Office Trips analytics

All plans support

  • Viewing reservation type, floors & check-in data

View advanced department data trends

  • Premier plan

Required permissions

  • View Analytics

Use the Office Trips page for a people-centric view of who’s coming into the office, including specific departments, and for insights into what types of desks each department utilizes.

Admins can also view the percentage of desks that were checked into to have a more accurate representation of who actually showed up to their desk booking.

Global & local admins and user roles with the Analytics permission can navigate to the Analytics page > Office Trips tab to view the data and charts. 

Use the menus located on the top and side of the graph to display key insights: 

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  • Select a custom date range to view graph data.

  • Toggle between view types: Reservation type, Floor data, Department data -Department data requires a Premier plan.

  • Filter by desk types, floors, departments, and check-in data to customize information on graphs.

  • Hover over bars in the chart to view tooltips with more information.

  • Use the export option to export the graph as a png or .csv file to share with others. 

 

Available data based on plan

Basic & Pro:

  • Can view reservation type & floor type data and check-in data.

  • Cannot view department data or filter by department. Will see a lock icon next to “view by departments”.

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Premier:

  • Can view department-level insights if have SCIM integration (Okta, Azure Active Directory, OneLogin) and have synced over department data.

  • Have a SCIM integration (Okta, Azure Active Directory, OneLogin), but don't have department data synced, then you'll see "None" for departments in the filter menu and will not see any department data in the graph.

  • If you don't use any of the above integrations, refer to this guide on how to build a custom integration. Reach out to your Robin account manager for assistance!

Discover key insights 

Compare the number of desk reservations & identify the reservations that were actually checked into.

Example:

In the graph below you can see that 58% of desk reservations were checked in. Notice that the checked-in line is always lower than the number of desk reservations, therefore, you might want to roll out an announcement to remind folks to check in to their desks to improve reporting accuracy. 

Keep your desk check-in policies in mind; do you require all desk types (assigned, hot & hotel) to check-in or only hot & hotel desks. 

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Understand office traffic on any given day

Example:

In the graph below, you can see that Tuesday & Wednesday tend to be the busiest days from July 10th, 2022- Aug. 10th, 2022. 

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See what departments are coming into the office on a given day and assess and compare visits to other days to identify trends

In the example below, you can see that Marketing, IT, and HR come into the office most frequently but, Marketing has the highest number of visits on average. On the flip side, Sales comes in the least.

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Identify which departments are coming in the most often and how they utilize desks to help with space-related decisions

In the example below, the Support department came into the office the most often.

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Drill into how specific departments utilize desks

How:

1. Set the location and date criteria.

2. Select department at the top left as your "View by" option.

3. Under the desk type menu select "All"

4. Select a specific department, such as Sales, to drill into. 

For example, we filtered by the Sales department and you can see that the Sales team predominantly uses assigned desks. If we were to expand the sales department, we may want to ensure there are enough assigned desks for this department.

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Learn what days of the week are the busiest overall & for a specific department to optimize the space for those days  

For example, a workplace manager can see that Wednesdays and Thursdays are the busiest days of the week for Finance in July (captured below).

finance_ex.png

You can expand the date picker to show a longer period, such as June 1st to July 31st, (captured below), and validate that Wednesdays and Thursdays are the most popular dates. After learning this, you may take precautionary steps to ensure the office is well stocked before and after Wednesdays and Thursdays.

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Customize data on the graph to better understand and compare visits

For example, as a workplace manager, you know that there are plans to grow the Sales team by end of the quarter. The team manager has requested some information on how often their team members are coming in so they can schedule a monthly in-person meeting.

You can customize the data to only display specific teams and identify the busiest day specifically for that team. Looks like the sales team comes in consistently across days of the week, except for some outliers. 

sales_consistency_.png

 

FAQ

Q: How does the Office Trips analytics differ from the Desk Utilization analytics?

A: Let’s take this example, Mariah books two desks for Monday and checks into the office when she arrives in the morning. The Office Trips graph will count her check-in once (even if she has two desks) and will count her as one visit.

When calculating desk utilization, we would say two desks were utilized even if one person booked them because we’re focused on the number of desks not people at desks.

Q: Why am I seeing "None" for the department filter menu?

A: You're on the Premier plan with a SCIM integration, but you don't have department data synced.

 

 

 

 

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