The Planned Collaboration Dashboard focuses on the data that goes into calculating the Planned Collaboration Score.
You can also find a chart that categorizes your events using a large language model (LLM). Robin runs your event data through an LLM in order to categorize your events into the groups on the right. You can filter by campus, building, floor, department, space type, capacity, and day of week.
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What can I learn from this chart? |
What can I do with this information? |
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How many people, on average, were present in booked spaces? |
This data shows you how many people were present in the office in booked spaces in the given date range in order to help you understand space usage trends and forecast space usage needs. |
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What percentage of meetings had a single vs multiple in-person attendees? |
This data can help you understand how many meetings are being taken in the office with only one person actually present in the office. This can help you decide whether you need more phone booths or single person spaces to take calls. |
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On average, how many daily meetings had multiple attendees in the office? |
This data shows you by department how many meetings had multiple attendees in the office. The departments that have more meetings with more attendees likely have stronger in-person collaboration. |
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On average, how many daily meetings had a single attendee in the office? |
This data shows how many meetings by department had only one person in the office. |
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Meetings by Category |
View meeting categorization. Your meeting titles and descriptions are run through a large language model in order to bucket your meetings into categories to help you better understand how your spaces are being utilized. |
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How is in-person meeting attendance trending by building? |
From week to week see how many meeting attendees are attending in-person in each building. If these numbers are low, think about creating anchor days where people in the same departments or on the same working teams are coming in on the same days for their meetings. You are able to filter by department. |
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How is in-person meeting attendance trending overall? |
From week to week, see how many people are attending meetings in person at your company. |
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How many meetings per building involve a single on-premises person? |
From week to week, see how many meetings in each building involve a single person on the premises. |
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How many meetings involve a single on-premises person? |
From week to week, see how many total meetings only have one person present in-person in the meeting room. |
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What percentage of in-person meetings are with the same departments vs. mixed departments? |
Understand what percentage of meetings that include people who are on premises are happening within the same department as opposed to across departments. |
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How is the percentage of in-person vs. virtual meetings trending over time? |
This data shows the percentage of meetings that include at least two people in-person in the meeting versus meetings that are virtual, who have no people showing up in-person. |
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How is meeting room attendance trending over time? |
This data shows the number of people who are in-person in the meetings over time. |