Space use efficiency | InnerSpace Help Center & Documentation

You already have Occupancy % (how full a room gets when used) and Utilization % (how often a room is used). When viewed together, these two metrics offer deep insight into space performance and can guide optimization decisions.

To understand the combination of these two measures at glance, InnerSpace has created the Space use efficiency metric. Which plots each space and it's Utilization % (time in use) vs. Occupancy % (fullness).

It is helpful to imagine this data as a 2x2 matrix with 4 quadrants, with the corners being areas that need attention and focus.

Basic interpretation chart

	Low Occupancy % (Room underfilled when in use)	High Occupancy % (Room often full when in use)
High Utilization %<br>(Used often)	Under-capacity but Busy Rooms are booked frequently but don't get close to full capacity. Action: Consider reallocating to smaller teams or reconfiguring the space to better match typical group sizes.	Consistently Crowded High demand and frequent use. These are your core spaces. Action: Prioritize for maintenance, consider increasing capacity or creating more spaces like this.
Low Utilization % (Used infrequently)	Underused & Underfilled Rooms that are rarely booked and under capacity when they are. Action: Evaluate whether the space should be redesigned, repurposed, or removed.	Short-Burst Crowded Rooms fill up quickly but aren’t used often. Typically used for short, dense activities. Action: Improve booking practices and reduce idle time between uses.

How to Use This Framework

Segment by space type
Analyze meeting rooms, desks, and collaboration areas separately - they often behave differently.
Use longer timeframes
Review data across weeks or months to identify patterns, not isolated events.
Prioritize extremes
- High occupancy + high utilization = protect and expand
- Low occupancy + low utilization = investigate for repurposing
Watch for mismatches
High utilization with low occupancy may signal inefficient space allocation.

Space Type Use Efficiency (Aggregated View)

This view shows how entire space types (not just individual rooms) perform by plotting their average Occupancy % and Utilization % on the same continuum as the individual-space chart. Each bubble represents a space type, and the bubble’s size reflects how many rooms of that type exist in your workplace.

What this view tells you:

Where each space type sits overall — frequently used, rarely used, often full, consistently underfilled, etc.
How well each space type matches actual demand — e.g., whether meeting rooms are oversized, if focus rooms are overbooked, or if informal workpoints are underused.
Portfolio-level imbalances — large bubbles in low-use or low-occupancy areas reveal where you may have too many rooms of a given type.
Opportunities for reallocation or redesign at scale, not just room-by-room fixes.

How to interpret bubble size:

Larger bubbles mean the space type exists in higher quantity, so inefficiencies have broader impact.
Smaller bubbles indicate niche or specialized space types; their position highlights targeted improvement opportunities.

This aggregated view helps you step back from individual spaces and understand whether your overall mix of space types is aligned with how people actually work.