Flow metrics (CFD)
Cumulative flow diagrams with the flow metrics derived from the same data. Give it a date column and one cumulative count per workflow stage and it draws the stacked bands, then computes approximate WIP, average cycle time via Little's Law, throughput and flow efficiency, and marks where WIP ran away from throughput. The chart Kanban teams screenshot, with the four numbers they actually manage against.
In the same space
Most users come to Flow metrics (CFD) from Jira control charts, Actionable Agile, Nave or Excel CFDs. flowss runs this engine in the browser — no install, shareable via URL, exportable to PNG / SVG / PDF / source.
Syntax at a glance
stages: Backlog, In progress, Review, Done
2024-07-01 | 120, 6, 2, 0
2024-07-08 | 132, 7, 3, 14Paste this in the Studio code pane to see Flow metrics (CFD) render live. The full grammar is at the upstream-docs link above.
Sample templates
All 13 →Ten weeks of a platform team's Kanban board, computing WIP from the commitment point, weekly throughput, Little's Law cycle time and the flow efficiency lost to the review queue.
Three weeks of inbound support tickets sampled on alternate weekdays: resolution holds near 236 a week while the untriaged pile swells from 18 to 138 and the working WIP limit is breached.
Eight months of open engineering requisitions from approval to filled, computing time-to-fill via Little's Law and exposing the interview loop as the stage whose queue never stops growing.
Ten production days on an injection-moulding cell, computing a 0.3-day flow time through the cell at 77% efficiency while the raw-stock buffer ahead of it grows every single shift.
A six-stage video studio sampled fortnightly, showing 80% flow efficiency on commissioned work while the uncommissioned idea backlog inflates from 32 to 47 titles.
Twelve days of emergency admissions from decision-to-admit to discharge: 3.3 days in the system at 18% flow efficiency, with the corridor wait and the delayed-discharge queue both growing daily.
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