Human verification is a standard, not a label.
A person checking a company name is not enough. A useful row combines identity, fit, contactability and a reason to reach out. Those checks must refer to the same company and be current enough to support a real sales decision.
A human-verified prospect list is a researched set of companies in which every row has been reviewed by a person for company fit, decision-maker identity, contact details, supporting evidence and relevance to the seller's offer.
The row is the unit of trust.
List quality is decided row by row. One polished company does not compensate for nine speculative ones. A repeatable review should answer six questions in order:
- Is the company active and inside the requested territory?
- Does it match the target company type and stated exclusions?
- Who is the relevant decision-maker, and is the role current?
- Can that person be reached through a verified professional email?
- What observable evidence makes this company relevant to the offer?
- What opening angle follows from that evidence without overstating it?
Evidence should support the outreach decision.
Evidence is useful when it changes what you would say or whether you would contact the company at all. A live website, company page, role announcement, job post or public workflow can support a row. A generic industry assumption cannot.
This is why the right evidence differs by audience. A web designer needs a specific website or conversion opportunity. A SaaS builder needs observable ICP fit, a manual workflow, a current tool or another credible buying signal.
What belongs in the delivered CSV?
| Field | Decision it supports | Quality check |
|---|---|---|
| Company profile | Is this the right kind of business? | Current activity, location and relevant characteristics agree. |
| Decision-maker | Who owns the problem or purchase? | Name and current role are supported by a recent source. |
| Verified email | Can the right person be reached? | The address belongs to the person and passes verification. |
| Opportunity and evidence | Why contact this company? | The observation is specific, visible and relevant to the offer. |
| Outreach angle | How should the conversation begin? | The angle follows from the evidence and avoids unsupported claims. |
| Verification date | How fresh is the row? | The recipient can judge when the research was last reviewed. |
AI can assist research; it cannot certify the result.
AI is useful for organising notes, suggesting queries and spotting patterns. It can also produce plausible names, roles and explanations that are wrong. Human review is the point where a suggestion becomes a checked fact—or is removed.
The practical test is simple: could another person open the evidence, understand the relevance and use the row without guessing what the researcher meant? If not, the row is not ready.