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Case study · DRIVE™ Adaptability Diagnostic

The barriers their metrics never showed

We partnered with a management team struggling with adoption to understand why it kept stalling. Through our diagnostic, we identified 62 operational pain points their metrics never showed, and traced the organisational conditions holding adoption back.

62

Operational pain points

68%

Caused by organisational conditions

78%

Still using our tools by Day 16

3

Brain-response patterns mapped

What we found

From stalled adoption to a shift in behaviour

01 · Challenge

Why adoption stalled

A management team was struggling with adoption. We partnered with them to find the cause.

02 · Key findings

62 hidden barriers

We found 62 barriers their metrics never showed, all linked to the organisational environment.

03 · What the assessment revealed

Linked to how people respond to change

Pattern 1Pattern 2Pattern 3

Using the LEAD™ Framework, we mapped these to the workforce’s adaptive brain responses, and identified the three patterns driving low adoption.

04 · Business implications

Conditions, not resistance

68% structural organisational conditions

68% of the low adoption came from structural organisational conditions, not individual resistance to change.

05 · Outcome

Behaviour, not awareness

78%

By Day 16, 78% of participants were still using our tools, a shift in behaviour, not just awareness, moving toward stronger adoption.

It improved my efficiency and the quality of my outputs. I have already seen a positive impact in my daily work.

Senior leadership

Enjoyed the scientific approach to helping manage barriers when under pressure, it gave me permission to protect time for important tasks.

Operational delivery

Find the barriers your metrics don’t show

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Findings from a NeuroAIQ engagement, anonymised. Figures are the client’s own, from a measured post-engagement follow-up.

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