For research teams
How to write an operational-data sourcing brief for AI research
Turn a broad request for industry data into a specific, reviewable sourcing brief.
Begin with the research task
“Industry data” or “CRM exports” describes a container, not a requirement. An operational-data sourcing brief names the decision or action a research team needs to study, the context required to interpret it, and the outcome that would make the example useful. Write one sentence: “We need records that let us evaluate [decision or action] in [workflow], with [context] and [observable outcome].”
State whether the proposed use is training, evaluation, retrieval or another purpose. This is a description of a potential need, not evidence that a source exists or that an owner has agreed to license records. If you are ready to discuss a particular requirement, send Rahvs a buyer brief.
Specify the smallest useful unit
List the events that must be linked for one example: the initial problem or request, information available at the time, the human decision or action, and a later result or review. Identify the key or sequence that connects them and whether it can be used without revealing identities. Separate required links from optional metadata.
Give a minimum time span and approximate number of usable units, with a rule for counting them. State which formats are essential: free-text notes, structured status codes, timestamps, images or another form. A large export is not automatically useful if the decision and outcome cannot be connected.
Test the brief with a hypothetical workflow
Illustrative example only; Rahvs is not offering this dataset. Suppose the task is to assess whether an assistant can recommend a sensible next step after a technician inspects equipment. A potentially useful unit might connect a service request, equipment condition, inspection finding, technician choice and follow-up outcome. A folder of invoices alone would not answer that question.
The brief should say which links and fields are essential, how missing outcomes affect evaluation, and whether a source could exclude customer names, addresses, pricing and other sensitive fields. A source would have to confirm its actual records and rights before any assessment of fit.
Set boundaries before requesting material
Name the required industry, geography, language, period and source-system constraints. List personal information, third-party confidential material and other content that must be excluded or separately reviewed. Ask who owns or controls each record category, whether customer or platform contracts restrict reuse, and what internal approval is needed.
Describe the intended license: permitted uses and recipients, model-training rights if relevant, duration, retention, deletion and onward sharing. These are questions for the parties and their advisers to resolve, not conclusions from a website. A non-sensitive inventory summary can come before any sample. Interest in a call does not authorize an owner’s identity, records or files to be shared.
Write an evaluation and acceptance rule
Specify what a high-level inventory should report: approximate volume, fields, linkages, time coverage, missingness and known exclusions. If a sample is later approved, identify who may review it, for what purpose, under what handling rules, for how long, and how it will be deleted or returned.
Choose a pass/fail criterion tied to the task, such as the share of units with both a documented decision and outcome. Name the reviewer, review period and method for recording acceptance. This makes a sourcing conversation more precise without implying Rahvs has prepared or delivered data.
Use this six-line buyer brief
- Target task and intended use: What decision or behavior are you studying?
- Required linked events: What is one usable unit, from problem through outcome?
- Scope and quality: What industry, period, format, volume and completeness are necessary?
- Rights and safeguards: What uses, recipients and exclusions need approval?
- Review: What may be described or sampled, and what defines acceptance?
- Commercial path: Who approves evaluation, license and budget; what timing is real?
Complete the brief before asking a business for records. The decision-maker, contracting parties, preparation responsibilities, acceptance trigger and price may still be unknown. Record them as unknown. If an intermediary makes an introduction, agree attribution and fee terms separately. Rahvs can explore potential business sources and coordinate owner-approved conversations after a concrete requirement is understood; availability and terms are confirmed opportunity by opportunity.
See how Rahvs handles permission and scope, then describe your research requirement.
Sources & editorial notes
- CRMArena-Pro: realistic business-agent tasks and confidentiality evaluation
- Mercor Data: published provider process
- micro1: published data-partnership process
The research paper provides task context, not purchasing demand. Provider pages describe their own programs; they do not establish Rahvs inventory, buyer commitments, affiliations or capabilities.
AI-assisted drafting; source links checked October 12, 2026. This guide adds Rahvs’s workflow examples and preparation questions.