Signal v. Noise
Signal reflects reality. Noise amplifies distortion.
Every organization produces both. The distinction matters more now because complexity, decentralization, and AI generate both at far greater volume—and traditional tools can't tell them apart.
Signal comes from decisions that work.
Decisions that reflect current reality. That adapt under pressure. That compound coherence over time instead of creating drift.
Noise comes from decisions shaped by interference.
Incentives that misalign priorities. Fear that suppresses escalation. Ego that distorts judgment. Outdated assumptions baked into automation. Misalignment that creates friction at scale.
Noise scales faster than signal unless you govern it.
Here's the problem: noise forms upstream, long before it shows up in revenue, churn, risk, or performance metrics. By the time dashboards detect it, it's already executing at scale.
Organizations that sustain performance make decision signal visible early. They identify where noise enters the system and intervene before drift becomes irreversible.
The top 6% don't wait for outcomes to break. They govern signal upstream.
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Learn how we measure decision signal → What We Measure
Understand how we help businesses wrangle AI → AI & Decision Governance
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