Grant program was rewarding paperwork, not outcomes.
Restructured the reporting incentive so applicants competed on measurable impact, not narrative length.
For federal, state, municipal, and multilateral teams designing programs, regulations, or policy. We red-team the second-order behavior your impact model is missing — and rewrite the rule so the right behavior is the easy one.
Goodhart's Law isn't an academic punchline. It's the operating reality of every program with a target attached to it. The moment a metric becomes a payment, an audit trigger, or a press number, the population in front of you starts optimizing it — often in ways the original policy memo never imagined.
We bring a structured way to anticipate that drift. Every program is read across the twelve dimensions of the Human Behavior Taxonomy™ and pressure-tested against a catalog of 200+ documented perverse incentives from public-sector deployments worldwide.
Restructured the reporting incentive so applicants competed on measurable impact, not narrative length.
Reweighted reimbursement around 90-day retention. Placement volume held; ghost-rate collapsed.
Replaced the target with a community-outcome composite. Calls dropped; trust scores rose.
Re-tied issuance to verified additionality. Issuance volume fell; integrity premium rose.
Diagnosed the landlord-side disincentive; redesigned the carry, lifted lease-up rates two quarters.
Reweighted to a rider-experience composite. On-time held; complaints fell.
3x floor, guaranteed.
We have seen up to 200x on policy redesigns.
Only 10 engagements.
20 in 2027 across business, government, and orgs.
$100k retainer · $50k sprint.
Annual policy advisory, or a two-week redesign sprint.
Tell us the program, the population, the metric, and what could go wrong.
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