Who it's for

HTMA Measure is for people using AI agents to support decisions under uncertainty—not merely to generate plausible prose.

Strong fits

Product and project leads

Use it to estimate delivery cost, implementation effort, adoption, downside risk, or the likely value of a feature before committing resources.

Consultants and operators

Use it to size budgets, compare vendor scenarios, estimate a likely paid quote, or show a client which unknown matters most.

Founders and investors

Use it for market sizing, unit economics, revenue ranges, runway decisions, and calibrated downside cases.

Community and nonprofit organizers

Use the local paid-quote adjustment when public retail or corporate rates do not reflect relationship pricing, simplified scope, local pickup, sponsorship goodwill, or nonprofit discounts.

Researchers and analysts

Use it when a small sample, reference class, or source-quality audit can narrow uncertainty without pretending the available evidence is stronger than it is.

Weak fits

Do not reach for this skill when:

• an exact current value is available from an authoritative lookup;
• the question has no decision attached to it;
• the answer depends on a private fact the user has not supplied;
• the identifier, jurisdiction, or effective date is missing; or
• the user needs bookkeeping or factual retrieval rather than estimation.

In those cases, the skill returns a blocked or lookup-required status instead of inventing a numeric interval.