Stimulus
Nothing gets discussed in the abstract. I build something a consumer can react to in days, not quarters.
Real enough to provoke an opinion. Not real enough that anyone gets attached to it.
Fourteen years across the full product lifecycle — framing the problem, proving demand through research, partnering with engineering, design and data science to ship the MVP, then leading the roadmap, governance and rollout that take it to scale.
Built data-backed business cases that won executive investment for new growth concepts.
Led strategy at the extremes — billing for 95M telecom subscribers, a 2.4M-member Medicare portal.
Ran rapid, AI-enabled research to validate demand, shape design and de-risk investment.
Aligned engineering, design, legal and business teams into one enterprise roadmap.
Validating before building saves money, de-risks the business case, and surfaces the risks that need to be solved before development starts — not after launch.
Four phases. Each one buys the right to spend more. Click through — the artifact on the right gains fidelity as the evidence does.
Nothing gets discussed in the abstract. I build something a consumer can react to in days, not quarters.
Real enough to provoke an opinion. Not real enough that anyone gets attached to it.
Then I put the artifact in front of real consumers and ask the same five questions every time.
The artifact tightens where consumers stumbled. Everything else stays rough on purpose.
Only now does anyone write production code. The MVP carries the smallest slice of value that can be measured.
Production-grade in the path that matters. Deliberately thin everywhere else.
Scaling is its own product problem: governance, roadmap, and the operating model that keeps the thing honest.
Live, instrumented, governed. The experiment loop keeps running underneath it.
Greyboxed value proposition. One headline, one promise, one button — enough to measure comprehension and intent to click.
Three cells, one variable. The paywall exists to find the number people flinch at, not to sell anything.
Current-state flow with the friction marked. Consumers point at the step that matches their own experience.
Four panels: the problem, the moment of friction, the intervention, the payoff. Panel three is the one under test.
Illustrative synthesis. In practice this is mixed-method, AI-assisted, and read out weekly to the people holding the budget.
Search a procedure, see your real out-of-pocket cost against your plan, and book the option that costs less.
Invented product, real discipline: one flow, one audience, measured from first search to booked appointment.
| Georgia | Live |
| Ohio | Live |
| Texas | Q3 |
| New York | Held |
Governance, OKRs and a live instrument panel — plus the next stimulus already in test underneath.
1,350+ consumers across multiple studies shaped the value proposition, target market and MVP scope. $5M+ funded to start development.
Reps send a link; customers confirm cost and bill impact themselves. $6.5M+ in annual savings and far fewer disputed orders.
Machine learning on purchase propensity and journey friction, turned into a three-year roadmap with 10+ organizations aligned.
I validate the idea, build it with the team, and stay through scale — with the evidence to show which decisions were earned and which were avoided.