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HET ONDERZOEK

De methode van Humanum Huis is gebaseerd op decennia van empirisch onderzoek.

Elke vermelding beschrijft hoe de bevindingen ons handelen beïnvloeden, met daaronder de bevinding en de bronvermelding, en waar we verder kijken dan wat het onderzoek heeft aangetoond. Wanneer het bewijsmateriaal verandert, passen we de bewering aan en noteren we dit onderaan.

GEVESTIGD

OPKOMEND

WORDT GETEST

Wat we beweren is niet dat een methode beter is dan geluk, timing of uitvoering. Het is dat een van de factoren waar die beslissingen altijd van afhingen, namelijk de kwaliteit van het denkwerk in de ruimte, vroeger was voorbehouden aan degenen die het zich konden veroorloven om die ruimte bijeen te brengen. Dat is niet langer het geval, en dat is binnen ongeveer drie jaar veranderd.

We moeten eerlijk zijn over het bewijs hiervoor. Niemand heeft gemeten wat het een organisatie kost om deskundig denkvermogen te verzamelen voor een beslissing, toen noch nu. De ineenstorting die we beschrijven, is dus iets wat we hebben zien gebeuren, en niet iets wat door iemand is onderzocht. We geloven dit op basis van wat het nu kost om een serieuze bewijsbasis op te bouwen in vergelijking met 2019, en op basis van experimenten waarbij de grootste winst terechtkomt bij degenen die het verst achterlopen. Als u onderzoek kent dat dit test, willen we dat graag zien.

Eén bevinding spreekt deze comfortabele visie tegen. Engelse NHS-ziekenhuisorganisaties die meer geld uitgaven aan managementconsultants werden juist minder efficiënt, niet efficiënter. Expertise inkopen is nooit hetzelfde als goed nadenken. Goedkopere toegang verhoogt de lat, maar niets garandeert dat iemand die lat ook daadwerkelijk haalt. En dat is nu juist de reden waarom vakmanschap zo belangrijk is.

Gevestigd

Onderzoek op het gebied van psychologie, organisatiegedrag en besluitvorming vormt de basis waarop wij voortbouwen. Bij elk item hieronder wordt uitgelegd wat het onderzoek heeft uitgewezen en hoe dit onze werkwijze beïnvloedt.

Groups discuss what they already share

What it found

When each member of a group holds a different piece of the information needed for the best decision, the discussion tends to circle what everyone already knows, and the pieces held by only one person rarely surface. Stasser and Titus first showed this in 1985. A meta-analysis of 65 studies, Lu, Yuan and McLeod (2012), confirmed that groups facing this situation seldom reach the best answer.

How we use it

We gather what people know separately, before any room, so that knowledge held by one person reaches the picture before the group has settled on what it already believes.

Source

Stasser, G., & Titus, W. (1985). Pooling of unshared information in group decision making: Biased information sampling during discussion. Journal of Personality and Social Psychology, 48(6), 1467–1478. https://doi.org/10.1037/0022-3514.48.6.1467

Lu, L., Yuan, Y. C., & McLeod, P. L. (2012). Twenty-five years of hidden profiles in group decision making: A meta-analysis. Personality and Social Psychology Review, 16(1), 54–75. https://doi.org/10.1177/1088868311417243

Boards are satisfied with decisions that miss the best answer

What it found

In a study of 141 board members of Dutch non-profit organisations, only a fifth of the groups chose the best of the available options, and the initial majority preference largely decided the outcome. The members were nonetheless satisfied with how they had decided. A structured discussion procedure made them feel they had weighed the options more carefully without improving the quality of the decision.

How we use it

We don't count people feeling heard, or feeling satisfied, as evidence the process worked. Every hypothesis we test is measured against decision quality as well as satisfaction.

Source

Coffeng, T., Van Steenbergen, E. F., De Vries, F., & Ellemers, N. (2021). Quality of group decisions by board members: A hidden-profile experiment. Management Decision, 59(13), 38–55. https://doi.org/10.1108/MD-07-2020-0893

Dissent improves group decisions

What it found

In an experiment with 135 three-person groups, groups whose members agreed before discussion hardly ever found the best answer. Groups whose members disagreed beforehand found it significantly more often, even when none of the individual starting preferences was correct. An earlier study found that genuine dissent reduced the tendency to search only for confirming information, and that dissent staged for the purpose worked less well.

How we use it

Disagreement stays in the picture. We don't average it out, and we ask for counter-examples and the minority view by name.

Source

Schulz-Hardt, S., Brodbeck, F. C., Mojzisch, A., Kerschreiter, R., & Frey, D. (2006). Group decision making in hidden profile situations: Dissent as a facilitator for decision quality. Journal of Personality and Social Psychology, 91(6), 1080–1093. https://doi.org/10.1037/0022-3514.91.6.1080

Schulz-Hardt, S., Jochims, M., & Frey, D. (2002). Productive conflict in group decision making: Genuine and contrived dissent as strategies to counteract biased information seeking. Organizational Behavior and Human Decision Processes, 88(2), 563–586. https://doi.org/10.1016/S0749-5978(02)00001-8

Seeing others' answers narrows the range without improving accuracy

What it found

When people saw each other's estimates before answering again, the range of their answers narrowed and their confidence rose, while their collective accuracy did not improve.

How we use it

A person's own account, and their own sense of where things could go, are recorded before they see anything anyone else has written. That includes anything we have written.

Source

Lorenz, J., Rauhut, H., Schweitzer, F., & Helbing, D. (2011). How social influence can undermine the wisdom of crowd effect. Proceedings of the National Academy of Sciences, 108(22), 9020–9025. https://doi.org/10.1073/pnas.1008636108

Psychological safety and speaking up

What it found

Teams whose members believe it is safe to take interpersonal risks show more learning behaviour, and a meta-analysis of 136 samples links psychological safety to learning, performance and engagement. Hierarchy and fear of consequences can hold back what people say.

How we use it

People contribute through protected channels, choose what crosses from their private space into anything shared, and see exactly what will cross before it does.

Source

Edmondson, A. (1999). Psychological safety and learning behavior in work teams. Administrative Science Quarterly, 44(2), 350–383. https://doi.org/10.2307/2666999

Frazier, M. L., Fainshmidt, S., Klinger, R. L., Pezeshkan, A., & Vracheva, V. (2017). Psychological safety: A meta-analytic review and extension. Personnel Psychology, 70(1), 113–165. https://doi.org/10.1111/peps.12183

Returning the findings to the people they describe

What it found

In qualitative research, member checking means returning an interpretation to the people it describes so they can confirm or correct it. It can improve credibility and catch misreadings. The authors warn that it is not a mechanical test of truth: participants can disagree with each other, change their minds, or have their own reasons for preferring one account.

How we use it

Every draft goes back to the people it describes before it goes to anyone else, and their corrections change it. Where they disagree, the disagreement stays visible, and we don't treat their agreement as proof.

Source

Birt, L., Scott, S., Cavers, D., Campbell, C., & Walter, F. (2016). Member checking: A tool to enhance trustworthiness or merely a nod to validation? Qualitative Health Research, 26(13), 1802–1811. https://doi.org/10.1177/1049732316654870

Repeated rounds of structured feedback

What it found

The Delphi method gathers expert judgement in several rounds of controlled feedback. A systematic review found that studies often fail to say in advance what counts as consensus or when the rounds should stop.

How we use it

We correct the draft in rounds before anyone moves to direction or action. Each round has a stated exit condition, and we don't treat the absence of objections as agreement.

Source

Diamond, I. R., Grant, R. C., Feldman, B. M., Pencharz, P. B., Ling, S. C., Moore, A. M., & Wales, P. W. (2014). Defining consensus: A systematic review recommends methodologic criteria for reporting of Delphi studies. Journal of Clinical Epidemiology, 67(4), 401–409. https://doi.org/10.1016/j.jclinepi.2013.12.002

Integrating what a diverse group knows

What it found

A group gets value from diverse information when its members discuss that information, work it through together and build on it. Having the information present in the group is not enough.

How we use it

Research from outside the room is brought in with its source attached and worked through with the people involved, rather than appended to the end as a list.

Source

Resick, C. J., Murase, T., Randall, K. R., & DeChurch, L. A. (2014). Information elaboration and team performance: Examining the psychological origins and environmental contingencies. Organizational Behavior and Human Decision Processes, 124(2), 165–176. https://doi.org/10.1016/j.obhdp.2014.03.005

How a problem is framed shapes what gets solved

What it found

For ill-defined problems, the way people construct the problem at the start shapes the quality and originality of the solutions they reach.

How we use it

We work backward from the understanding we want to reach, and ask what would need to be known, heard, compared, challenged and imagined to get there, before anyone proposes an answer.

Source

Reiter-Palmon, R., Mumford, M. D., O’Connor Boes, J., & Runco, M. A. (1997). Problem construction and creativity: The role of ability, cue consistency, and active processing. Creativity Research Journal, 10(1), 9–23. https://doi.org/10.1207/s15326934crj1001_2

Reiter-Palmon, R., & Illies, J. J. (2004). Leadership and creativity: Understanding leadership from a creative problem-solving perspective. The Leadership Quarterly, 15(1), 55–77. https://doi.org/10.1016/j.leaqua.2003.12.005

Training and teaming improve calibrated judgement

What it found

In a two-year geopolitical forecasting tournament, probability training, working in teams and placing top performers together improved both calibration and resolution. A 2025 reanalysis using item response theory reached a different conclusion: once extraneous variables were controlled, the effects of teaming and training were substantially reduced, eliminated, or in some cases reversed. The superior performance of the top forecasters themselves held up.

How we use it

Confidence is something we measure, not something we assume. The reanalysis is the reason the pressure-testing hypothesis sits under Being tested rather than here, and it is a caution against assuming that putting people in a team and training them is what produces better judgment.

Source

Mellers, B., Ungar, L., Baron, J., Ramos, J., Gurcay, B., Fincher, K., Scott, S. E., Moore, D., Atanasov, P., Swift, S. A., Murray, T., Stone, E., & Tetlock, P. E. (2014). Psychological strategies for winning a geopolitical forecasting tournament. Psychological Science, 25(5), 1106–1115. https://doi.org/10.1177/0956797614524255

Hauenstein, C. E., Thomas, R. P., Illingworth, D. A., & Dougherty, M. R. (2025). Rethinking the role of teams and training in geopolitical forecasting: The effect of uncontrolled method variance on statistical conclusions. Psychological Science. https://doi.org/10.1177/09567976241266481

Humans and AI together are, on average, worse than the better of the two

What it found

A preregistered meta-analysis of more than 100 experiments found that, on average, human–AI combinations performed significantly worse than the best of humans alone or AI alone (Hedges' g = −0.23). The combinations lost ground on decision tasks and gained on tasks that involved creating content. When the humans outperformed the AI alone, combining them helped; when the AI outperformed the humans, combining them hurt. The combinations did, on average, beat humans working alone.

How we use it

This is the finding most inconvenient for anyone in our position, and it is the reason for the method's shape. AI does what the evidence says it does well: research, synthesis, drafting, and widening the range of what can be imagined. Judgment and the decision stay with people, and each draft names what a person decided rather than what the machine concluded. Whether that arrangement beats the alternatives is a claim we test, under Being tested.

Source

Vaccaro, M., Almaatouq, A., & Malone, T. W. (2024). When combinations of humans and AI are useful: A systematic review and meta-analysis. Nature Human Behaviour, 8, 2293–2303. https://doi.org/10.1038/s41562-024-02024-1

What happens when skilled people work with AI

What it found

In a preregistered experiment with 758 management consultants, those using GPT-4 on tasks inside its capability range completed 12.2% more tasks, 25.1% faster, at around 32% higher quality. On a task deliberately set outside that range they were 19 percentage points less likely to reach the correct answer than consultants working without AI, and their incorrect recommendations were rated more coherent and persuasive than the control group's.

How we use it

It is the reason the method is built around contradiction rather than review. Work that is wrong and reads well is not caught by reading it again, only by people who know the situation being asked to break it.

Source

Dell'Acqua, F., McFowland III, E., Mollick, E., Lifshitz, H., Kellogg, K. C., Rajendran, S., Krayer, L., Candelon, F., & Lakhani, K. R. (2026). Navigating the jagged technological frontier: Field experimental evidence of the effects of artificial intelligence on knowledge worker productivity and quality. Organization Science, 37(2), 403–423. https://doi.org/10.1287/orsc.2025.21838

Where solutions to hard problems come from

What it found

Across 166 scientific challenges put out by corporate research labs and attempted by more than 12,000 scientists, the chance of producing a winning solution rose the further the solver's own field sat from the field the problem belonged to. People at the margins of a discipline, including women, outperformed those at its centre.

How we use it

It is why the world outside comes into the room deliberately rather than as background reading. The evidence comes from open scientific contests rather than organisational decisions, so we read it as a reason to widen who gets asked, not as proof that outsiders know better.

Source

Jeppesen, L. B., & Lakhani, K. R. (2010). Marginality and problem-solving effectiveness in broadcast search. Organization Science, 21(5), 1016–1033. https://doi.org/10.1287/orsc.1090.0491

Whether an organisation can use what it brings in

What it found

An organisation's ability to recognise the value of new outside information, take it in and act on it depends largely on the related knowledge it already holds. Knowledge with no foothold in what people already understand tends to be dismissed or misread rather than used. The argument is conceptual, supported by decades of later empirical work, and how to measure it remains contested.

How we use it

It is why the inside comes first. Outside evidence lands on prepared ground or it does not land at all, which is also why buying a report rarely changes anything.

Source

Cohen, W. M., & Levinthal, D. A. (1990). Absorptive capacity: A new perspective on learning and innovation. Administrative Science Quarterly, 35(1), 128–152. https://doi.org/10.2307/2393553

What buying expertise actually bought

What it found

Across 120 English NHS acute hospital trusts over four years, higher spending on management consultants was associated with greater organisational inefficiency, not less, at roughly £880 of additional cost for every £100,000 spent, on top of the fees. The authors were sufficiently troubled by the result to call publicly for a moratorium.

How we use it

It is the clearest warning against our own category. Access to expensive expertise is not the same as better thinking, and an organisation can buy a great deal of the first while getting none of the second. The study is observational, so it cannot rule out struggling trusts hiring more consultants in the first place.

Source

Kirkpatrick, I., Sturdy, A. J., Reguera Alvarado, N., Blanco-Oliver, A., & Veronesi, G. (2019). The impact of management consultants on public service efficiency. Policy & Politics, 47(1), 77–95. https://doi.org/10.1332/030557318X15167881150799

Opkomend

Wat onze eigen ervaringen beginnen aan te tonen. Elk geval laat zien wat we hebben gezien en, even duidelijk, wat het (nog) niet kan bewijzen.

Wordt getest

Onze werkhypothesen zijn zo geformuleerd dat ze weerlegd kunnen worden. Deelnemers dragen hier alleen met toestemming aan bij, en er worden geen identificerende gegevens gepubliceerd zonder toestemming.

The Human Readiness Gap

The hypothesis

AI has lifted the ceiling on what a hard question can draw on, most organisations are still working well below it, and the distance looks different in every place.

How we test it

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What would change our mind

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Imagination closes it further

The hypothesis

When people are given deliberate room to imagine, the gap closes further than it does through research and efficiency alone.

How we test it

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What would change our mind

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