Leased sqm is one of the top three cost lines of a service company. Optimising occupancy can generate 20-40% savings. Illizeo provides the data to steer it, without individual surveillance.
Key indicators #
| Indicator | Formula | Target |
|---|---|---|
| Average occupancy | Booked / available | 60-70% |
| Effective utilisation | Present / booked | > 80% |
| Desk / employee | Desks / active | 0.6 to 0.8 |
| Weekly peak | Busiest day | Tuesday usually |
| Underused rooms | Less than 30% of time | To reclassify |
Step-by-step #
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Measure for 1 month #
Enable mandatory check-in to distinguish booked vs present. A month is enough to see patterns.
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Identify bottlenecks #
Tuesday-Thursday 80% saturated, Monday-Friday 30%. Incentivise spreading?
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Reclassify spaces #
Unused rooms => desks or phone booths. Underused open space => creativity room.
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Test subletting #
1 or 2 floors as internal or external coworking. Generates revenue and frees sqm.
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Iterate quarterly #
Adjust the plan, attribution, policy. Real usage evolves with habits.
FAQ #
Won’t this stress teams?
Not if data is used to optimise, not to surveil. No individual tracking, only aggregates.
How many desks per employee?
0.6 to 0.8 depending on remote work rate. Below 0.6, peaks become unmanageable.
How to fight no-shows?
Check-in on arrival + auto-release after 15 min. Cuts no-shows by 70%.
What about Gen Z?
Prefers varied spaces (booth, lounge, high table) to assigned desks. Adapt the layout.
