Change Metrics: Are They Telling the Right Story?
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A People Plus Science perspective on what leaders, boards, and change teams are still getting wrong
A familiar scene plays out in organisations every day. A new system is launched. Training sessions are well attended. The communications plan is delivered on time. The change risk and progress dashboard shows green. Leaders feel reassured. Then, a few weeks later, someone walks through finance, operations, or a frontline team and sees it: the old spreadsheet is still open. People are still using the old process. The behaviour has not changed. This is the heart of the problem when we see transition and acquisition projects reflect progress of implementation rather than adoption – a big gap in belief versus reality. On paper, the change looked successful. In reality, people had quietly returned to what felt easier, safer, and more familiar.
At People Plus Science, we see this often. The numbers are not necessarily wrong. They are simply measuring the wrong thing. Training completion, communication reach, and early system logins tell us that activity occurred. They do not tell us whether people are actually working differently. And for leaders and boards, that distinction matters. Because if the metrics are only measuring activity, they may be giving false confidence that change is working when, in reality, the organisation has not moved at all.
“Activity can create the illusion of progress. Behaviour is the truth test.”
— People Plus Science
The tyranny of easy metrics
Most organisations measure what is easiest to count.
- training attendance
- communication open rates
- system logins
- satisfaction surveys
- champion participation
These are useful operational indicators. They are not evidence of change.
An 87% training completion rate tells you that 87% of employees attended a session. It does not tell you what proportion subsequently changed their workflow.
A 4.1 satisfaction score may indicate the learning experience was well received. It does not tell you whether decision quality improved.
This distinction matters because many organisations have come to confuse implementation activity with behavioural adoption.
The result is a familiar cycle:
- metrics look healthy
- leadership confidence rises
- actual behaviour remains unchanged
- adoption weakens
- intervention intensifies
- more training is deployed
In economic terms, this is a classic measurement failure.
When the proxy becomes the target, it ceases to be useful.
“If the metric cannot see behaviour, it cannot guide investment.”
— People Plus Science
For boards, this is more than a reporting issue. It is a capital efficiency issue.
Why the brain prefers the spreadsheet
Neuroscience helps explain why apparently rational change initiatives fail to convert into sustained behaviour. The brain is, above all, an efficiency machine. It privileges familiarity. It conserves cognitive effort. It defaults to established neural pathways because those pathways reduce energy expenditure and uncertainty. The spreadsheet survives because it is not merely a tool. It is a deeply embedded habit loop. It carries certainty. It reduces cognitive friction. It preserves identity and competence.
The new system, by contrast, introduces ambiguity, performance risk and social exposure. In practice, employees unconsciously ask:
- Is this easier?
- Is this safer?
- Does this help me perform?
- Will others judge me if I get it wrong?
If the answer is unclear, behaviour reverts.
This is why communication-led change so often disappoints. Information is not the same as neural rewiring.
“People rarely resist change itself.
They resist uncertainty, friction and threat.”
— People Plus Science
This is precisely where leadership narratives need to mature.
One behaviour, three different failures
One of the most important insights from Robert Meza, organisational and behavioural change expert, is that a single adoption issue may reflect multiple entirely different barriers (based on the original work of It was created by Andrew Darnton with colleagues at the University of Manchester, and launched by the Scottish Government in 2013).
Take the failure of relationship managers to log risk flags. At surface level, this appears to be one behavioural problem.
At diagnostic level, it may be three.
- belief failure (individual): prior systems did not produce action
- design failure (system): the workflow is too cumbersome
- social failure: senior peers are not modelling compliance
Each barrier requires a different strategic intervention.
And yet many change programs default to the same response:
- more communication
- more training
- more engagement sessions
This is where organisations confuse effort with effectiveness.
At People Plus Science, we use a three-level diagnostic model.
Individual
What is happening cognitively and emotionally?
- motivation
- confidence
- role identity
- perceived risk
- cognitive overload
Social
What norms are shaping behaviour?
- peer modelling
- leadership signals
- trust
- psychological safety
- informal cultural rules
System
What structural friction exists?
- workflow design
- incentive conflicts
- approval bottlenecks
- policy inconsistency
- time burden
In our experience, system failures are routinely underestimated.
“If the environment punishes the desired behaviour, culture will always lose.”
— People Plus Science
What leaders and boards need to ask instead
Leaders and change makers should be less interested in exposure metrics and more interested in behavioural evidence.
The critical question is not:
How many people were trained?
It is:
What observable behaviour has changed, and how durable is that change?
This requires a different reporting architecture.
For example:
- Instead of: % trained. Report:% of workflows now completed through the new system
- Instead of: engagement score. Report: decision cycle time before and after change
- Instead of: system logins. Report: reversion rate to legacy process
These are economically useful indicators because they measure realised value.
Boards govern outcomes, not activity.
The People Plus Science framework: from diagnosis to sustainment
This is where our framework departs from conventional change management. We do not begin with communication. We begin with diagnosis.
Diagnose
We assess the full behavioural ecosystem:
- psychological safety
- trust
- psychosocial hazards
- leadership dynamics
- decision quality
- workflow friction
Using our MICARES framework, we examine:
- Motivation
- Importance
- Certainty
- Autonomy
- Relationships
- Equity
- Shared Values
This allows us to identify whether the barrier is cognitive, social or systemic.
Decode
We analyse how decisions and behaviours are actually occurring. Where do people revert? Where do leaders unintentionally reinforce the old model? Where is the organisation signalling risk rather than safety?
Design
Only after diagnosis do we intervene. This may involve:
- redesigning workflow architecture
- reducing cognitive load
- strengthening psychological safety
- aligning incentives
- improving leadership behaviour
Sustain
This is where metrics matter most. We track:
- behavioural persistence
- trust movement
- decision quality
- risk reduction
- adoption durability
This ensures change moves beyond launch activity into organisational capability.
“Sustainable change is measured in habits, not headlines.”
— People Plus Science
The strategic implication
The central issue is simple. Many organisations are still reporting the efficiency of the rollout rather than the effectiveness of the change. That distinction creates false confidence.
For leaders and boards, the strategic risk is that resources continue to be allocated toward interventions that look productive but do not alter behaviour.
This is why the question for every board this quarter should be:
Are our metrics describing the implementation—or the actual shift in behaviour and decision quality?
If it is the former, the numbers may be comforting. They may also be dangerously incomplete. And in organisational change, comfort is often the enemy of truth.
“We work with organisational leaders to make the “invisible – visible” , putting you in control and providing teams with the supports they need to thrive. Carolyn Grant
Interested in Learning More?
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