A commissioned data search is a paid assignment to find companies that may have information a buyer needs. The buyer defines the requirements, SnowRock researches potential sources and the parties agree what work the search will produce. It is useful when a team needs a particular kind of business data but does not know which companies can provide it.
The result may be a qualified introduction, a set of company profiles or a recommendation to change the search. It is not automatically a dataset. A company must still be willing and able to license the material, and the buyer must decide whether a sample meets its needs.
Choose between an introduction and a commissioned search
An introduction brings a buyer and a potentially suitable company into a conversation. It can make sense when SnowRock already knows a possible source and the buyer can assess it directly. The parties should agree the introduction fee and the event that earns it before proceeding.
A commissioned search goes further. The buyer asks SnowRock to investigate a defined part of the market, apply agreed requirements and report the findings. That work may include identifying companies, finding the right decision makers, arranging conversations and coordinating sample questions. It takes effort even when no license results.
Choose the engagement by the work you need done. If the problem is a single missing contact, a broad assignment may be unnecessary. If your team cannot yet identify plausible suppliers, a defined first research stage can help establish whether a larger search is worth funding.
Write a brief that another person can use
Begin with a person doing a task. For example, a logistics employee explains why a shipment is late and chooses the next action. The buyer may need the original order, tracking events, relevant messages and final resolution. Those details tell a researcher which business operations to look for.
Separate requirements from preferences. If English-language records are required but a particular software package is optional, say so. Also identify what must stay out of the search. A clear exclusion can prevent weeks of work on sources that the buyer will never approve. Name the person who can answer questions and judge the first sample.
| Brief element | What to write |
|---|---|
| Task | Who uses the AI, what it should do and what output is expected. |
| Information needed | The inputs, decisions and outcomes that one example should contain. |
| Coverage | Required industries, languages, dates, locations and difficult cases. |
| Intended use | Training, testing or another named use, including sharing with other parties. |
| Constraints | Excluded content, required formats and limits on preparation work. |
| Decision | Who reviews the findings, the budget limits and the required decision date. |
Distinguish a research lead from a qualified source
A company website may show that a business handles insurance claims, maintains equipment or provides customer support. That can justify a conversation. It cannot establish the size of an export, the quality of its contents or the company’s willingness to sell access.
Ask for a source link and review date beside each public finding. Record unanswered questions separately. After a conversation, identify which statements came from the company and which were checked in a sample. This keeps a confident sales description from turning into an unsupported delivery promise.
Qualification should make the buyer’s decision easier. It might establish that a company has the right workflow, can reach an authorized decision maker and is willing to discuss a sample. The written assignment should define that threshold. Otherwise, one side may count a researched name while the other expects a willing seller with approved files.
Agree the deliverables before research begins
Set a first stage with a clear boundary: the target market, work included, completion date and review meeting. Agree whether outreach is part of that stage or requires a separate decision. A research report can be complete even if every company contacted declines, provided the work and reporting meet the agreed scope.
Specify the format as well as the content. A buyer may need a spreadsheet it can sort, short profiles its technical team can review and a summary explaining the main gaps. Include declined and unresolved sources where they help explain the market. Repeated objections can reveal that the proposed use or commercial terms need to change.
- A research list with company names, source links, reasons for inclusion and open questions.
- A contact plan stating which roles to approach and the message the buyer has approved.
- Profiles for participating companies, with available data, restrictions and preparation needs.
- A conversation record showing the next action and who owns it.
- A final recommendation to continue, change the brief or stop, supported by the findings.
Budget the search, license and delivery separately
The sourcing fee pays SnowRock for the defined assignment. The license payment goes to the company for the agreed use of its data. Exporting, reviewing, removing excluded content, labeling and transferring the files may create further costs. Ask which party performs each job and whether its price is included or still unknown.
The buyer should set a ceiling for the initial search and reserve a separate budget for evaluating a sample. Do not treat an estimated license price as the total project cost. A modest license can become expensive if the information needs extensive manual work before it can be used.
Agree how changes are approved. A request to add another language or business category should come with a revised scope before extra work begins. SnowRock does not publish a universal sourcing fee in this guide. Fees, payment milestones, included outreach and any additional charges belong in the assignment agreed with the buyer.
Define what the first sample must demonstrate
Decide what would justify a larger license before asking a company to prepare a sample. The reviewer may need to see that related files can be connected, the language is appropriate, outcomes are recorded and the contents cover the difficult cases in the brief. The sample should answer those questions at a manageable cost.
Google’s data-characteristics guidance highlights incorrect values, duplicate examples and missing information as sources of unreliable data. Turn the relevant issues into checks your reviewer can apply. Count problems and describe where they occur instead of calling the whole dataset good or bad.
Technical fit and permission are separate decisions. A sample may work well for the model but include content the company cannot license for the requested use. Conversely, clear permissions do not make unrelated content valuable. Continue only when the buyer has enough evidence on both questions to approve the next expense.
Recognize when the search should change or stop
Set a review point before a large outreach effort. Look for recurring reasons a source fails: the information is not retained, outcomes are not linked, approval sits with a customer, preparation is too costly or companies are unwilling to discuss the proposed use. More names will not solve a requirement that the target market cannot meet.
Change one assumption at a time. The buyer might widen the geography, accept another file format or reduce the initial scope. Keep the core task intact. Dropping a required outcome simply to make the company list longer may produce data the buyer cannot use.
The agreement should explain how either party ends a stage and what completed work remains payable. A stopped search should still leave the buyer with the promised findings. An honest no-go recommendation can save the remaining license and preparation budget, even though it is not a completed data transaction.
Example: finding data about delivery problems
Consider a fictional buyer developing an assistant for logistics teams. Its first brief asks for English-language examples that connect an order, a delay, the employee’s response and the eventual resolution. It excludes payment-card details and personal contact information. The buyer has an internal reviewer and wants to decide whether a licensed pilot is feasible before committing to a wider purchase.
An initial assignment could research distributors, delivery operators and online retailers. Public sources establish what each business does; conversations establish whether connected records exist and who can approve a sample. These are proposed steps for the example, not a claim that SnowRock has a waiting list of suppliers.
Suppose the first conversations reveal that tracking events are easy to export but explanations sit in separate email threads. The buyer can fund a small connection test, narrow the task to tracking data or stop. That decision is more useful than receiving a long contact list with no explanation of the missing information.
Move a promising source into a separate licensing decision
When a source looks suitable, confirm permission for the introduction and agree how a sample will be shared. The company and buyer then discuss the data license, acceptance and payment. Do not assume that approval of the search also approves the license purchase.
Keep a short description of the proposed dataset with its source, contents, limitations and intended use. Hugging Face’s dataset-card guidance offers a useful model for organizing that information. The document should remain useful when the buyer’s reviewer changes or the company delivers a revised version.
To start a search with SnowRock, describe the work your AI needs to perform and the gap in your current data. Add your constraints, reviewer and decision date. SnowRock can then discuss a defined assignment with specific deliverables and a separate fee, giving your team a clear basis for deciding whether to proceed.