Field report · 2 min read
Twenty-two businesses, one relevant prospect
An audit stopped a home-care mission from claiming success after finding that twenty-one of its twenty-two prospects were in the wrong category.
A home-care search produced 22 verified businesses against a target of four. Only one was actually a home-care provider.
Grex uses AI teams to research opportunities and independent checks to assess the output. This mission showed why a verified identity is only one part of a useful result.
The facts were right; the category was wrong
Each business existed. Each website supported the name and phone number in its record. Those identity checks passed.
A separate audit then examined whether the businesses matched the assignment. Twenty-one did not. They included assisted-living facilities, medical clinics, a pet store, and a moving company.
The mission was supposed to find providers of care in people’s homes. Its acceptance rules had allowed other categories into the count.
The mission stopped without claiming the target
Grex recorded an evidence-backed stop. The final record explained why 22 verified identities did not satisfy the requested outcome.
The audit prevented an unsupported success claim, but the prospecting mission still missed its goal. The search and acceptance rules needed a more precise definition of home care.
Other work that day
A social-research mission completed five of five engagement briefs within its 24-hour window and budget. Each brief included evidence a reader could revisit. These were prepared briefs, not published replies.
A competitor survey remained active overnight toward a target of forty items.
For someone delegating research, the distinction is practical: ask whether verification checks relevance as well as existence. Otherwise, an impressive count can still describe the wrong market.