Methodology
A defensible answer to what your company should do next.
We evaluate your company across the commercial questions real buyers ask, then add requirements through follow-up questions to determine whether the recommendation holds or collapses.
The process
Five steps, the same every time.
- 01
Understand the buyer problem
We begin with the category, buyer, competitor, or selection outcome your leadership team needs to understand.
- 02
Observe the initial recommendation
We determine how major AI platforms interpret the problem, compare alternatives, and form an initial recommendation set.
- 03
Apply requirement pressure
We introduce the security, integration, scale, geography, budget, and operational requirements a real buyer adds as the evaluation advances.
- 04
Observe how the recommendation evolves
We identify the exact follow-up where a company is removed, displaced, or remains the logical choice.
- 05
Prioritize evidence-based decisions
We translate what we observed into a ranked set of decisions: what matters most, what to test next, and what the evidence does not yet support.
The method, shown
A recommendation is built one requirement at a time.
- 01
Initial buyer question
“What is the best customer data platform for a healthcare organization?”
- 02
Initial recommendation
A broad set of enterprise CDPs, before any real requirement is introduced.
- 03
Requirement follow-up
The buyer adds detail: their EHR, where data already lives, who builds audiences, batch or real time.
- 04
The set narrows
Platforms that do not fit the stated architecture drop out.
- 05
More requirements
Compliance, data residency, and activation targets are introduced.
- 06
Final recommendation
It reflects the buyer's complete requirement set, not the opening question. The recommendation evolved because the requirements did.
Illustrative example, shown to explain how commercial evaluation narrows. It is not a record of a specific evaluation and names no companies as an observed outcome. Real, condition-specific runs live in the research library.
What the method does not do. It does not tell you how to game an evaluator, and it does not promise a result. It records what happened under stated conditions and turns it into decisions you can act on. Evidence before opinion.