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About Connect Raw Data Report

  • Updated

If you need to analyze occupancy data outside of the Connect app—whether you're building reports, comparing sites, or exploring specific trends—the Download Raw Data feature gives you access to a detailed CSV file delivered to your inbox.

How to request the report

  1. Go to the Spaces page.
    Spaces (3).svg
  2. Make sure "seats" are selected in the "Seats/spaces" filter in the filter pane (Default)
  3. Click the download icon in the top right corner of the screen
    download button.svg
  4. A dialog will appear that says “Get data sent to your inbox”
  5. Select your prefer format: CSV or XLSX format
  6. Click Send.
  7. Check your inbox for an email with the CSV file.

 

What’s included in the report?

The spreadsheet includes a row for every space, organized by two key fields: Tag Name and Tag Group. These reflect how your spaces are labeled and categorized in Connect.

Tag Name

Example: Spaceship or Room A 
 

This is the specific name assigned to a space in Connect. It reflects how you or your team labeled the individual room, zone, or area—such as a meeting room, neighborhood, or open seating section.

Use it to:

  • View performance metrics for that exact space.
  • Answer: How is the Spaceship Conference Room being used? Is it occupied often, or could it be repurposed?

 

Tag Group

Example: Space Type, Department, Room Name


This is the category that the tag name belongs to. In Connect, these are called tag groups, and they help organize and group your spaces in a meaningful way.

Common examples of tag groups include:

  • Space Type → with tag names like Conference Room, Phone Booth, Desk
  • Department → with tag names like Sales, Engineering, HR
  • Room Name → with tag names likeSpaceship, Room A, Huddle 3

Why this matters:

  • It defines the lens through which you're analyzing your data.
  • For example:
    • If Tag Group = Department, you’re comparing space use by team.
    • If Tag Group = Space Type, you're comparing how different types of spaces perform.
    • If Tag Group = Room Name, you’re comparing individual spaces one-to-one.

⚠️ 

Reminder: If your goal is to compare space types, you can do that directly in Connect! The Spaces page includes a built-in Space Type comparison chart that visualizes how different types of spaces are performing. You don't have to leave the platform to get this view—and a screenshot of that chart is included below.

The Connect app is designed to help you explore these insights visually. Use the CSV export when you want to dive deeper, blend with external data, or create custom summaries.

 

Capacity

Example: 20
Total number of seats available in the space.
Use it to: Understand how many people the space is designed for and compare that to actual usage.

 

Avg Utilization (#)

Example: 8
Average number of seats used over the selected time range.

Answers: How many people are typically using this space?

 

Avg Utilization (%)

Example: 40%
Average occupancy as a percentage of capacity.

Answers: Are these seats being used consistently?

 

Peak Utilization (%)

Example: 95%
The highest percentage of seat usage observed during the time period.

Answers: How busy did this space get at its peak?

 

Peak Utilization DateTime

Example: 2024-10-02 2:00 PM
The date and time when peak utilization occurred.

Answers: When was this space most in demand?

 

Avg Daily Vacant Seats (#)

Example: 12
Average number of unused seats per day in this space.

Answers: How much unused capacity are we carrying in this room?

 

Weekday Breakdown (Mon–Fri)

Each column shows the average utilization (%) for that specific weekday.

Use it to:

  • Spot trends like low usage on Mondays or high demand mid-week.
  • Adjust scheduling or communications to better match behavior.

 

Hourly Breakdown (e.g., 9am–10am, 10am–11am, etc.)

Each column shows the average utilization (%) for that hour block across the time range.

Use it to:

  • See what times of day are busiest.
  • Identify underused time blocks for possible scheduling shifts.

 

Note: Utilization data in Connect is captured in 30-minute intervals. This means that every 30 minutes, the system takes a snapshot of occupancy conditions—such as whether a space is in use and how many seats are occupied. 

Learn more in the article: What Does “30-Minute Intervals” Mean in Connect?

Why use this report?

This raw data report empowers your team to:

  • Validate or question space design decisions.
  • Spot daily and hourly occupancy patterns.
  • Identify peak demand and uncover inefficiencies.
  • Support team seating strategies and cleaning schedules.
  • Create custom dashboards and internal benchmarks.

Need help interpreting your report? Check out our [Put data into action] section or reach out to your R-Zero account team for strategic support.

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