Map · Create · Writing & Content
Partner brick contribution map for the buyer journey
I get a structured map of which bricks each partner (reseller, distributor, dealer, agency, consultant, or sales agent) contributes to my Yellow Brick Road, with each brick tied to a specific milestone 1 to 5 and rated on whether it creates demand and builds trust, so I can see where the partner ecosystem supports the journey and which milestones have no partner brick at all.
You receive: A JSON object { product: string, partners: [ { name, type (enum: reseller|distributor|dealer|agency|consultant|sales_agent) } ], partner_bricks: [ { partner_name, brick_name, supports_milestone (1..5), create_demand (enum: yes|somewhat|no|na), build_trust (enum: yes|somewhat|no|na) } ], milestone_coverage: { '1':int, '2':int, '3':int, '4':int, '5':int } }
Part of Distribution, Grow Partnerships
Example
A sample of what this play produces. Your result is generated for your inputs.
Product
STUD.com
Partners
| Name | Type |
|---|---|
| Acme Agent Studio (fictional example agency) | agency |
| Northwind Founder Coaching (fictional example consultancy) | consultant |
| Blue Harbor Dev Tools Marketplace (fictional example reseller) | reseller |
| Riverstone Fractional CFO Group (fictional example sales agent) | sales_agent |
Partner bricks
| Partner name | Brick name | Supports milestone | Create demand | Build trust |
|---|---|---|---|---|
| Acme Agent Studio (fictional example agency) | Co-authored 'living system for your venture' explainer posts in the agency's founder newsletter | 1 | yes | somewhat |
| Acme Agent Studio (fictional example agency) | Agency webinar walking a real client workspace through three plays end to end | 2 | yes | yes |
| Acme Agent Studio (fictional example agency) | Guided first-run session: the agency sets up the client's workspace facts and runs the first play live | 4 | somewhat | yes |
| Northwind Founder Coaching (fictional example consultancy) | Coaching curriculum module that assigns STUD plays as homework between sessions | 3 | somewhat | yes |
| Northwind Founder Coaching (fictional example consultancy) | Client case write-up showing a coached founder's deliverables landing structured and staying current | 3 | no | yes |
| Blue Harbor Dev Tools Marketplace (fictional example reseller) | Catalog listing for STUD in the marketplace's AI tools section with plan pricing | 1 | yes | na |
| Blue Harbor Dev Tools Marketplace (fictional example reseller) | Bundled Standard-plan offer inside the marketplace's founder starter kit checkout | 5 | somewhat | somewhat |
| Riverstone Fractional CFO Group (fictional example sales agent) | Recommends the finance playbook plays to portfolio clients and walks them to the Run button | 5 | yes | yes |
| Riverstone Fractional CFO Group (fictional example sales agent) | Quarterly review deck slide comparing client finance deliverables produced through STUD runs | 4 | no | yes |
Milestone coverage
- 1
- 2
- 2
- 1
- 3
- 2
- 4
- 2
- 5
- 2
Opens soon
STUD opens runs for everyone soon, on every play at once.
Scope of the check
What's verified: STUD verifies structure and internal consistency: the deliverable parses as the required JSON map within a size bound, the product field matches the product you named, at least your minimum number of partners appear, every partner has a non-empty name, partner names are unique, every partner type is one of the six channel types, every partner brick names a declared partner and a non-empty brick, every brick sits on a milestone 1 to 5, every create_demand and build_trust rating comes from the fixed yes, somewhat, no, na scale, milestone coverage counts reconcile exactly with the bricks listed, at least your minimum number of milestones carry a partner brick, and no partner and brick pair repeats. STUD does NOT verify that the partners, bricks, or ratings are real or accurate, that milestone assignments reflect your actual buyer journey, or that the demand and trust ratings are sound judgments. Your target customer, milestone descriptions, and partner list are operator context that guides the work; they are not machine-checked.
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