Find where work waits
See lead time, cycle time, touch time, efficiency, and workflow constraints in context.
TDF turns Jira workflow history into explainable delivery diagnostics—so teams can find constraints, improve predictability, and act with confidence.
TDF connects flow, predictability, quality, and confidence into one coherent view of your delivery system. Every signal is traceable to evidence.
See lead time, cycle time, touch time, efficiency, and workflow constraints in context.
Understand delivery predictability and the strength of the evidence behind each measurement.
Turn operational signals into better questions—not targets, rankings, or metric theatre.
“The delivery system is the unit of improvement. People need insight they can use—not another dashboard judging their performance.”
TDF runs on Atlassian Forge and analyses Jira workflow history inside the Atlassian ecosystem. No external data warehouse. No individual performance scoring.
The framework is diagnostic, transparent, and deliberately non-prescriptive.
Signals describe how work moves through a system. They are not productivity scores.
Conclusions remain connected to definitions, evidence, and calculation context.
Historical context supports learning without turning teams into league tables.
Start with the questions your delivery data should be helping you answer.
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