If you want to learn how to hire well, the first thing to give up is the thing most founders trust most: the feeling in the room. Almost everyone believes they can read a person. We walk out of an interview convinced we know whether someone is sharp, capable, a fit, and we make consequential decisions on the strength of that conviction. The uncomfortable finding from decades of selection research is that this confidence is largely unearned. The single biggest predictor of whether a hire works out is not how impressive the candidate felt, and not even how intelligent they are. It is how consistently and structurally you evaluated them in the first place.
That is the idea I want to make concrete, because it inverts the usual advice. The instinct is to hunt for the perfect candidate. The leverage is actually in fixing your process. A strong process applied to ordinary judgment beats brilliant intuition applied to a chaotic one. How you decide turns out to matter more than how good you think you are at deciding, and that is genuinely good news, because process is something you can build, while gut feel is something you can only hope you have.
Why gut feel fails so reliably
The unstructured interview - the open, free-flowing conversation where you "get a sense" of someone and follow your instincts - is the default everywhere, and one of the weaker tools available. The problem is not that interviewers are foolish. It is that the format quietly invites bias in through the front door. Each candidate gets different questions, so you are never comparing like with like. First impressions form in seconds and then bend everything that follows to confirm them. We rate people who resemble us more warmly, mistake confidence for competence, and let a single charming moment colour an entire judgment.
None of that registers as bias from the inside. It feels like discernment, which is exactly what makes it dangerous: the conviction that you can read a person is strongest precisely where it is least reliable. A free-form conversation does not measure the candidate so much as how the candidate makes you feel, and those are very different things. The second predicts whether you will like them, which is not the same as whether they will deliver.
What the research actually shows
The most current and careful synthesis comes from Sackett and colleagues, who revisited decades of meta-analytic estimates and corrected statistical errors that had inflated older figures (Sackett et al., 2022). Two results from that work should reshape how a founder hires.
First, structured interviews are among the strongest predictors of job performance available, at a validity of roughly r = .42. A structured interview is not a personality chat. It is the same job-relevant questions, asked of every candidate, in the same order, scored against a defined rubric. That single change - from improvised conversation to consistent, scored evaluation - is what moves the interview from one of the weakest tools to one of the strongest.
Second, and this is the part that surprises people, the picture on raw intelligence shifted. General cognitive ability, long treated as the king of predictors, came in at about r = .31 in the updated estimates, below structured interviews. Intelligence still matters. But the way you evaluate someone matters more than how clever they are, because a consistent, job-relevant process captures things sheer intelligence does not, including whether the person can actually do this work, with this team, under these conditions.
It is worth being precise about the history, because a famous older number still circulates. An earlier landmark synthesis put general mental ability far higher, at around r = .51, and that figure was repeated for years (Schmidt & Hunter, 1998). The 2022 reanalysis showed that estimate was overcorrected and is now superseded. The honest position is to treat the older number as a historical benchmark, not a current one, and to plan your hiring around the updated figures.
What consistency buys you
The reason structure works is not mysterious. It forces you to compare candidates on the same dimensions, which is the only way a comparison means anything. When every applicant answers the same job-relevant questions and is scored against the same rubric, the differences you observe start to reflect the candidates rather than the order you met them in or the mood you were in that afternoon.
Structure also slows the decision down just enough to let evidence catch up with instinct. Define what good looks like before you meet anyone. Ask the questions that reveal it. Score each answer as you go, rather than forming a global impression at the end and reverse-engineering the reasons. Where you can, add a work sample, a real task close to the job, because watching someone do the work is more telling than hearing them describe it. None of this removes judgment. It disciplines it, so your judgment is applied to comparable evidence instead of to a fog of impressions.
This is the same principle that makes any part of a business reliable. You do not get consistent outcomes from inconsistent processes, in operations or in hiring. When I work with founders on the people and systems side of scaling through Magna Hvati, hiring is where the leverage is most underrated. A repeatable, structured way to evaluate people compounds quietly over years: every good hire raises the standard for the next, and every avoided mis-hire saves a cost that rarely shows up on a spreadsheet but is felt by the whole team.
How to hire with a process you will actually use
The aim is not a bureaucratic ordeal. It is a small number of disciplines applied without exception. Decide the few capabilities the role genuinely requires before you write a single question. Ask every candidate the same questions tied to those capabilities, score answers against a simple rubric in the moment, and add a work sample where the role allows it. Keep your instinct in the process as one input among several, rather than as the judge that overrides the rest.
The founders who hire best are not the ones with the most magical read on people. They are the ones humble enough to distrust the feeling in the room and disciplined enough to build something better in its place. How you decide is the decision.
Key takeaways
- The biggest predictor of a good hire is how consistently and structurally you evaluate, not how impressive the candidate felt.
- Unstructured interviews reliably let bias in: different questions, fast first impressions, and confidence mistaken for competence.
- Structured interviews are among the strongest predictors of performance, at roughly r = .42 (Sackett et al., 2022).
- General cognitive ability predicts at about r = .31 in current estimates, below structured interviews; intelligence matters, but process matters more (Sackett et al., 2022).
- The older r = .51 figure for general mental ability is a superseded historical benchmark, not a current number (Schmidt & Hunter, 1998).
Frequently asked questions
What is the best predictor of job performance? Current research points to structured interviews, at roughly r = .42, ahead of general cognitive ability at about r = .31 (Sackett et al., 2022). The consistency of the evaluation does much of the work.
Why are unstructured interviews so unreliable? Because they vary by candidate and let first impressions and similarity bias dominate. You end up measuring how the candidate makes you feel rather than how they will perform.
How do I make an interview structured? Define the capabilities the role needs, ask every candidate the same job-relevant questions in the same order, score each answer against a rubric as you go, and add a work sample where possible.
If you are building a team and want a hiring process that compounds rather than costs you, that is the work I do with founders - you can see how I partner on my work with me page. And when the people and operations layer of scaling needs structure, Magna Hvati is where I help leaders build it.
References
Sackett, P. R., Zhang, C., Berry, C. M., & Lievens, F. (2022). Revisiting meta-analytic estimates of validity in personnel selection. Journal of Applied Psychology, 107(11), 2040-2068.
Schmidt, F. L., & Hunter, J. E. (1998). The validity and utility of selection methods in personnel psychology. Psychological Bulletin, 124(2), 262-274.
This article is for informational and educational purposes only and does not constitute financial, legal, tax, medical, or professional advice. Individual results vary.