Organisational Decision Making - Your Organisation Has Already Decided. You Just Don't Know It Yet.

Eric Ries has a book coming out on May 26th. Incorruptible asks why organisations that build something genuinely worth building so often end up betraying it — and argues that the answer is structural, not moral. When the systems governing an organisation are poorly designed, even principled leaders are pulled toward outcomes they never intended. Success itself becomes a form of financial gravity, bending companies away from their original purpose.

From reading the early reviews, what has been interesting from the heart of decision making is that — the idea: organisations are not collections of people following instructions. They are superorganisms, with their own emergent intelligence, their own developing character, and their own momentum that can override any individual within them — including the person nominally in charge. It is perhaps what happens to crowd wisdom over time when it has been percolating in its own pot?

If that is true, and the research suggests it is, then the question of how an organisation decides is not a management question. It is a biological one.

Eric Reis Incorruptible

Who Eric Ries is, and why this book matters

The Lean Startup, published in 2011, gave founders a shared grammar for building. Build, measure, learn. Validate before you scale. Treat the early stage as an experiment rather than a declaration. It changed the practice of building companies — not just in technology but across every sector that took entrepreneurship seriously — and it put Ries at the centre of how a generation thought about what it meant to build well.

Incorruptible is a harder book. It arrives after Ries spent years watching what happened to companies built with exactly that discipline and genuine intention. They grew. They raised. They hired. They succeeded. And then, with uncomfortable regularity, they began to act against everything that had made them worth building — not through scandal, not through bad actors arriving from outside, but quietly, from within, through the ordinary operation of systems that had never been properly designed.

His diagnosis is that this is not a moral failure. The people inside these organisations were not, in the main, bad people. The failure was structural. The ownership structures, the incentive design, the decision-making architecture, the accountability mechanisms — these quietly reshaped behaviour as organisations grew. The force doing this reshaping is what Ries calls financial gravity: invisible, structural, and stronger than any individual's intentions.

That argument deserves to be read in full when the book lands. What follows here is the thread it pulls that decision science has been working on independently — and what the two bodies of thinking reveal when placed alongside each other.

The superorganism: Your Organisational Decision-Making

Ries argues, drawing on research into collective behaviour, that organisations develop something analogous to a personality — measurable collective traits that exist at the level of the group rather than any individual within it. An ant colony solves problems no individual ant could solve. The colony's intelligence is emergent: it arises from the interaction of its members rather than residing in any one of them. Human organisations, the evidence shows, work the same way.

This is why the testimony from inside a failing or corrupted organisation so often has the same quality of bewilderment. Nobody wanted to ship the unsafe product. Nobody voted to gut the research lab. Nobody chose to make customers miserable. And yet the organisation did all of those things — as if it had a will of its own, operating beneath the surface of any individual's awareness or intention.

Ries reaches for a line from Steinbeck to name this: who is the bank? The bank forecloses on the farmer not because any individual banker is cruel, but because the institution has become a system with its own logic, its own momentum, its own gravity. Nobody chose this. The system produced it. And the system does not require anyone to be malicious in order to cause harm.

The implication is that you cannot fix this by hiring better people, writing better values on the wall, or appointing a more principled leader. You have to engineer the conditions under which the superorganism itself stays healthy — which is a fundamentally different problem from anything the startup canon has previously addressed.

What the superorganism is made of

Here is where decision science enters — and where the framing becomes, if anything, more uncomfortable.

If an organisation is a living system with emergent behaviour, that behaviour is produced somewhere. It doesn't flow from the mission statement or the investor deck or the founding story. It emerges from the accumulated character of thousands of decisions, large and small, made by groups of people under conditions they did not fully choose and often did not examine.

The superorganism's character is being written in meeting rooms. The question is whether anyone is paying attention to what is being written.

Thirty years of independent research in decision science has established something that most leadership teams have never seriously reckoned with. The group assembled to make a decision is not a neutral vessel for good thinking. It has a cognitive character of its own — shaped by who is in the room, which perspectives dominate, and which are absent. And that character determines the quality of what emerges from it in ways that have nothing to do with the intelligence or intentions of the individuals involved.

Dr Juliet Bourke's field research identified six distinct dimensions through which people approach problems: outcomes, options, people, process, evidence, and risk. Leadership groups are routinely dominated by one or two of these. Outcomes and options are almost always overrepresented. Process, evidence, people, and risk receive far less weight than the complexity of most strategic decisions demands. When all six dimensions are present and roughly balanced, Bourke's research found that decision error rates fall by approximately 30% and innovation improves by 15 to 25%.

Scott Page arrived at the same conclusion through mathematics. His Diversity Prediction Theorem demonstrates that the collective error of a cognitively diverse group is always lower than the average individual error of its members — provided those members genuinely think differently. A group of cognitive clones does not cancel errors. It amplifies them. Their mistakes are the same mistakes, held with shared confidence and reinforced by mutual recognition.

When Page published The Diversity Bonus in 2017, he used Bourke's framework to examine a real failure: McDonald's troubled investment in Chipotle. The decision-making group had overweighted outcomes and options while giving insufficient attention to the people dimension — Chipotle's supplier relationships, its employee culture, the things that made the model actually work. The consequences arrived years later. Nobody in that group was trying to cause harm. The cognitive character of the group produced the harm regardless.

That is the superorganism at work. And its character was being written long before anyone saw the consequences coming.

How organisations narrow — and why they don't notice

The cognitive character of a decision group does not stay fixed. It narrows over time, and it narrows in predictable ways.

As leadership habits form, people mirror the thinking styles of those above them. The profiles that are rewarded — fast, outcome-focused, ambitious — accumulate at the top. The profiles that are progressively sidelined — evidence-driven, risk-aware, process-oriented, people-focused — don't disappear from the organisation. They get excluded from the rooms where decisions form.

Three forces drive this narrowing simultaneously. Social bias: people copy the thinking styles of those in power, consciously and otherwise. Information bias: certain ways of approaching problems get rewarded and reinforced until they become the default definition of good thinking. Capacity bias: under pressure, groups default to what is fastest and most familiar, which is almost always the approach already dominant in the room.

The organisation does not experience this as narrowing. It experiences it as clarity. As culture. As the way things are done here. The superorganism's character is consolidating — becoming more itself, more consistent, more self-reinforcing — and this feels, from the inside, like health.

This is precisely what makes it dangerous. By the time a leadership team can see that something has gone wrong, the cognitive conditions that produced it have usually been in place for years. The decisions that shaped the organisation's direction were made in rooms that looked entirely normal to everyone in them.

Engineering the conditions, not the intentions

Ries's prescription is that founders must treat governance as a creative and strategic act — designing the structural conditions under which the organisation's emergent behaviour stays aligned with its founding purpose. That framing is exactly right.

What it requires in practice is something specific: a level of decision literacy that most leadership teams have never been asked to develop.

Decision literacy is not about making better individual decisions. It is about understanding that the group assembled to make a consequential call is itself the most important variable — and that assembling it well requires deliberate, evidence-based design rather than availability, seniority, or instinct. Instinct is precisely what social bias operates through. Leaving the composition of a decision group to instinct is not a neutral act. It is an act of delegation to the superorganism's existing momentum.

This is where Wizer's research sits. The work of mapping an organisation's cognitive landscape — understanding which decision profiles are present, which dominate, and which are structurally absent from the rooms where consequential calls are made — is not an HR exercise. It is the act of reading the superorganism's character before it writes another chapter.

Decision Profile Mapping gives organisations that visibility. The Panel Strength scoring and live recommendation engine translate it into something actionable before a specific decision locks in — not after the damage is done, but before the room assembles, before the framing takes hold, before the momentum of the existing cognitive character determines the outcome before anyone has spoken.

This is what engineering the conditions actually looks like. Not values on a wall, not better hiring intentions, not a more principled leader at the top. A live understanding of the cognitive character of the group, and the capacity to change it at the moment it matters.

The question worth sitting with

Ries is right that the organisations most at risk are not the struggling ones. The struggling ones know something is wrong. The organisations most at risk are the successful ones — where financial gravity is strongest, where the superorganism's momentum is greatest, where the cognitive narrowing has been building longest beneath the surface of apparent health.

Success is what makes you vulnerable. That is the uncomfortable truth at the heart of Incorruptible.

The version of that truth that decision science adds is this: the corruption does not begin with a bad decision. It begins with the conditions that make a certain kind of decision inevitable. And those conditions are set — quietly, habitually, without anyone choosing them — in the composition of the groups doing the deciding.

The organisation decided long before anyone noticed.

The only real question is whether the next decision group is being designed — or just happening.

Incorruptible publishes on May 26th. We are looking forward to reading it in its entirety.

Wizer is a decision intelligence platform that brings decision science into the room — showing how decisions are shaped and what's missing. Visit wizer.business