Bullzeye Global / Our Method / Healthcare Growth Intelligence
The evidence engine inside the Bullzeye 3D Framework. Bullzeye 3D decides how growth operates. Healthcare Growth Intelligence decides what evidence those decisions are built on.
Decisions made on clinical-market reality, not data borrowed from other industries.
— Why It Exists
Healthcare growth teams often rely on evidence systems designed for broader consumer or B2B markets. Generic funnel metrics, keyword volumes, and campaign analytics capture only part of what determines whether a healthcare company grows: how a clinical buying committee reaches a decision, which key opinion leaders move a category, what evidence a physician needs before adopting, and whether an AI engine will cite the company when a clinician or patient asks.
A healthcare company that makes strategic choices on generic marketing data is making them half-blind. Healthcare Growth Intelligence closes that gap, so the gates of the 3D model are cleared on evidence that reflects how this market actually behaves.
— What It Supplies
Each type of intelligence answers a specific question and feeds a specific dimension of the Bullzeye 3D Framework.
| Intelligence type | What it answers | Feeds |
|---|---|---|
| Market & category | What position is credibly ownable, and where the category is heading | Differentiate |
| Buyer & committee | How clinical buying decisions actually get made, and who influences them | Differentiate, Disrupt |
| Competitive & narrative | Where leaders are vulnerable, and which belief can be changed | Disrupt |
| Behavioral, search & citation | What the market and AI engines actually respond to | Discover |
| Commercial performance | What is converting to pipeline and revenue, and what is not | Deploy |
— The Method
Naming categories of intelligence is the easy part. Turning scattered signals into evidence a leadership team can decide on is the hard part. Every signal runs through the same loop.
From clinical buyers, search behavior, competitive narratives, AI citations, and commercial performance.
Buyer, market, authority, or revenue. Every signal is filed to what it informs.
More than one source type before a signal is treated as evidence. A single source is a lead, not a finding.
Directional, supported, or decision-grade. Naming the grade stops a hunch from being dressed up as a fact.
Tie the evidence to a specific 3D gate and record which decision it informs.
Compare the decision to in-market results during Discover and Deploy, and regrade when the market disagrees.
— The Standard
A grade only means something if it has a standard behind it. Otherwise a company can label anything decision-grade and the consequence-by-reversibility principle becomes decoration.
| Grade | Minimum standard | Appropriate use |
|---|---|---|
| Directional | One credible source, limited corroboration, assumptions documented | Low-cost, reversible tests |
| Supported | Multiple source types point the same way, contradictions reviewed, material assumptions identified | Moderate commitments and prototype investment |
| Decision-grade | Independent triangulation across the evidence types relevant to the decision; material contradictions explained, bounded, and recorded as residual risk; a named owner approves the record | High-cost, hard-to-reverse strategic commitments |
— The Connection
The grade is not academic. It is the link between Healthcare Growth Intelligence and the Judgment Layer. The evidence grade a decision requires is set by its consequence and reversibility: a cheap, reversible call can proceed on directional evidence, while an expensive, hard-to-reverse commitment cannot clear its gate on anything less than decision-grade.
Healthcare Growth Intelligence produces the grade. The Judgment Layer decides what grade the decision in front of the company actually demands. Together they make sure the weight of the evidence matches the weight of the decision.
— Common Questions
Start Here