The seven questions
Screeners differ in wording, but the substance is consistent:
| Question | What a good answer looks like |
|---|---|
| What is the data? | The systems and record types: tickets, chat archives, CRM history, SOPs, call records, workflow logs |
| How much is there? | Approximate counts or size: tickets, messages, documents, gigabytes |
| What years does it span? | A range, for example 2019 to 2026 |
| Who owns it? | Your company's own operational records, not client data or third-party content |
| Is there personal information? | What kind and where; personal information is removed where relevant before packaging |
| What language is it? | The mix; at least 70% English-language records qualify |
| Is any of it synthetic? | Whether AI-generated content is present and roughly how much |
Why buyers ask
AI teams train agents on records of real work, so they need to know the data is real, connected and usable. Volume and time span set how much an agent can learn. Ownership and permissions decide whether the data can be licensed at all. Personal information and synthetic content decide how much preparation the data needs before it can be used.
How to prepare your answers
- List your systems and what lives in each: Slack, email, tickets, CRM, docs, call recordings
- Pull approximate counts from each system's admin or export tools
- Note the earliest and latest record dates
- Confirm the records are yours, not your clients'
- Check the language mix of your records
Our preparation checklist walks through the details, and the anonymization guide covers personal information.
What happens with your answers
Your answers feed the advisor review, not a commitment. A data advisor checks fit, comes back with questions or a call, and, if your data qualifies, identifies a qualified buyer from our network whose needs match. See what happens after you apply.
Frequently asked questions
What is the first thing buyers ask about company data?
What the data is and where it comes from: the systems it lives in, the record types, the time span it covers and how much of it there is. A clear one-paragraph description moves the review faster than any document.
How do buyers measure data volume?
In files, records or storage size, depending on the data type: ticket counts for support data, message counts for chat archives, document counts for SOPs and knowledge bases, and gigabytes or terabytes for media. Approximate numbers are fine at the review stage.
What do buyers ask about personal information?
Whether the records contain personal information, what kind, and how it will be handled. DataPaid removes personal information where relevant before packaging, and your advisor tells you what needs attention before anything moves.
Do buyers ask who owns the data?
Yes. Buyers need the data to be yours: your company's own operational records, not your clients' data or content you licensed from someone else. Clear ownership is one of the strongest qualification signals.
- DataPaid application and review process
- Published enterprise data program screeners (2026)