Recognition Precedes Meaningful Understanding
What becomes possible when organisations stop asking only what they know and begin wondering what their knowledge has not yet allowed them to see?
First Principles · 10 min read
Katherine Adcock
Founder, Elevate Impact Advisory
The Idea, Simply
Imagine having every piece of a jigsaw puzzle in front of you. You can study each piece closely. You can describe its colour and shape. You might know exactly where it came from. But knowing every piece individually does not necessarily mean you can see the picture they make together.
Schools can be like this too. A school might know that teachers are tired, that professional learning is well attended, that people support its direction and that practice is still inconsistent. Each of those things tells us something. But the more important question may be what they tell us when we place them beside one another.
That is the idea at the heart of this essay. Sometimes meaningful understanding does not come from collecting another piece of information. It comes from recognising a pattern that was already there.
Sometimes we already have the pieces. What changes is our ability to see the picture.
Schools are not short of information.
We know more about our organisations than perhaps at any other point in educational history. We collect achievement data, wellbeing data, attendance data and survey data. We conduct classroom observations, gather student voice, evaluate programmes, review strategic priorities and monitor implementation. We hold leadership meetings, team meetings, professional learning conversations and performance conversations. We listen to parents. We talk with teachers. We watch students.
We know things. Often, we know an extraordinary number of things.
And yet I have worked with schools that knew almost everything there was to know about what was happening and still had not quite recognised what was happening.
For a long time, I thought this was largely a problem of analysis. Perhaps the information had not been examined carefully enough. Perhaps the right questions had not been asked. Perhaps another data set, another conversation or another perspective would reveal what had been missed.
I am no longer sure that is the most interesting explanation.
Sometimes nothing is missing. The information is already there.
A leadership team knows that staff are tired. They know an important initiative has lost momentum. They know middle leaders are hesitant to challenge decisions. They know professional learning has been well attended. They know implementation varies considerably between teams. They know staff continue to express support for the school's direction.
Each of those things may be entirely visible. Each may also be entirely true. The difficulty begins when we treat them as six separate things.
What happens if they are not?
What if the exhaustion, stalled implementation, hesitant leadership, strong attendance, inconsistent practice and apparent support are not separate organisational facts requiring separate responses? What if they are different expressions of something the organisation has not yet recognised?
That possibility has increasingly changed the way I think about organisational understanding. Having information about an organisation and recognising what that information represents are not the same thing.
When information becomes evidence
We often speak as though evidence possesses meaning by itself. It does not.
A staff survey does not arrive carrying an explanation. An implementation measure can show variation without necessarily telling us why that variation exists. A classroom observation reveals something about what happened in a particular classroom, but not automatically the conditions that made it likely. Even a pattern over time becomes meaningful only when we begin interpreting what that pattern might represent.
Karl Weick's work on sensemaking is useful here. Rather than treating organisations as places in which people simply receive objective information and make rational decisions from it, his work draws attention to the ongoing process through which people make meaning of complex and ambiguous organisational experience. What we notice, the cues we select and the interpretations we construct all matter to what eventually becomes understood.
This means the same information can support very different understandings.
A leadership team sees inconsistent implementation and concludes that expectations need to be clearer. Another sees the same inconsistency and wonders whether teachers understand the purpose differently. Another asks whether competing initiatives have fractured attention. Another wonders whether middle leaders believe strongly enough in the work to lead it confidently. Another asks whether the initiative itself is the right one.
The information has not changed. What changed was what people were able to recognise within it.
This is why I have become increasingly interested in the space between information and understanding. Recognition, I think, lives somewhere in that space.
Recognition occurs when something previously encountered becomes newly meaningful. The information may be familiar. The pattern may have been visible for months. Nothing necessarily arrives that the organisation did not already possess. Yet separate observations begin to belong together. What appeared incidental begins to look patterned. What appeared to be a problem in one place begins to reveal a condition operating across many.
The condition may exist between the data
Systems thinking makes this more interesting still.
Peter Senge's work asks us to move beyond isolated events and examine the larger patterns, assumptions and interrelationships shaping organisational life. Donella Meadows similarly invites us to understand systems through their interconnections, feedback, information flows and structures rather than assuming that what is most immediately visible necessarily explains what is occurring. Both challenge the instinct to isolate a problem from the system in which it is produced.
That sounds obvious until we consider how organisations often respond to information. When staff wellbeing declines, we look at wellbeing. When implementation stalls, we look at implementation. When middle leaders lack confidence, we look at leadership development. When student outcomes fall, we look at teaching. When workload becomes unsustainable, we look at workload.
There are good reasons for doing this. Problems need attention, and specificity matters. But systems rarely organise themselves according to the headings on our improvement plans.
The condition creating one visible problem may also be influencing another. A response intended to improve one area may quietly increase pressure somewhere else. Something that appears to be working well may actually be compensating for weakness elsewhere in the system. Two things that appear independently successful may, when considered together, reveal conditions that could allow both to function much more powerfully.
Sometimes the most important information is not contained in any individual piece of data. It exists in the relationship between them.
Imagine a school in which teachers consistently report high commitment to the school's strategic direction. Professional learning attendance is excellent. Leaders communicate priorities regularly. Yet classroom practice remains highly variable.
It would be possible to know all four things and respond to each one independently: celebrate commitment, continue professional learning, maintain communication and address implementation variability.
But place those four pieces beside one another and a different question becomes possible. If people are committed, attending, informed and still implementing the work in markedly different ways, what is the organisation currently assuming that those four facts no longer allow us to assume?
Now we are somewhere else.
We are no longer merely measuring implementation. We are investigating the organisation's understanding of itself.
The danger of knowing an organisation well
This becomes harder, not necessarily easier, when we know an organisation intimately.
Imagine a principal saying to me, I've been here eight years. I know my people. I know our data. I know what's working and what isn't.
My response would begin with agreement. Yes, you have been there eight years. You do know your people. You do know your data. You do know a great deal about what is working and what is not.
That knowledge matters. Experience provides context that an outsider cannot instantly acquire. Leaders learn histories, personalities, previous attempts, political realities and subtle organisational dynamics that will never appear on a dashboard.
But I would still want to ask:
Within everything you know, what don't you know?
Not because the principal has failed to understand the school, but because none of us stands completely outside the systems we inhabit.
Senge's work on mental models is important here. The assumptions and deeply held ways through which we make sense of the world shape how we interpret what we encounter. Learning therefore involves more than accumulating additional information. It also requires us to surface and examine the assumptions through which that information is understood.
Familiarity gives us extraordinary knowledge. It also gives us expectations.
We know that this team always struggles with change. We know those teachers are resistant. We know that initiative failed because there wasn't enough time. We know parents in this community expect this. We know our middle leaders aren't ready yet.
Some of those interpretations may be entirely accurate. New information then enters an old story. We do not necessarily ignore what we see. We recognise it as evidence of what we already believe.
This is one reason organisations can gather increasing amounts of information without necessarily increasing their capacity to understand themselves. More evidence does not automatically produce a different interpretation. Sometimes it simply makes an existing interpretation feel more certain.
When recognition becomes uncomfortable
There is another complication.
Sometimes people can see what is happening perfectly well.
A leader may recognise a problem but know that naming it will raise uncomfortable questions about a decision they championed. A middle leader may see what needs to change but lack the authority or confidence to say so. A leadership team may understand that an initiative is not producing what was intended but fear the organisational consequences of changing direction. Staff may privately recognise the same pattern while doubting that enough collective belief exists to do anything about it.
What appears from the outside to be a failure of recognition may therefore sometimes be something else: recognition without a perceived capacity to respond.
That distinction matters because otherwise we risk assuming that once people see something clearly, action naturally follows. Organisational life is rarely so simple. Recognition can collide with identity, authority, confidence, agency and belief.
This is where the wider literature on organisational learning becomes important. Chris Argyris distinguished between correcting problems within existing governing assumptions and learning that examines those assumptions themselves. His work suggests that organisations can become skilled at responding to difficulties while leaving the reasoning that repeatedly produces those difficulties largely untouched.
There is something uncomfortable in that possibility. Sometimes organisations do not need more evidence. They need the conditions in which the meaning of the evidence can be examined without immediately becoming a judgement about competence, loyalty or leadership.
To recognise something is sometimes to lose the ability not to know it.
And once an organisation genuinely recognises a condition, continuing exactly as before becomes harder to justify.
What recognition asks of us
This is why I resist treating recognition as a soft precursor to the serious work of organisational improvement. Recognition is serious work.
It asks us to hold what we know with enough confidence to use it and enough humility to question what it has taught us to expect. It asks us to look across information rather than only into it, to notice relationships, contradictions and absences, and to distinguish between a visible problem and the conditions that may be producing it.
Perhaps most difficult of all, it asks us to remain open to the possibility that an organisation's most established explanation of itself may no longer be its most useful one.
Meadows' systems thinking offers an important reminder here. Complex systems repeatedly surprise us because behaviour emerges through interconnections, feedback and delays that resist simple explanations. Her writing also cautions against the seductive idea that systems thinking finally gives us complete prediction and control. Instead, she argues for humility, continued learning, attention to information and willingness to expose our mental models to examination.
For schools, that does not mean every leadership team needs to draw feedback loops across the staffroom walls. It may mean something both simpler and more demanding: becoming less impressed by the amount we know.
Not dismissive of evidence. Not suspicious of expertise. Not paralysed by complexity. Simply more curious about what becomes visible when what we know is placed in relationship with everything else we know.
There is an important difference between uncertainty and ignorance. The most thoughtful leaders I have worked with are often extraordinarily knowledgeable about their organisations, but their knowledge does not seem to make them more certain that they have understood everything. It makes them capable of asking better questions about what they may still not understand.
Perhaps that is one of the paradoxes of organisational expertise. The deeper our understanding becomes, the more sophisticated our questions can become about its limits.
So when a leader tells me, I know my people. I know our data. I know what's working and what isn't, I believe them.
And then I become curious about what has become so familiar that nobody thinks to question it anymore. Which pieces of information have never been placed beside one another? What appears to be several separate problems but may actually be one organisational condition? What appears to be one problem but may be several? Which explanation has become so convincing that new information is continually interpreted through it? What can people see but do not yet feel able to name?
And within everything the organisation knows about itself:
What doesn't it know?
Perhaps meaningful understanding does not begin when we finally gather enough information.
Perhaps it begins when we become willing to discover what everything we already know has not yet allowed us to see.
Ideas in Conversation With
Argyris, C. (1977). Double Loop Learning in Organizations. Harvard Business Review. Argyris distinguishes between correcting errors within existing assumptions and learning that questions the assumptions governing action.
Meadows, D. H. (2008). Thinking in Systems: A Primer. Chelsea Green Publishing. Particularly relevant are Meadows' explorations of interconnection, feedback, information, system behaviour and the humility required when working with complexity.
Senge, P. M. (2006). The Fifth Discipline: The Art & Practice of the Learning Organization. Revised edition. Currency. Particularly relevant are systems thinking, mental models and the movement beyond isolated events towards patterns and interrelationships.
Weick, K. E. (1995). Sensemaking in Organizations. SAGE Publications. Weick's work provides an important account of how people construct meaning within complex and ambiguous organisational environments.
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