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Spaces Filter Pane Explained

  • Updated

The Spaces page is your go-to destination for understanding how seats are used across different space types on your floors. Using the filter panel, you can narrow your analysis to the areas, timeframes, and conditions that matter most. Here's how each filter works—and why it’s useful.

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Filters Covered in This Guide

Use these links to jump to the filter you're interested in:

Connect "Spaces" Filters

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Filter: Building

  • You can select one building at a time.

Example Use Case
If you manage multiple office locations, you might want to compare utilization at your headquarters vs. a satellite office.

 

Filter: Floors

  • By default, all floors are included.

  • You can multi-select floors.

Example Use Cases

  • Choose just the 3rd and 5th floors to analyze a pilot redesign project without including unrelated areas.

  • Filter all the conference rooms located specifically on floors 3 and 6—helpful for assessing meeting space usage in high-demand zones.

 

The Space Tags Filter: What types of spaces do employees use the most—or least?

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Filter by: Space Type

  • This filter allows you to isolate patterns in how different types of spaces are used—making your insights far more precise and actionable than broad, general metrics.

  • Tags are customizable labels applied to your sensors (e.g., “focus room,” “phone booth,” “collab space”).

Why It Matters
Space tags help you understand what types of spaces employees use most often. If your “focus rooms” are constantly full while “open collaboration areas” sit empty, that’s a signal to reevaluate your space mix.

Example Use Case
Filter for “phone booths” to see if private call spaces are over- or under-utilized compared to your assumptions.

 

Filter by: Capacity

  • Lets you filter spaces by seat count.

  • Helpful to learn whether shared spaces are used as intended

Why It Matters
This is especially valuable for conference rooms. You can evaluate whether larger rooms are actually filled or often used by just one or two people.

Example Use Case
Look at rooms with 6–8 seats to determine if they're being used as intended, or if you should convert some to smaller huddle spaces.

 

Filter by: Other Tags (Department, Neighborhood, etc.)

  • These filters are based on any custom tag categories you've configured and are especially helpful for understanding how specific people or teams are using the space.

Example Use Case
Select the “Engineering” department to compare their usage patterns with “Marketing” and determine if they need different types of spaces.

 

Filter by: Room Name or ID

  • Search by exact room name or sensor ID. You can use this to filter down to one or multiple rooms.

Example Use Case:
If you received feedback about a specific meeting room being hard to book, filter by its name to analyze actual usage trends.

Time-Related Filters

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Filter: Date range

  • Default is the last 14 days.

  • Presets include This week, Last week, 30 days, 90 days, or a custom date range.

Example Use Case
Your selection here should match your intention—if you're looking to identify long-term trends, the 90-day option will give you a more comprehensive view. If you're checking in regularly to monitor recent changes or adjustments, shorter windows like 14 or 30 days allow for more agile decision-making.

 

Filter: Time of Day

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  • Default is Workday (8 AM to 6 PM).

  • Presets include Morning, Afternoon, Overnight or Custom time ranges.

Example Use Case
Compare morning and afternoon usage of collaboration spaces to see when they’re in highest demand.

Filter: Day of Week

  • Default is Monday to Friday (M–F).

  • You can customize the days included.

Example Use Case:
To better understand hybrid behavior, exclude Mondays and Fridays and focus your analysis on core in-office days (e.g., Tuesday through Thursday).

 

Take Your Analysis Further

Use these additional guides to deepen your understanding of space utilization with Connect:

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