User Reservations Trend
This page provides user-level insights into reservation data.
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This page provides user-level insights into reservation data.
Last updated
Was this helpful?
The charts display the top or bottom N users based on their highest reservation counts which is categorized by resource type.
Identify power users and optimize booking policies.
Detect underutilization by tracking low-usage users.
Improve resource allocation by analysing frequent usage trends.
The charts display the top or bottom N users ranked by their total reservation duration (in days), categorized by resource type.
Identify users occupying resources for extended periods.
Optimize resource allocation by balancing long and short reservations.
Improve booking policies by detecting users who overuse resources.
The charts display the top or bottom N users based on their highest reservation counts, categorized into morning, afternoon, and all-day time periods.
Identify peak booking times for different users.
Optimize resource availability by time of day.
Detect underutilization trends in specific time slots.
The charts display the top or bottom N users with the highest number of no-show reservations. No-show reservations refer to bookings where a user reserved a resource but did not utilize it. It is linked to a sensor, which identifies reservations as no-shows if the reserved resource is not detected.
Identify users who frequently book but do not show up.
Improve resource availability by reducing no-show rates.
Implement automated cancellation policies for repeated no-shows.
The KPI cards display individual user metrics. When a user is selected from the filter, the KPI cards update accordingly. However, the Total Users card is static and does not change with the filter, it always shows the total number of users.
Monitor individual user activity for booking trends.
The summary table displays the raw data for all bookings made by users within the selected time range. This data is used to create the above charts. Users can download the data as a CSV file or create their own charts from the summary table.
Allows users to export data for further analysis or reporting.
