The 7 Layers of Intent™
A vertical taxonomy that moves from surface signals toward the deeper psychological motivation behind a decision.
Explore framework →Attention tells us where people are looking. Data tells us what they have done. Intent tells us where they are trying to go.
The Attention Economy monetized distraction. The Intent Economy monetizes volition.
Value moves from impressions toward fulfillment; from interruption toward anticipation; from retention at any cost toward the efficient completion of a meaningful objective.
Detect latent signals before they become market trends.
Measure the velocity and magnitude of intent signals.
Align organizational capability with market direction.
Deploy resources to capture value at the point of origin.
Move from retrospective analytics—what happened—to predictive intent modeling: what is forming now.
Value increasingly depends on networked fulfillment across platform and organizational boundaries.
The strongest systems increase user agency rather than maximizing passive screen time.
A vertical taxonomy that moves from surface signals toward the deeper psychological motivation behind a decision.
Explore framework →Identifies non-linear patterns that signal readiness to transact, commit, change or act.
Explore framework →The enterprise architecture required to ingest, process and activate intent at scale.
Explore framework →A diagnostic for locating the resistance that destroys otherwise valid intent.
Explore framework →A circular growth model where fulfilled intent creates momentum for the next successful action.
Explore framework →A way to understand how intent is valued, mispriced and competed for inside a market.
Explore framework →AI designed to anticipate and resolve needs—not simply generate content.
Explore framework →Privacy and agency architecture that makes trust a competitive advantage.
Explore framework →A management cadence designed for faster signal recognition and continuous adaptation.
Explore framework →A quantitative readiness model for identifying capability gaps and strategic friction.
Explore framework →A vertical taxonomy that moves from surface signals toward the deeper psychological motivation behind a decision.
A vertical taxonomy deconstructing user behavior from surface-level signals to core psychological motivations. The model moves beyond what happened to why it happened, distinguishing shallow curiosity from increasingly consequential levels of commitment.
Used to qualify leads, calibrate messaging depth and determine how much evidence, reassurance or action architecture a person needs before moving.
Identifies non-linear patterns that signal readiness to transact, commit, change or act.
Just as an individual has a biometric fingerprint, high-value decisions are often preceded by a recognizable behavioral signature. The framework looks for combinations of signals—not isolated clicks—that indicate readiness to transact, commit, change or act.
Useful for predictive modeling, lead qualification, anomaly detection and designing experiences around genuine readiness rather than generic engagement.
The enterprise architecture required to ingest, process and activate intent at scale.
The Intent Stack™ is the architectural blueprint for an intent-aware enterprise: the data, intelligence, workflow and activation layers required to move from raw signal to interpretable intent and then to an appropriate response.
Used for technology-stack audits, infrastructure planning, workflow design and determining where intent data is being lost between systems.
A diagnostic for locating the resistance that destroys otherwise valid intent.
Intent behaves like force and friction behaves like resistance. This diagnostic examines where a valid desire to act is weakened by interaction friction, cognitive friction, emotional friction or organizational delay.
Applied to customer journeys, internal workflows and service systems to identify exactly where motivated people are being slowed, confused or lost.
A circular growth model where fulfilled intent creates momentum for the next successful action.
Linear funnels treat conversion as an endpoint. Intent Loops model fulfillment as the beginning of the next cycle: one successful action increases trust, context and momentum for the next meaningful action.
Used in retention strategy, ecosystem design, lifecycle planning and customer experience models that optimize for continuing success rather than one-time extraction.
A way to understand how intent is valued, mispriced and competed for inside a market.
A macro-economic view of how intent is traded, valued and effectively arbitraged within a category. The framework looks for places where valuable intent is under-served, mispriced as mere attention or over-saturated by competitors chasing the same signals.
Supports market-entry strategy, opportunity sizing, competitive positioning and decisions about where an organization should stop competing for attention and begin fulfilling unresolved intent.
AI designed to anticipate and resolve needs—not simply generate content.
Intent-Native AI shifts the role of artificial intelligence from content generation toward anticipation and execution. The system uses context, patterns and constraints to prepare or complete the path toward an intended outcome.
Applied to agent design, AI product roadmaps, automation strategy and machine-readable services built for a world where software agents increasingly act on behalf of people.
Privacy and agency architecture that makes trust a competitive advantage.
The Sovereignty Layer™ treats privacy, consent and user agency as architecture rather than a compliance afterthought. It asks how a system can deliver useful personalization while minimizing unnecessary exposure and preserving control.
Used in data governance, trust architecture, consent design and privacy-first products where confidence in the system is itself part of the value proposition.
A management cadence designed for faster signal recognition and continuous adaptation.
Quarterly planning cycles are often too slow for high-velocity environments. The Intent Operating Rhythm™ restructures management cadence around faster signal recognition, shorter decision loops and continuous adaptation without abandoning strategic direction.
Applied to leadership operating systems, transformation programs, portfolio reviews and organizations that need to respond to changing conditions without becoming reactive.
A quantitative readiness model for identifying capability gaps and strategic friction.
The Intent Diagnostic Index™ is a quantitative scorecard for benchmarking how prepared an organization is to recognize, preserve and fulfill intent. The broader model evaluates variables across technological agility, data sovereignty, frictionless design and cultural clarity.
Used for executive benchmarking, transformation prioritization and establishing a measurable baseline before significant strategic, technology or operating investment.