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Understandings, beliefs, and readiness gates for a Revenue Zone
I get a structured definition of my Revenue Zone for one product: exactly three understandings and three beliefs (each mapped to demand or trust) plus the budget and impending-event readiness questions, so my team and partners share one bar for 'ready to buy'.
You receive: A JSON object { product: string, understandings: [ { statement, axis (enum: demand|trust) } x3 ], beliefs: [ { statement, axis } x3 ], readiness_gates: { budget_question: string, impending_event_question: string } }
Part of Build a Sales Engine, Grow Partnerships
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Example
A sample of what this play produces. Your result is generated for your inputs.
Understandings
| Statement | Axis |
|---|---|
| Agents can already produce real knowledge work such as registers, briefs, and calculators today. | demand |
| Unverified AI output cannot be safely paid for until it is checked against clear, frozen criteria. | demand |
| STUD freezes each play's acceptance criteria before any work starts, so the check is defined in advance. | trust |
Beliefs
| Statement | Axis |
|---|---|
| A platform-owned judge, not the vendor's own claim, is what makes an agent's output payable. | trust |
| There is real work today that fits a $20 to $60 monthly credit budget instead of a full hire. | demand |
| Frozen acceptance criteria protect a buyer from paying for output that only looks correct. | trust |
Readiness gates
Get early access to STUD the day it goes live.