How do you design a hiring process that sees the candidate, not the name?
There is a structural answer, and a Swedish study put it to the test. Blind recruitment: applications with the name, photo and date of birth removed. When a Swedish municipality trialled anonymised applications, the diversity of candidates invited to interview rose. Not because the people doing the hiring had become less biased, their intentions were unchanged, but because the structure of the process blocked the bias from acting. The rules of the game changed. The hearts did not have to.
The bias that lives in the structure
The conventional response to a lack of diversity is to work on people's attitudes. Diversity policies. Inclusion posters. Unconscious-bias training. The logic assumes that biased outcomes come from biased intentions, and that changing minds will change results.
But much of the bias is structural, not attitudinal. It is in the wording of the job advert that subtly signals who should apply. It is in the unstructured interview that lets impressions and affinity drive decisions. It is in the informal networks that surface some candidates and never others. None of this requires anyone to hold conscious prejudice; the structure produces biased outcomes from well-meaning people, because the bias is built into how the process works rather than into anyone's intentions. This is why training on attitudes so often fails to move the numbers: it targets intentions, while the bias is operating through structure.
Blind recruitment changes the structure rather than the intentions. By removing the name, photo and date of birth from applications, it blocks the point at which much screening bias enters: the moment a recruiter, often without realising it, responds to a name or an age rather than a qualification. The people making the decisions are no different; their attitudes are unchanged. But the structure no longer gives those attitudes anything to act on at the screening stage. The bias is not persuaded away. It is designed out of the step where it does its damage.
Why this is design, not good intentions
You could read blind recruitment as a way of making people fairer. But that misreads what it does, and the misreading matters.
Blind recruitment does not motivate recruiters to be less biased. It does not ask them to examine their assumptions or try harder to be fair. It simply removes the information their bias would otherwise act on. The fairer outcome comes not from changed minds but from a changed process: the recruiter cannot screen on a name they cannot see. The improvement is structural, not motivational, which is precisely why it works where good intentions alone do not.
That is the difference between design and motivation, and in hiring it is decisive. Motivation, in the form of bias training, asks people to overcome biases that are often unconscious and stubbornly resistant to willpower. Design changes the process so the bias has no opening to act through. You cannot reliably train away an unconscious bias; the person cannot police a response they are not aware of having. You can build a process that never presents the bias with its trigger, and let the fairer outcome follow.
The biased outcome was never only about biased people. It was about a structure that handed bias the information it needed to operate. At SUE, the Influence Framework and SWAC are the methods we teach in the Behavioural Design Fundamentals Course to systematically analyse which structural conditions make the desired behaviour easier than the alternative.
Amsterdam
Rated 9.3 out of 10. Certificate included.
The principle: structured decision-making beats good intentions
The research underneath this is well established, and naming it turns blind recruitment from one tactic into a general principle, with the right precision.[1]
The broad finding across the field of implicit bias and structured decision-making is that structuring a decision, removing or standardising the information and the process, reduces the impact of bias far more reliably than asking people to be less biased. Structured assessments outperform unstructured interviews. Removing irrelevant identifying information outperforms training people to ignore it. The principle is consistent: change the structure of the decision, and you change the outcome, even when the people and their intentions stay exactly the same.
The Swedish evidence illustrates this precisely, and it is worth being accurate about what it showed. In the anonymised-application trial, the probability of being invited to interview rose for women and for candidates with a minority background. Women also saw a higher probability of being offered a job; for immigrant candidates the effect on actual offers was less clear. So the honest claim is specific: blind recruitment reliably widened the diversity of who got through the screening stage, which is exactly where name-based bias does much of its filtering. That is a real, structural gain, achieved without changing anyone's mind, and it demonstrates the larger point. The structure of the decision, not the virtue of the decider, did the work.
The unchanged composition of teams was never only about prejudiced individuals. It was about a process structured to let bias filter people out before anyone consciously decided anything.
Learn to apply this yourself
What makes blind recruitment effective is not goodwill but process architecture: removing the information that bias would otherwise act on before it reaches the decision-maker. In the Behavioural Design Fundamentals Course, you learn to use the Influence Framework and SWAC to map exactly where irrelevant signals enter a process and redesign those moments so the desired behaviour becomes the structural default.
View the Behavioural Design Fundamentals CourseWhat you can design this week
You do not need to anonymise everything tomorrow to apply this. The principle, that structured decisions beat good intentions, points to changes in any process where bias creeps in.
Remove irrelevant information from the decision. Where a piece of information, a name, a photo, an age, is not relevant to the decision but could trigger bias, the structural move is to remove it from the point of decision. You cannot screen on what you cannot see.
Structure the decision itself. Unstructured judgement lets bias and affinity drive outcomes. Standardised questions, consistent criteria and structured assessments constrain the space in which bias operates, and consistently outperform gut feel.
Fix the process, not just the mindset. Bias training targets intentions; much bias operates through structure. Before investing only in changing attitudes, ask where the process itself is producing biased outcomes from well-meaning people, and redesign that.
Be precise about where the gain is. This is the honest deeper point. Structural fixes work powerfully at specific stages, like screening, and less automatically at others, like final offers. Knowing exactly where your bias enters lets you put the structural fix where it actually bites, rather than assuming one change fixes everything.
This precision is what separates a structural approach from a performative one. It is easy to anonymise a single stage, announce a commitment to fairness, and assume the problem is solved, while bias simply relocates to the unstructured interview or the final decision where the name is visible again. The discipline the Swedish evidence demands is to trace the whole process and ask, at each stage, where an irrelevant signal could trigger a biased response, and then to structure that specific stage. A name removed at screening but revealed at interview only delays the bias; it does not remove it. The work is unglamorous and specific, which is precisely why it is effective. Bias is defeated not by a grand gesture but by closing each opening through which it acts, one stage at a time.
The thread is the one that runs through everything we do at SUE. You rarely produce fairer outcomes by asking people to be fairer. You produce them by structuring the decision so bias has nothing to act on. The Swedish municipality did not retrain its recruiters' hearts. It changed the rules of the process, and let the fairer outcome follow. And there is something quietly liberating in this for anyone who has despaired of changing minds. You do not, in fact, have to win the argument about whether people are biased, a debate that tends to produce defensiveness and little else. You only have to change the structure of the decision so that whatever biases exist have no opening to act through. The structure does not require anyone to confess or convert. It simply stops handing bias the information it needs, and the outcome shifts regardless of what anyone believes.
If you want to learn how to structure decisions so that bias has no opening, rather than relying on intentions alone, that is exactly the kind of work our Behavioural Design training is built around.
Frequently asked questions
Why does blind recruitment work better than bias training?
Bias training targets intentions, but much of the bias in hiring operates through structure, not through conscious prejudice. A recruiter cannot police an unconscious response they are not aware of having. Blind recruitment takes a different approach: it removes the information the bias would otherwise act on, so the bias has no opening to operate through at the screening stage. The fairer outcome comes not from a changed mind but from a changed process.
What exactly did the Swedish trial show, and what did it not show?
When a Swedish municipality anonymised applications by removing names, photos and dates of birth before review, women and candidates with a minority background were more likely to be invited to interview. Women also saw a higher probability of receiving a job offer. For candidates with an immigrant background, however, the effect on actual offers was less clear. The honest conclusion is specific: blind recruitment reliably widened diversity at the screening stage, where name-based bias does most of its filtering. It does not automatically fix every subsequent stage of the process.
How do I apply this if I cannot anonymise the entire hiring process?
Start by identifying where an irrelevant signal, a name, a photo, a university, enters your process and could trigger a biased response, then structure that specific stage. Removing the name from applications but revealing it at interview only delays the bias; it does not remove it. Beyond anonymisation, structured interviews with standardised questions and consistent criteria consistently outperform unstructured conversations, because they constrain the space in which affinity and gut feel operate. The discipline is to trace each stage and close each opening, rather than assuming one change fixes everything.
Does this mean individual bias does not matter?
It means the composition of teams was never only a story about prejudiced individuals. A process structured to pass irrelevant information to the decision-maker will produce biased outcomes from well-meaning people, because the bias is operating through the structure rather than through anyone's conscious intent. What this view offers, practically, is an escape from the argument about whether particular people are biased, a debate that produces defensiveness and rarely changes numbers. You only have to change the structure so that whatever biases exist have no opening to act through, and the outcome shifts regardless of what anyone privately believes.
If you want to learn how to design for behaviour rather than trying to motivate it, that's exactly what the Behavioural Design Fundamentals Course covers. View upcoming dates →
1.5 minutes on influence
Join 6,500+ readers · Free · Unsubscribe anytime