Headhunter Tech: how we cut hiring time by 40%

When Headhunter Tech came to us, the problem was not the number of openings or the quality of the candidates. It was the time it took to move from receiving a CV to someone sitting in a first interview with the client. On average, three weeks. In some cases, longer.

That time was not people being inefficient. It was the natural consequence of a process that required manually reviewing dozens of profiles against criteria that were not always written down in the same place.

The bottleneck nobody had named

The real problem was not finding candidates. Headhunter Tech received plenty of applications. It was the first filter: reading every CV, comparing it against the client's profile, and deciding whether it was worth continuing.

That filter was done by one person, with the criteria held in their head, applied differently depending on the day and the workload. The result was inconsistent: some strong candidates arrived late in the process, and some who did not qualify advanced an unnecessary round.

That is not a talent problem. It is a process design problem.

What we built together

The solution was not replacing the recruitment team. It was designing a system that did the first pass of reading and classifying, so the team could apply its judgment where it matters most: in the actual conversations with candidates and clients.

It works like this. When an application arrives, Claude reads the CV and evaluates it against a role profile the team defines in advance. The profile covers technical requirements, minimum experience and the cultural-fit signals the team already knew but had never formally written down.

Claude returns a card per candidate: what they meet, what they do not, and why, with a priority classification. It is not a final decision. It is the first filter that used to take twenty minutes per candidate and now takes seconds.

The team reviews the cards, not the raw CVs. Instead of reading thirty documents to reach the best five, they go straight to the five with the context already processed.

For candidates who advance, Claude also generates a tailored interview guide: specific questions to probe what the CV left unresolved, with the evaluation criteria for each one.

The results in the first months

Average process time dropped from three weeks to under two. That is a 40% reduction in hiring time.

The team did not shrink. What changed is where its time goes. Less document reading, more candidate conversations, and more time spent understanding what each client actually needs.

One outcome that was not in the original objective: consistency improved. Because the evaluation criteria are now written down rather than living in someone's head, they get applied the same way across every opening, regardless of who is available that day.

Recruitment did not get automated. It got reorganised so people do what people do best.

What we learned

The first month was calibration. The role profiles the team believed were clear turned out to need far more detail once they had to be written so a tool could interpret them. That exercise was valuable in itself: the team ended up with sharper criteria than it started with.

The second lesson: the system works only as well as the profile feeding it. When a client is not clear on what they are looking for, the tool cannot compensate. In those cases the work is still helping the client define it before opening the search.

Book your free diagnostic if you want to explore applying something similar to your recruitment process, or to another area of your operation.