The Best Ones Are Grading You Back
In any market for scarce, in-demand participants, the best ones are scoring you back.
Confidence: hypothesis. The failures below are drawn from published economics and widely reported industry patterns, not firsthand deployment. The pattern at the end is an argument, not a shipped system. Argue with it.
You think you are selecting them. They are also selecting you. Any process where you pick from a pool of capable, in-demand participants is not a one-way evaluation. It is a market with two sides, and the side you most want to work with is grading you at least as carefully as you are grading them. Treat it as a one-way procurement exercise and you will keep losing the ones you wanted most, and never quite understand why.
Clinical trial sites make this easy to see.
The clinical why
A sponsor grades sites on their enrollment potential, their data quality, their startup speed. Fair enough. But the good sites grade sponsors right back, and they grade hard. On how heavy the protocol is to run. On how fast the sponsor pays. On how many unnecessary data queries the last study generated, because query volume is a reputation and coordinators remember it. On whether the last study wasted their time.
This pattern is one piece of a longer treatment. The full essay is issue 6 of Stage × AI, a series walking the entire clinical-trial lifecycle stage by stage — what each stage really does, where AI helps, where it must not go, and one buildable pattern per stage:
full essayEvidence in, evidence out. Corrections welcome.