Most transformations don't fail loudly, they stall quietly

We measure whether the project was delivered. We rarely measure whether people actually changed. That gap is where most transformations quietly lose ground.

Having worked with a number of organisations navigating exactly this tension, Groov has seen transformation plans that were sound, technology that was ready and ambition that was real. What had not been fully accounted for was that significant parts of the workforce were still operating on workarounds and informal processes just to get basic work done. There was a material gap between work as imagined in the transformation plan and work as it was actually being done by the people delivering it every day. Organisational readiness for the change had been overestimated.  Progress was happening, but it was slower and harder than expected. Not because the technology was wrong or the ambition was misplaced, but because the human foundation on which the change depended had not been fully understood.

This is not an unusual story. A 2024 global analysis by BCG found that only one in four transformations delivers value-creating, enduring change. Despite better frameworks, significant investment and increasingly sophisticated technology, many organisations still struggle to translate transformation activity into sustained value.  The problem is not that organisations do not try hard enough. It is that most transformation approaches were designed for a world where change was periodic and bounded. A single system rollout. A restructure. A strategy refresh that never quite connects to how people are hired, managed or rewarded. Organisations today face something different: continuous, overlapping disruption. An AI rollout running alongside a restructure, running alongside a shift in ways of working, all while the workforce is carrying sustained fatigue. The frameworks have not kept up. In conversations among experienced change leaders, the same question keeps surfacing: are current approaches to change management equipped for this environment? Nobody has quite cracked it yet.

Transformation programmes often measure activity rather than impact. Did the software launch? Did the training happen? Were the communications sent? Did people attend the town hall? These are inputs, not outcomes. They tell you the change programme ran. They do not tell you whether the change delivered the intended value.

The data organisations rely on to track transformation progress is often dominated by lagging indicators. Engagement surveys run annually or quarterly, perhaps with a custom question or two included. Exit interviews are conducted after a person has already decided to leave. Adoption metrics are pulled months after go-live. By the time these signals surface, the window to course-correct has often narrowed. Resistance has hardened. Workarounds have become the new normal. The transformation has stalled, and nobody quite knows when it happened.

What is missing is visibility into the human reality underneath the change. How is pressure shifting across teams as the new system beds in? Where is resistance forming before it becomes a formal escalation? Which parts of the organisation are genuinely adopting new ways of working, and which are quietly reverting? These questions cannot be answered by a post-implementation survey alone. They require visibility while change is happening.

A 2024 study by EY and Oxford University's Saïd Business School found that 96% of transformation programmes experience at least one turning point, defined as a point when leaders believe the programme has gone (or is about to go) off track. When leaders successfully navigated those turning points by putting people at the centre of their response, their programmes were almost twice as likely to outperform target KPIs.

In practice, this requires more than better communications or more engaging training. It means tracking whether people are changing as the transformation unfolds and using those signals to intervene before problems escalate. That looks like:

• Visibility before the survey. Understanding how collaboration patterns, communication flows, and engagement signals are shifting during the change, not weeks or months after it.
• Early friction, not late escalation. Anticipating where resistance is forming, where leadership strain is building, and where adoption is stalling while there is still time to act.
• An honest baseline. Understanding existing ways of working, workforce capacity and readiness  before the transformation begins, rather than relying on  what the plan assumes to be true. That gap is often where transformations begin to lose ground.
• Support during the change, not after it. Reaching people with coaching and wellbeing support during periods of high change and pressure, before burnout or disengagement sets in.

The organisations best placed to navigate transformation are those that can see how change is affecting their people as it unfolds.  With sufficiently timely insight, they can anticipate emerging pressure, resistance and stalled adoption, and intervene before these become entrenched. That visibility does not come from better intentions. It comes from better data. 

When organisations launch a new product or feature, they do not stop at confirming that it went live. They examine whether customers are using it as intended, where they are encountering friction and whether it is delivering the expected value. Transformation programmes need the same visibility into how people are responding, adapting and changing the way work gets done. 'Build it and they will come' is not a change management strategy.