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Designing for Reality: What Workplace Data Actually Reveals
We believe we know how offices are used. But the data tells a different story. Across more than 600,000 workplace data points collected from multiple office buildings, consistent patterns emerge and they challenge many of the assumptions still guiding workplace planning today. Frustration around meeting rooms is common. The default explanation is lack of space.
But when behavior is analyzed in detail, the issue is rarely volume it is mismatch.
- Mismatch between room size and meeting size.
- Mismatch between distribution and demand.
- Mismatch between design intent and actual work patterns.
In this session, Hodan Aden presents how occupancy data and optimisation models can:
- Replace subjective planning with measurable work patterns
- Reveal why availability problems often occur despite sufficient space
- Support right-sizing without compromising functionality
- Improve both user experience and building performance
Empire AI’s peer-reviewed research shows that it is possible to significantly reduce unnecessary meeting room area while maintaining availability. This is not about cutting space. It is about designing for reality.
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