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Sense-making, not measurement
Measurement
Sense-making
In complex systems, measurement alone isn’t enough. What matters is how people interpret their experiences and act on them.
Sense-making focuses on meaning, patterns, and differences across a system. It supports learning and adaptation, rather than compliance and control.
Our sense-making approach follows a simple logic:
People share short, real experiences
They make sense of those experiences themselves
Patterns emerge across many perspectives
Those patterns are explored collectively
Action is informed by insight, not assumption
Discovery
Sense-making
Insights to action
People share real experiences. Patterns emerge across perspectives. Action follows insight, not assumption.
Stories are not anecdotes to be explained away.
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When collected at scale and combined with self-signification, they become a powerful form of evidence.
This allows organisations to see both dominant patterns and weak signals. What’s common. What’s contested. And what’s emerging.
Sense-making doesn’t produce answers. It creates shared understanding.
That understanding supports targeted, safe-to-try actions, ongoing learning, and course correction over time.
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