, and the number Closed — alongside badges for how many defects are in flight and how old the oldest is, how many have been reopened, and the lead time. Below them, a chart tracks the median and 90th percentile week by week.

  • The clock starts when a defect first moves into In Progress, or at creation if it never passed through that status.
  • It stops at the last close that was not followed by a reopen, so a defect that came back carries the full cost rather than hiding it.
  • Only defects closed inside the window count towards the percentiles.
  • Defects still open count towards in flight and never towards the percentiles.
Cycle Time PanelCycle Time Panel
median, 75th, and 90th percentile cycle time with the weekly trend below

A table of every status the defects passed through, with the average days spent there and the number of defects behind each average.

Read a low sample count carefully — a single slow defect moves a small average a long way.


Anyone who can open the board can open its analytics, including people with read-only access to defects.

Nothing in the drawer can be edited. For trends across a whole project or workspace rather than one board, use Observatory.