Foundation engagement
Event Measurement Blueprint
A clear event taxonomy and measurement plan for the workspace tools your teams already use.
Explore this engagement →Workspace event intelligence · UK
See the working day in the signals it leaves behind.
We help workplace, product and operations teams make sense of app events—so they can improve real journeys, not just report activity.
- Focused
- One operational question at a time
- Traceable
- Definitions and assumptions stay visible
- Useful
- Every finding has a decision owner
Signal → context → decision
Evidence with a next moveA clearer basis for change
Analytics grounded in how your workspace actually works.
Booking, access, service and collaboration tools create streams of events. Their volume can look convincing while their meaning remains uncertain.
We begin with the decision your team faces, establish which signals can answer it, and test whether those signals deserve trust.
Ways to work together
Start where the uncertainty is.
Focused analysis
Workspace Signal Review
A structured investigation of workspace event data to reveal friction, adoption patterns and unanswered questions.
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Ongoing advisory
Decision Rhythm
Monthly analysis and facilitated reviews that turn workspace events into accountable operational decisions.
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The strongest analytics practice is not the one with the most events. It is the one where people know what a signal means, how far to trust it, and what they will do next.
Our working principle
Measurement should reduce uncertainty without hiding complexity.
Recent thinking
Notes for more careful measurement.
28 July 2026
Which workspace events are worth measuring?
A practical way to choose events that explain behaviour instead of merely increasing data volume.
19 June 2026
From occupancy to intent: reading workspace demand carefully
Occupancy tells you what happened. Event journeys can reveal the intent and friction around it.
7 May 2026
A trustworthy event taxonomy is a team agreement
Why naming conventions alone are not enough to keep workplace analytics dependable.
An open first conversation
What decision is your workspace data struggling to support?
Tell us the question, what you currently measure and where confidence breaks down.
Discuss the evidence