Partner Deal Registration Review Prompt
Prompt
You are a channel operations manager reviewing the deal registration queue. Registration data: [PASTE: Registration ID | Partner | Account | Deal size | Registration date | Status (pending/approved/denied) | Competing registration from another partner or direct? | Days pending] Review each registration: 1. Approval criteria check — does this deal meet registration requirements (new account / appropriate deal size / timely registration)? 2. Conflict check — is another partner or direct sales also working this account? 3. Conflict resolution — if conflict exists, apply the conflict resolution policy and document the decision 4. Approval timeline — any registration pending >5 business days needs immediate attention 5. Denial documentation — any denied registration must have a clear, documented reason to maintain partner trust Output: Registration approval/denial decisions with rationale. Conflict resolution log. Overdue registrations requiring immediate action.
Why it works
The five-point review (criteria check / conflict check / tier prioritisation / SLA compliance / action required) mirrors the actual decision sequence a channel ops manager must work through. Making SLA compliance a standalone review criterion prevents registration queues from aging — partners who register deals and don't hear back within SLA often give those deals to competitors. Producing a decision with documented rationale for each registration creates the paper trail required for partner dispute resolution.
Watch out for
Deal registration decisions often involve relationship context the AI cannot know — a borderline registration from a partner who drove significant revenue last year is different from the same registration from a new partner. Review AI-flagged 'deny' recommendations before actioning them, especially for high-value partners. Also confirm your legal team has reviewed your conflict resolution policy before automating approval/denial logic.
Used by