Working Paper / Component SRD Diagnostic Matrix
Classify the signal. Choose the intervention.
The SRD Diagnostic Matrix classifies each measured signal by response distance and signal complexity. The quadrant placement tells you which intervention pattern actually works — and which would be wasted budget.
Response distance and signal complexity.
Response distance (SRD). Measured delay from signal arrival to organisational response, summed across the six capability stocks. Short SRD means the response is well-instrumented for the signal class. Long SRD means the response is stuck somewhere.
Signal complexity. How much interpretation the signal requires. Low complexity signals are threshold-detectable (above or below a number). High complexity signals require pattern recognition, judgement under uncertainty, or domain expertise to interpret correctly.
The two axes together produce four quadrants, each with its own intervention prescription. Quadrant placement is the diagnostic's compressed output.
Short SRD · Low complexity
Protect what works.
Signals are clear, response pathways are fast, automation can safely reinforce execution. This is where well-run organisations spend their operational discipline — and where the discipline pays off as long as the signal class doesn't move.
Intervention pattern: protect what works. Automate further only where false-positive rates are bounded. Beware feature creep that pulls a Q1 capability into other quadrants without re-instrumentation.
Short SRD · High complexity
Invest in the augmentation layer.
Complexity is high, but response distance is short enough for human–AI teaming and expert judgement. This is the strategic prize — where well-designed augmentation does its hardest, most consequential work.
Intervention pattern: invest in the augmentation layer (analyst tooling, AI-assisted synthesis, decision dashboards). Pair augmentation with anti-overreliance discipline — confident wrong answers cost more here than anywhere else.
Long SRD · Low complexity
Fix the measurement pathway.
The signal is simple — threshold-detectable, low interpretation cost — but the organisation is still slow. The delay is structural. Something basic about how the signal is detected, routed, or actioned isn't working.
Intervention pattern: add the instrumentation that the signal class deserves. Route to decision authority that exists and can move. Almost never AI; almost always disciplined data engineering and process design.
Long SRD · High complexity
Distinguish pathology from posture.
Both interpretation and response are difficult. The intervention has to focus on sequencing, authority, and absorption capacity. This is where the most strategic failure lives — and also where some organisations operate deliberately by long horizon.
Intervention pattern: the diagnostic has to distinguish pathology from posture before the prescription matters. If pathology, address the binding stock specifically — usually Assimilation or Reflexive. If deliberate posture, the diagnostic outputs become input to a transition-readiness review, not an immediate intervention.
Evidence-driven, not impression-driven.
Response distance is the measured delay across the six-stock stack. Complexity is assessed against domain-specific criteria — threshold-detectability, interpretation cost, dependency on tacit knowledge.
A single signal can place differently across time. A signal that was Q1 under a stable operating model can drift to Q3 when the operating model changes and the instrumentation doesn't. The matrix is a snapshot; the placement assumes the current configuration.
Executives who place a signal in Q4 by intuition often discover, after measurement, that the binding constraint is actually Q3 — which makes the intervention much cheaper than expected.