Recruiting technology is better than it has ever been, and I use it. Applicant systems, search databases, professional networks, automation and artificial intelligence can make research faster and reduce administrative work. But efficiency is not judgment. A system can search the criteria it is given; it cannot always tell us that those criteria describe the wrong job.
Technology sees what can be captured
Titles, employers, years of experience, degrees, products, locations and keywords are useful facts. They are also the parts of a candidate that are easiest to put in a field. The harder questions are less tidy: why someone made a move, how they respond when direction changes, whether they caused the results on a résumé, what kind of environment brings out their best work and whether they are interested in this company or simply ready to leave their current one.
Those answers often emerge through conversation and context. They do not always live in a database in a form that a screening system can interpret.
Screening can exclude the person worth meeting
Automated tools can improve consistency and scale, but they work from definitions, historical data and criteria chosen by people. If those assumptions are wrong or incomplete, automation can narrow the candidate pool or reproduce bias. At senior levels, a system may reject someone whose product background is not an exact match even when the role needs transferable process expertise. It may give too much weight to a title that means different things at different companies, or miss the logic in a nonlinear career.
The system is answering the question it was given. If the question is wrong, greater speed can get the search to the wrong answer faster. A tightly defined filter may be especially risky when the business problem itself has not yet been defined well.
Use technology to widen the search
Technology can help find people, organize information, compare patterns, suggest interview questions and bring overlooked experience to light. Used as a thinking partner, it can give a search team more evidence and more time to consider it. Its value is strongest when it expands the conversation before the decision narrows.
That distinction changes the search consultant’s contribution. Access to names is becoming easier. The more valuable work is understanding whether the specification is right, recognizing what a system cannot reliably infer, asking questions that expose business reality and helping the client interpret evidence that does not fit neatly into a score.
Keep the friction that protects a good decision
Automation should remove repetitive searching, information retrieval and administration. It should not remove the productive friction of follow-up questions, reference checking, thoughtful disagreement and a careful debrief. Those steps help a team test what it thinks it knows.
This matters particularly in executive hiring. A vice president is not hired only to perform a fixed set of tasks. The executive will make decisions with incomplete information, lead through conditions the job description did not anticipate and adapt as the business changes. A screening tool can help find evidence, but it cannot accept accountability for the decision.
Let human judgment do its work
The useful model is partnership, not a contest between people and machines. Use technology to widen the search, organize evidence, identify patterns, challenge assumptions and reduce administrative work. Then spend human attention where ambiguity is highest: talk to the candidate and client, ask why, test the story, debrief while the evidence is fresh and update the specification when the evidence warrants it.
The purpose of technology is to give experienced judgment better information and more time. It should not create the impression that judgment is no longer needed.
- Which parts of our hiring process improve with automation, and which still require accountable human judgment?
- Could our screening criteria eliminate someone who would challenge our assumptions in a useful way?
- Are we using technology to find more evidence, or to avoid the harder work of interpreting it?
Technology can find candidates. People must choose.
A search system can help identify who appears to match a specification. Choosing an executive requires understanding the business problem, the person’s evidence and the environment the person will enter. The more capable the technology becomes, the more important it is to keep responsibility for that judgment with the people making the hire.
From Staying Power
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Chapter 8, “Technology Can Find Candidates. Judgment Chooses Them,” considers where recruiting technology helps—and where accountable human judgment remains essential.
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