THE RESEARCH
Humanum Huis' method draws on decades of empirical research.
Each entry says how it shapes what we do, with the finding and the citation underneath, and where we are reading beyond what the research demonstrated. When the evidence changes, we move the claim and record it at the bottom.
What we claim isn't that a method beats luck, timing or execution. It is that one of the resources those decisions always depended on, the quality of thinking available in the room, used to be reserved for whoever could afford to convene it. That is no longer true, and it changed within about three years.
We should be honest about the evidence for that. Nobody has measured what it costs an organisation to assemble expert-level thinking for a decision, then or now, so the collapse we are describing is something we have watched happen rather than something anyone has studied. We believe it from what it now takes to build a serious evidence base compared with 2019, and from experiments where the largest gains go to whoever was furthest behind. If you know of research that tests it, we would like to see it.
One finding cuts against the comfortable version of this. English NHS hospital trusts that spent more on management consultants became less efficient, not more. Buying expertise has never been the same as thinking well. Cheaper access raises the ceiling and nothing about it guarantees anyone reaches it, which is the whole reason the craft matters.
Established
Research in the fields of psychology, organisational behaviour and decision-making provide a foundation of research we draw on. Each entry below says what the research found and how it shapes what we do.
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
Emerging
What our own engagements are starting to show. Each case says what we saw and, just as plainly, what it cannot prove yet.
Being tested
Our working hypotheses, stated so they can be proven wrong. Engagements contribute to this only with consent, and nothing identifying is published without permission.
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
What would change our mind
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
What would change our mind

