What should I test in a recruitment CRM demo?

A vendor's demonstration database is clean by construction: every record has a complete profile, consistent tags and a plausible history. Yours is not. It holds duplicates, people with two email addresses, applications from a role you have since renamed, and a long tail of names with nothing attached to them. Every difficulty you will actually have lives in that gap. Ask to import a genuine slice of your own history during evaluation and work with it, because the questions that matter — what the search returns, whether the tags survive an import, what happens to a record with almost nothing on it — cannot be answered against curated data.

Watch how long it takes one recruiter to add a person and make them findable later. That single interaction happens hundreds of times and is what a tool lives or dies by, because it is the moment the upkeep either fits into the working day or does not. Count the clicks from finding a candidate to a saved, tagged record. Then have somebody who was not in the demonstration try it unaided. If it needs explaining, it will not be done consistently, and a pool populated inconsistently is worse than one populated sparsely — the search returns a confident-looking subset while quietly omitting whoever was filed differently.

This is where separate tools leak and where a combined one has to prove itself. Take somebody from the pool and put them into a live requisition, then check whether the history followed: the earlier notes, the stage they previously reached, the reason they were not chosen. Then do it the other way — reject a candidate from the pipeline and see whether they land back in the pool with that context attached or as a bare name. If either direction produces a second copy of the same person, you have found the maintenance burden that eventually convinces a team the tool is not worth it.

Send one real campaign to a small segment during the evaluation rather than watching a preview. Check what a reply does — whether it reaches a named person or a mailbox nobody reads. Then unsubscribe somebody and verify they are genuinely removed everywhere, not from the single list they clicked. Partial removal is a common and damaging failure, because the person reappears from another segment weeks later and reads it as bad faith. Where a lawful basis question sits behind any of this, that is yours to settle with your own advice; what the demonstration should establish is whether the system can carry out the decision you make.

Ask for a sample export early, look at the file rather than the description, and check whether it carries the parts that took work to create: tags, notes, contact history, consent preferences and the link between a person and the roles they were considered for. A record that exports as a name and an email address is not the asset you spent a year building. This is the question buyers most often postpone and most regret postponing, because leverage disappears the moment the contract is signed and reappears only when you want to leave, at which point the answer is whatever the system happens to do.

Two, and they are the ones that determine the outcome. Whether anybody will own the upkeep once the novelty passes, which is a staffing question rather than a product one. And whether you have enough repeat hiring to make a nurtured pool worth maintaining at all — a team hiring occasionally and reactively will get little from any tool in this category however well it performs in a trial. Settle both before you compare products, because a tool that wins an evaluation and then goes unused is the common failure here, and it is not caused by anything the evaluation measured.