Walk through your current investment portfolio and ask one question of each line: what does this return depend on?
The transformation programme depends on thousands of people changing how they work, which depends on those people understanding why, and believing the why is real. The AI investment depends on the organisation knowing which questions matter, which depends on the people closest to the change agreeing on what is actually changing. The strategy refresh depends on execution, which depends on the executors holding the strategy as their own understanding rather than as the slides they were sold the strategy with.
Follow any ROI case far enough down and you hit the same load-bearing layer: shared understanding among the people who must act. And almost no organisation measures it, prices it, or invests in it directly, no matter how much there's talk about how crucial strategy implementation is to success.
That is the argument of this piece, and it can be said in one line: you need a winning Return on Understanding for any Return on Investment. ROU before ROI.
The bill arrives, just never on a budget line
The cost of weak understanding is not hypothetical. It is documented, piece by piece, in some of the most cited research in management.
McKinsey finds ineffective decision-making wastes more than 530,000 days of managers’ time a year in a typical Fortune 500 organisation, roughly $250M in labour cost alone. PMI finds $75M of every $1B of project spend is put at risk by ineffective communication, poor communication that leads to costly rework and missed alignment across stakeholders. Kaplan and Norton found that, on average, 95% of employees are unaware of, or do not understand, their company’s strategy - a massive disconnect between leadership's strategic vision and the day-to-day reality of the workforce. And roughly 70% of transformation programmes fail to reach their goals.
Each figure is usually quoted alone, as a curiosity. Read them together and they describe one thing: the absence of shared understanding, surfacing in four different places. It appears on no budget line, which is exactly why it persists. We call the accumulating version of it collective sensemaking debt: misalignment that builds invisibly and is costly only when it surfaces. The strategy endorsed in the boardroom but never internalised on the floor. The change programme announced for the third year running and met with polite scepticism. The decision that has to be made twice.
The cheapest decision your organisation will make this year is the one it does not have to make twice.
Why this is getting worse, not better
AI has given every individual in the organisation a personal strategy engine. Each engine runs on different assumptions, different priorities, a different view of what matters. The result is not speed. It is divergence at velocity. Everyone argues more fluently. Shared understanding becomes harder. The organisation moves faster and less coherently at the same time.
And the AI layer is symmetric: every competitor has the same models, the same data, the same frameworks. Strategy assembled from generic AI inputs is, by definition, the strategy everyone else can assemble too. The more micro-decisions the machines take on, the more the enterprise needs a macro layer of shared understanding, built by its own people, on its own questions, in its own context. That layer is the one thing in the stack competitors cannot buy.
So the understanding question is no longer a soft question. It is the hard, structural one, and it sits upstream of every ROI case on the table.
What a winning Return on Understanding looks like
If understanding gates every return, then understanding has to become something you can read, not something you assume because everyone nodded. A winning ROU has a recognisable shape.
It is built, not gathered. Shared understanding is not lying around the organisation waiting to be collected by a survey. It is created through deliberation, where people build on each other’s thinking, challenge it, ground it, and produce understanding that no single person held and no model could have generated, because it was never in any corpus. The process is collective sensemaking. The output is deliberative intelligence: decision-grade understanding, traceable from boardroom conclusion back to the individual contribution that started it.
It is measured before commitment, not autopsied after failure. The question “do the people who must act share a well-formed picture?” has to be answerable at the moment of decision. The Shared Understanding Index reads whether people are building understanding together, not whether they agree. Agreement without understanding is the most dangerous reading in the enterprise: hollow alignment, where everyone stands beside a position nobody examined. Lovallo and Sibony’s research found that the decision process matters six times more than depth of analysis for decision quality. Measured understanding is that process, made visible.
It includes the people who will carry the return. McKinsey’s transformation research finds success rates roughly double, to 70–79%, when frontline employees feel ownership of the change. That uplift is not a change-management technique. It is a structural consequence: when the people who will execute a decision were part of building the understanding behind it, implementation stops being a separate problem. The decision and its adoption are made of the same material.
It compounds. A workshop is an expense that expires. Understanding built in deliberation is an asset that compounds: each cycle starts where the last ended, the reasoning behind past decisions stays navigable, and the record becomes the one proprietary layer in your AI stack: characterised human understanding that has never been in any training set.
Run the numbers the other way
Take a single €20M change programme. At documented failure rates, most of that spend is at risk before the kickoff meeting. Improve the shared understanding among the people carrying it, measurably and before commitment, and the expected-value mathematics move by millions, per programme. Now take the fifty consequential cross-functional decisions your organisation makes a year, of which roughly a third get re-opened at a cost of €100,000–300,000 each. Now add the senior knowledge that walks out of the building with every leadership transition, and the strategic signal your own people already hold 18–24 months before the market confirms it.
None of these are exotic returns. They are the ordinary returns your existing investments already claim, and every one of them is gated by the understanding layer underneath. Which is why ROU is not a competing investment case. It is the multiplier on all the others. Point tools each chase one return; understanding built on one living substrate multiplies across all of them.
The order of operations
Enterprises have spent two decades perfecting the ROI case: the model, the sensitivity analysis, the payback period. The discipline is real. It is also incomplete, because it prices everything except the layer the return actually travels through.
The correction is an order of operations, not a new religion. Before you approve the investment, read the understanding. Before the commitment, ask what the people who must act have actually built together, and whether you can see it, measure it, and trace it, or whether you are inferring it from the silence in the room.
This is what Hunome is for: the end-to-end operating system for change, where the organisation deliberates continuously, every contribution attributed and connected, human-aware end to end, with the humans behind the thinking visible in every output rather than hidden behind AI inputs, and the understanding behind every commitment is readable before the money moves. Deliberation creates the understanding; deliberative intelligence delivers it in a form a board can interrogate; and the asset compounds with every cycle.
ROU before ROI. Get the understanding right, and the returns start arriving. Skip it, and the invoice arrives anyway, unbudgeted, as always.
Related articles: The missing layer · Why strategy fails at execution · The deliberative divide · We don’t have time for this
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