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Signal Architecture
A system for separating consequential market movement from noise.
Signal
CONNECTED ENTERPRISE MODELA framework is useful when it makes a complex decision visible without pretending it is simple.
Why the model exists
Teams collect evidence in different formats and time horizons, then debate conclusions without exposing how each signal affects a decision. Signal Architecture creates a common path from observation to interpretation, threshold and action.
Dimensions it makes visible
The dimensions create shared language without reducing the decision to a formula.
- ✓ Source reliability: direct evidence, proxy or opinion
- ✓ Time horizon: immediate, emerging or structural
- ✓ Decision relevance: which belief or commitment may change
- ✓ Threshold: watch, investigate, experiment or act
Questions for using it
The model begins with questions that expose assumptions and boundaries.
- ✓ Which signal changed a decision in the last quarter?
- ✓ Where do two functions interpret the same evidence differently?
- ✓ What would make the current thesis untenable?
- ✓ Who owns synthesis across sources?
Where it creates value
Use the model to design executive sensing, market reviews, strategic early-warning systems and the evidence layer for a growth thesis.
Evidence that it is working
These signals show that the model changed the decision, not only the conversation.
- ✓ Fewer signals with named consequences
- ✓ Faster movement from anomaly to investigation
- ✓ Documented changes to the growth thesis