Skedda's Insights feature is a rich, compelling and fast analytics and reporting solution designed to empower the decision-makers at your organization.
This feature is part of our Pro plan and above.
At a high level the Insights dashboard includes filtering and reporting controls, key performance indicators (KPIs), charts and tables.
Learn more about who has access, how to test this, and more in the FAQs section!
The Insights dashboard includes a number of filtering controls to extract valuable information from your data.
The date range filter controls the time period on which the displayed information is based. There are a number of preset ranges (Last week, Last month, Last 3 months, ...) as well as a Custom range option (note that custom ranges are limited to spanning up to 3 months at this time).
Note on the comparison with the previous period: For a chosen date range, the percentage values used for the trend indicators (i.e. the little green and red arrows) are computed by comparing the main date range with its equivalent previous period. For example, if you choose Last week as the main date range, then the week before it used as the comparison. For custom date ranges, the previous period is the equivalent count of days directly preceding it (e.g. if your custom main range is 8–10 November, than the previous period used for comparison is 5–7 November).
Here you can filter by one of you space views that you have set up. Perhaps you want to ignore your desks and focus on just your rooms, for example. If you don't have any such views set up and you have permission, you can create one directly from the Insights page if (just note that the view created here is then available account-wide as if it were created on the scheduler).
Filter the insights dashboard to only consider those bookings associated with certain user tags. For example, focus only on bookings for users in Marketing or Sales, or perhaps those users that have neither of those tags. You can manage user tags directly from the Insights page if you wish/have the permissions.
KPIs, Charts and Tables on the dashboard
KPI: Utilization %
The average utilization percentage across all spaces and bookings matching your selected filters.
Note that the trend indicator here is not showing the number of percentage points by which the utilization has changed, but rather the relative amount by which the percentage has changed. For example, if the utilization were 20% in the selected period and 10% in the previous period, then the utilization trend would show a 100% increase because your utilization doubled from one period to the next.
The total number of user- and internal-type bookings matching your selected filter controls.
If a booking is for multiple spaces, it’s still only counted once.
If a booking is a repeating/recurring booking, it is counted once for each date on which it occurs within the dashboard’s specified date range filter.
A user- or internal-booking is counted for this metric even if it’s created outside the hours of availability. This is in contrast to computing utilization, where such bookings are ignored.
The distinct count of users that hold the bookings in the Bookings KPI above. Casual User is not counted.
KPI: Busiest Time
The time of week having the maximum utilization (averaged across all occurrences of that day of week in your date range filter). This corresponds to the darkest area on the Utilization by time of week chart. If there are multiple times of the week with the same maximum utilization, only one of them will be shown here.
Chart: Utilization by weekday
This chart displays your utilization percentage broken down by day of week, considering only the bookings matching your filters. For example, this chart might indicate that you have a mid-week mountain of utilization, perhaps motivating you to look into strategies for distributing use to other days. Note that days with an N/A utilization will not be shown. Hovering or tapping on a bar shows additional information.
Chart: Utilization by time of week
This matrix chart shows utilization distributed by weekday and time of day. Darker colors represent higher utilization percentages, so this is a kind of heat map. This chart can highlight the most-utilized times of the week at a finer level of granularity than the Utilization by weekday chart, helping you to understand popular periods of the day and booking trends. Color darkness levels are normalized (i.e. the maximum utilization will always be very dark, even if it represents a small utilization percentage) in order to improve contrast and therefore pronounce differences between maximum and minimum utilization. Hovering or tapping on a cell shows additional information.
Chart: Utilization timeline
This chart shows the evolution of utilization across time within your date range filter, at the granularity of days and considering only the bookings/spaces matching the selected filters (note that dates with an N/A utilization are not shown). Hovering or tapping on a line point shows additional information. This chart can help you understand how volatile your utilization is, and if it's trending up or down over time.
Chart: Duration breakdown
This colorful donut shows the percentages of bookings with certain durations (or duration ranges). Combined with the Spaces filter, you could use this donut to see the duration of bookings for your meeting rooms, for example. Hovering or tapping on a donut segment shows additional information.
Table: Top users (sortable)
This table shows aggregate statistics for users that have a booking in either the main date range or the previous date range (the previous date range is used for the Trend comparison). Users without a booking in either period are not shown in this table.
The Hours value refers to the total duration for which spaces were booked by the user. Specifically note that a two-hour booking for two spaces represents four hours of usage (i.e. usage is the booking duration multiplied by the booking's number of spaces). The Trend information compares the Hours usage value between the previous and main date ranges. The Bookings, Hours and Trend headers can be clicked/tapped to sort the table, however note that the table cannot be paged at this time.
Table: Top spaces (sortable)
This table shows aggregate statistics on a per-space basis. The Bookings, Utilization and Trend headers can be clicked to sort the table. The Trend information compares the utilization between the previous and main date ranges.
Generate a report
You can quickly generate a report of the current state of your dashboard, ready to send to management! Click the Report button at the top right (note that this button is not available on mobile devices).
Key concept: Utilization
Utilization percentage is an important metric expressed in various Insights elements. It can be intuitively understood as the fraction of a space’s available time which was actually used for something valuable.
Skedda is a sophisticated and powerful scheduling platform with many policy-based features, so it's useful to elaborate on what we exactly mean by a space’s available time and its valuable usage.
To figure out when a given space was actually available for booking on a given day, Skedda does the following:
Start with the times of the day that the space was open, as defined by the Hours of availability.
From these, subtract:
Any times explicitly/directly booked using an unavailable type booking.
Explanation: We don’t count unavailable bookings for a space towards its availability, because such bookings are used to indicate that the space is out of action for those times. This might result from a public holiday, repair work or similar. As such, times marked as directly unavailable are treated just like closed times.
Any times implicitly made unavailable as a result of space-sharing rules.
Explanation: If a booking for one space makes one or more other spaces unavailable due to space-sharing rules, then this is likewise placing those other spaces out of action.
Any unavailable times caused by buffer-time rules
If a booking for one space makes neighboring times for that space unavailable, then this is likewise placing the space out of action for those times.
The result is a set of times on the day for which the space was actually available to be booked.
Now that we have the available time for a space, we can turn to what valuable usage of a space is. In short, it’s just those available times that are taken up by regular user-type bookings and internal-type bookings.
The ratio of a space’s valuable usage time to its available time is what we define as utilization. We always express this fraction as a percentage, and it’s always between 0% and 100%.
If there are no available times from which to compute a utilization metric, then the relevant dashboard element will either not be shown or will show N/A. For example, if Saturday has no Hours of availability at all, then Saturday won’t be shown on the Utilization by weekday chart.
If a user booking or internal booking is created outside the hours of availability for the space, it’s ignored in utilization calculations. That is, only those bookings that are within the available times for a space contribute to utilization.
If you’re filtering the Insights dashboard by user tags, then the utilization metrics will normally be lower than when considering all tags, because the valuable usage for a space computation will only be considering those bookings that match your tags filter. For example, the utilization for bookings held by users tagged IT team might be 10%, whereas your overall usage considering all bookings might be 30%.
How often is the information updated?
Insights information is recomputed every four hours. The Last updated time at the top-right of the dashboard indicates the time at which the information was computed.
Which users have access to the Insights dashboard?
By default, only the Owner and System Admin have access to the Insights dashboard. If you wish for certain Booking Admins to also be able to access the Insights dashboard, please reach out to Skedda support and we will help you configure this.
Is there a test/demo mode?
Yes! We've built in a demo mode that fills your Insights dashboard with gorgeous synthetic data. Append
testmode=1as a query parameter to your Insights URL. That is, your Insights test/demo mode URL is:
Note that this is the mode that you see if you haven't yet upgraded to Skedda Pro or above (i.e. you'll see dummy data if you're not at the right plan level).
Can I save a particular combination of filters?
Yes! Skedda automatically updates the URL in your browser's address bar when you modify your filters, so you can bookmark the link and you'll land on the same filter state when you follow the link in future.