Research & insights

We publish what we measure.

Our research philosophy is simple: collect data on real behaviour, compare it against what the workplace was designed to do, and report the gap — including when it contradicts us.

Our method

Observation, instrumentation, and asking people directly.

Every study combines three lenses. Passive data — badge records, sensors, room booking exports and wifi association logs — tells us what happened. Observational studies tell us how a setting was used, not just whether it was occupied. Surveys and interviews tell us why.

We report peak and average separately, name our sample sizes, and publish the limitations. Workplace data is noisy; pretending otherwise is how bad policy gets written.

Abstract visualisation of workplace occupancy data as a glowing heatmap grid

Reports & articles

Current research

Full reports are available on request while our library is being published.

Hybrid Work

Hybrid attendance: what twelve weeks of badge data really shows

Mandated days and attended days rarely match. We look at the shape of a typical week across office portfolios and what it means for how much space you actually need.

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Analytics

Space utilisation benchmarks: peak vs. average, and why the gap costs money

Most organisations plan against peak occupancy and pay for it every other day of the week. A framework for sizing against both.

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Strategy

Return to office: policy design that survives its first quarter

Policies fail on enforcement, not intent. What separates an anchor-day model that holds from one that quietly erodes.

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Design

Activity-based design without the backlash

Activity-based working gets blamed for noise and lost territory. The failure is usually in the ratio of settings, not the idea.

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