Qualify an AI data buyer: discovery worksheet
Use a practical buyer qualification worksheet to record the task, evaluator, budget status, sample boundaries, and next decision before preparing data.
A request for data can range from early research to a funded project. Use an initial conversation to establish the task, evaluation process, and information needed to decide whether to proceed.
Start with the task
Ask what the team is building or evaluating and which weakness your collection might address. Request the required subject coverage, language, date range, and metadata. If the task is vague, offer a nonconfidential summary and schedule a more specific discovery step instead of preparing a full export.
Find the evaluation owner
Identify who will review the dataset, what they will measure, and when they expect a decision. Ask what would cause the evaluation to stop. A named technical contact and an agreed review process make the next step clearer, but neither proves a purchase will happen.
Check the proposed commercial scope
Ask which entity would license the data, what uses it wants to discuss, and whether budget approval exists. Record unresolved questions about duration, exclusivity, redistribution, and updates. Do not infer permission from an informal message or a request for a sample.
Use a staged handoff
Begin with a description. Move to an approved schema or sample only after the business decides what may be shared and how it will be handled. Keep a log of recipients, versions, questions, and next actions. Stop preparing additional material when the evaluator cannot explain what it would resolve.
Treat identity and intended use as separate checks
Confirm the organization through an independently located company contact or domain, then ask the actual evaluator to explain the use. AWS Data Exchange provides a concrete marketplace example: its subscription verification form asks for identity and intended-use information, but AWS says the provider remains responsible for reviewing and verifying the answers. A completed form is not proof that a buyer or use is suitable.
Use a decision gate, not an invented score
Proceed to a small approved evaluation only when the task, evaluator, permitted sharing, and review date are clear enough for your business. Clarify when a credible contact has unresolved coverage or budget questions. Pause when someone requests a complete export before identifying the use or recipient, insists on sensitive material in an informal channel, or cannot explain how the sample will be evaluated. This is a suggested workflow, not a validated risk score.
An example of a useful next step
A hypothetical inspection-image inquiry might become: “The evaluator will review a schema and a separately approved small sample for three defect categories, then decide whether labeling coverage warrants a scoped discussion by the agreed date.” That is more actionable than “send all images.” Sample size, access restrictions, and legal permissions still need separate agreement; this example establishes none of them.
Buyer discovery worksheet
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Sources & verification
AWS process checked October 19, 2026. The worksheet and decision gates are our preparation framework, not AWS requirements or a compliance assessment.
AWS Data Exchange — subscription verification responsibilities