01 / FLOW
Find where work waits
See lead time, cycle time, touch time, throughput, time in status, and workflow constraints in context.
Team Diagnostic Framework
Know whether delivery can be trusted.
See how work really flows, where predictability breaks down, and what the evidence says about the health of the delivery system.
TDF turns delivery evidence into explainable diagnostics so teams and leaders can understand constraints, improve predictability, and make better-informed decisions.
Illustrative data
Flow healthHealthy
82
Predictability↑ 8%
76%
Measurement confidenceCoverage
Strong
Evidence sufficient for interpretationFrom data to decisions
Metrics tell you what happened. Diagnostics help explain why.
TDF connects related delivery signals and preserves their evidence context so a metric becomes the start of an investigation rather than the end of a report.
02 / CONFIDENCE
Know what you can trust
Separate what delivery signals suggest from how much confidence the underlying measurement evidence deserves.
03 / IMPROVEMENT
Focus the next investigation
Turn operational signals into better questions—not targets, rankings, or metric theatre.
Who TDF is for
Different questions. One delivery system.
The same evidence should support different decision contexts without creating separate performance scorecards for teams and leaders.
ENGINEERING / TEAM LEADS
Where is the system creating friction?
Understand where work waits, what disrupts flow, and where rework or quality pressure may be emerging.
PRODUCT / DELIVERY
How dependable is delivery?
Understand predictability, constraints affecting commitments, and the kinds of work consuming delivery capacity.
CTO / LEADERSHIP
Can the delivery picture be trusted?
Understand systemic risk, forecast confidence, and whether speed, quality, predictability, and value are moving in a healthy direction.
From signal to diagnostic
A measurement should lead to investigation—not blame.
A diagnostic connects a signal to supporting evidence, a bounded interpretation, and the next useful questions.
Signal
Review accounts for 31% of measured workflow time.
Evidence
The pattern occurs across multiple completed items and persists across recent periods.
Interpretation
Review is acting as a recurring queue in this workflow.
Investigate
Review availability, batching, hand-offs, ownership, and WIP arriving into review.
Not the conclusion
“The reviewers are too slow.”
One idea, three ways to use it
Framework. Services. Product.
TDF is bigger than a Jira application. The methodology defines intent, services apply it with people, and the product makes selected diagnostics available where teams work.
FRAMEWORK
The diagnostic methodology
Defines the lenses, measurement intent, evidence principles, and diagnostic approach.
SERVICES
Human-led diagnosis
Apply TDF to a real delivery context to identify supported findings and useful areas for investigation.
PRODUCT
Delivery Diagnostics for Jira
A Forge-based implementation of selected diagnostics using workflow evidence already held in Jira.
A TDF differentiator
Not every metric deserves the same confidence.
A lead-time result built from complete workflow history and correctly configured boundaries is different from one built from partial or fallback evidence.
TDF keeps the result connected to measurement context so users can understand both what the signal says and how confidently it can be interpreted.
Evidence contextIllustrative dataLast 90 days
Delivery confidenceHighSignals are comparatively stable
Measurement confidenceStrongEvidence coverage sufficient
Flow-start coverage96%configured / supported
InterpretationSupportedwith stated context
Built on principles that protect trust.
The framework is diagnostic, transparent, and deliberately designed to avoid turning delivery evidence into people metrics.
01
Measure systems, never individuals.
Signals describe how work moves through a delivery system. They are not productivity scores.
02
Explain every diagnostic.
Conclusions remain connected to definitions, evidence, and calculation context.
03
Improve, don’t compare.
Historical context supports learning without turning people or teams into league tables.
Ready for a clearer delivery conversation?
Start with the questions your delivery evidence should be helping you answer.
Start a conversation ↗