Organisations measure the wrong things.
They track:
- training completion
- document production
- framework maturity
All of it looks like progress.
None of it measures learning.
A better lens
From practice:
👉 Learning Throughput = the rate at which knowledge becomes effective action
Not stored.
Not described.
👉 Used.
Extending that:
👉 Adaptive Capacity = the rate at which new ways of working emerge and spread
Where SECI fits
SECI is the mechanism that enables this conversion:
- Socialisation → exposure to experience
- Externalisation → articulation of insight
- Combination → integration into structure
- Internalisation → embodied action
But this is the part that is usually missed:
👉 Only Internalisation produces throughput
The two layers
There are always two systems operating:
Knowledge Layer
- artefacts
- models
- repositories
- explicit structures
Learning Layer
- practice
- feedback
- behaviour
- consequence
Most organisations operate almost entirely in the first.
👉 That’s why learning appears to happen
👉 but nothing changes
The gap
You can have:
- a complete Business Capability Model
- a well-structured data architecture
- a coherent strategy
…and still have:
👉 no change in decisions
👉 no shift in behaviour
👉 no increase in capability
Because:
👉 Knowledge has not crossed into the learning layer
📖 Narrative Example — From Transform, Lead and Navigate
The NaturFlourish Business Capability Model
The model existed. Bruno had developed the use of AI in the closing chapters of Adapt, Survive and Flourish as a straw man to demonstrate the power of Enterprise Architecture. When he was offered a job at NaturFlourish, he naturally took it.
It was coherent.
It held together.
No one objected.
Then it was used for real in the business.
- Decisions didn’t quite align
- Assumptions didn’t quite hold
- Questions didn’t quite fit
The conversation changed.
People slowed down.
Agreement became hesitation.
The model didn’t fail.
👉 But it stopped being taken for granted. It was treated as the truth.
This is where something important changed.
Not in the model.
👉 How people used it.
- Decisions were made using it,
- Assumptions were applied,
- The model began to shape behaviour.
_____________________________________
At first, this looked like success.
It wasn’t that simple.
- Some decisions improved
- Others didn’t quite align
- Some assumptions held
- Others began to drift
The conversation changed.
People slowed down.
Agreement became hesitation.
The model didn’t fail.
👉 But it stopped being taken for granted.
________________________________________
What was happening?
- Learning was taking place.
- People were using the model
- They were adapting to it
- They were building confidence in it
👉 Knowledge was becoming action.
But something else was happening at the same time.
👉 The flaws in the model were being learned as well.
This is the critical distinction.
Throughput was present. But validation was not.
The organisation was:
- changing behaviour,
- improving consistency,
- spreading a way of working.
People had misgivings, but no one said anything because this was the new way.
But it was doing so:
👉 on a foundation that had not yet been tested.
It ended when Mallory called it out as being incomplete and untested. It was not fit for purpose because it had not been socialised and tested on the shop floor.
It was only later, when it had been properly socialised in Gemba, that it became fit for purpose.
________________________________________
Why this matters.
Learning throughput tells us knowledge is being used
But It does not tell us whether what is being learned is correct
This is where many organisations fail.
They achieve:
- adoption,
- alignment,
- momentum,
- …but on flawed assumptions.
The missing step
The model did not need more use.
It needed:
- Challenge,
- Contradiction,
- And exposure to consequences.
It needed not just learning. But learning that can survive reality.
Throughput was present. But validation was not.
Organisations do not just fail to learn.
They often become highly efficient at learning the wrong things.
The test of learning throughput
Three conditions must be present:
- Change in action
People do things differently
- Effectiveness in practice
The change produces better outcomes
- Diffusion
The change spreads
If any are missing:
- change without results → noise
- results without spread → local optimisation
- spread without change → compliance
Lessons from Adapt, Survive and Flourish and Lead, Transform and Navigate:
👉 Learning is only real when it changes behaviour under pressure.
Everything else is preparation.
What SECI actually builds
SECI does not just create knowledge.
It builds:
Social Capital (tacit flow)
- relationships
- trust
- shared context
Human Capital (explicit flow)
- skills
- models
- tools
Together: they generate Adaptive Capacity
Why organisations struggle
Because they optimise for:
- speed
- output
- delivery
…while removing:
- reflection
- practice
- feedback
- challenge
The result:
👉 throughput collapses
👉 learning slows
👉 adaptation fails
Final thought
Organisations don’t fail because they lack knowledge.
👉 They fail because they cannot convert knowledge into action fast enough.
- Most organisations measure what they produce.
- Very few measure what they become.