Skip to main content
Research and systems design work in progress
The Methodology

Research first. Systems always. Evidence, not assumptions.

Every engagement starts with the same question: what does the data actually show? Not what we assume, not what feels right, what the research confirms. That's the foundation every recommendation is built on.

How I Work

Four principles that shape every engagement.

These aren't values statements. They're the structural commitments that determine how the work gets done and why the findings hold up under scrutiny.

01
Research before recommendations
I don't arrive with a copy and paste framework and map your organization into it. I study what's actually happening in your acquisition and conversion architecture before forming any hypothesis about what's broken.
02
Systems over features
A broken user interface is rarely the root problem. The root problem is usually a missing connection between a design decision and a business outcome. That's a system problem, and it requires a diagnosis of the system.
03
Human-centered design meets revenue architecture
The best design work in healthcare tends to be illegible to business leadership without a strong translation layer. My work builds that layer, connecting patient acquisition experience research to revenue data in language the C-suite can understand and act on.
04
AI as a strategic partner, not a productivity shortcut
I use AI the way a researcher uses a thinking partner: to pressure-test hypotheses, surface patterns across large data sets, and accelerate synthesis, not to replace the judgment that comes from deep domain knowledge.
In Practice

The principles aren't abstract. They're the Assessment.

Every step of the Growth Architecture Assessment is a direct expression of this methodology. The intake is designed to surface what the data actually shows. The interviews are structured to capture what the org chart doesn't. The report translates all of it into a language your CFO and CEO can act on.

Structured before subjective
The diagnostic intake is designed to collect data before forming hypotheses. The interview questions are structured to avoid leading the witness. The report sequence is prioritized by revenue impact, not by what's easiest to fix.
Quantified, not qualified
Every gap in the Assessment is expressed as a revenue figure, not a design observation. "Your post-consult drop-off represents X in recoverable annual revenue" is a decision point, not a recommendation.
Built on the research from 200+ private surgical practices
The benchmarks, patterns, and diagnostic criteria in the Assessment aren't theoretical. They're derived from researching patient acquisition architecture across 200+ surgical and self-pay healthcare practices.
On AI in Healthcare

AI is a force multiplier. Not a replacement.

The healthcare AI conversation is happening in two directions at once. One is about how AI can make care better. The other is about how AI can make care cheaper by replacing the humans who deliver it. These are not the same conversation, and I don't treat them as if they are.

The risk is not that AI will make healthcare worse. The risk is that organizations will use AI to strip out the human judgment that makes healthcare work, and then be surprised when patient outcomes deteriorate and trust erodes. The question is not whether to use AI. It's what you use it for.

"AI should make the humans in the room significantly better at their work. The human drives the strategy and makes the judgement call because they bear the responsibility for the outcomes AI produces, since you can't currently sue an AI."

AI Augments. Humans Decide.
In healthcare, the cost of a wrong decision is borne by a person. That means the human stays in the loop for decisions that affect patient outcomes. AI can surface patterns, synthesize data, and communicate at scale. It cannot hold accountability. That remains with the clinician, the designer, the administrator.
Force Multiplier in Practice
A designer with AI can research 200+ practices in the time it would have taken to study 10. A care coordinator with AI can personalize follow-up at a scale that was previously impossible. The output is better. The human is still the author. That's what ethical AI integration looks like at the systems level.
Where the Risk Lives
The danger is not AI itself. It's organizations that use AI to cut the humans who hold the relational and ethical weight of care in the name of efficiency. A cost-reduced system that erodes trust is not more efficient. It's just faster at losing patients.
How I Lead

Loyalty is the operating principle.

That word gets softened in professional contexts into "client-first" or "partnership approach" or "stakeholder alignment." I mean something more specific. Loyalty in the work I deliver means you can trust what I tell you, even when it costs me.

Loyalty means I tell you what's true even when it costs me the engagement or future work. It's not a brand value. It's the structural commitment that determines how I conduct the intake, how I write the Diagnostic Report, and what I say in the Executive Readout when the findings are hard to hear.

Honesty Over Agreement
The 30-minute call includes a genuine assessment of whether this is the right fit, not a pitch. The Diagnostic Report says what the data shows, not what would make you more likely to hire me next. If the finding is that the problem is smaller than you feared, I'll say that. If it's larger, I'll say that too.
Fixed Scope as Loyalty
The Assessment stands alone. I don't extend engagements because it's profitable. If further work makes sense, that conversation happens after the readout, with the evidence in hand and with no pre-packaged retainer already written into the proposal. You should be able to take the deliverable and walk away or move to another engagement if the work and the relationship makes sense.
Showing Up to the Hard Parts
The parts of a diagnosis that are difficult to hear are the parts that matter most. I don't soften them into irrelevance or bury them in qualification. You hired me for clarity. Loyalty means I deliver it, especially when the findings are uncomfortable.
Ready to apply it

The Assessment is where the methodology meets your organization.

A 30-minute call to determine fit. No pitch. Just a direct conversation about what you're navigating and whether this engagement makes sense.

Book a 30-Min Call No obligation · No sales deck · Just the right conversation