State Traceability
Every consequential state within the platform shall be traceable.
No consequential state should exist without provenance.
What must remain true
Every consequential state within the platform shall be traceable.
Every conclusion, recommendation, artifact, and decision shall be explainable through the evidence that produced it.
No consequential state should exist without provenance.
Why the principle matters
Every coordination system maintains state.
The quality of a coordination system depends not only upon its current state, but upon the ability to understand how that state came to exist.
Software should therefore preserve the provenance of every consequential state transition.
When state becomes disconnected from the observations, knowledge, and execution that produced it, confidence begins to erode.
State Traceability preserves confidence by ensuring that every consequential state can be understood, reproduced, and explained.
Observing State Traceability
State Traceability can be evaluated by examining the observable condition of the coordination system.
Healthy Signals
- Every consequential state has identifiable provenance.
- Every conclusion can be traced to supporting observations.
- Every Alignment Result identifies the Diagnostic Definition under which it was produced.
- Historical executions remain reproducible.
- Engineers can explain how every consequential state was produced.
Degrading Signals
- State exists without identifiable provenance.
- Conclusions cannot be reproduced from available evidence.
- Business outcomes depend upon undocumented transformations.
- Historical results change without corresponding changes to diagnostic knowledge.
- Engineers cannot explain how a consequential state was reached.
Degrading signals do not necessarily indicate failure.
They indicate that this dimension should be examined before confidence in the platform begins to erode.
Engineering Guidance
When designing or extending the platform:
- Preserve provenance throughout every execution.
- Prefer explicit transformations over implicit mutation.
- Ensure every consequential state can be reproduced.
- Preserve the relationship between observations, diagnostic knowledge, execution, and evidence.
- Never discard information required to explain how a consequential state was produced.
Architectural Review Questions
Before approving an implementation, ask:
- What consequential state is being created?
- Can that state be fully explained?
- What observations contributed to it?
- Which Diagnostic Definition governed its creation?
- Can the same execution reproduce the same state?
- Would this implementation improve or weaken State Traceability?