Users Reservations Trend

This page provides user-level insights into reservation data.

1. Total Reservations by User or Team

Description

The charts display the top or bottom N users or teams based on their highest reservation counts which is categorised by resource type.

Use Case

• Identify power users and teams, optimise booking policies.

• Detect underutilisation by tracking low-usage users and teams.

• Improve resource allocation by analysing frequent usage trends.

2. Total Reservations Duration(days) by User or Team

Description

The charts display the top or bottom N users and teams ranked by their total reservation duration (in days), categorised by resource type.

Use Case

• Identify users and teams occupying resources for extended periods.

• Optimise resource allocation by balancing long and short reservations.

• Improve booking policies by detecting users and teams who overuse resources.

3. Reservations Time Breakdown by User or Team

Description

The charts display the top or bottom N users and teams based on their highest reservation counts, categorised into morning, afternoon, and all-day time periods.

Use Case

• Identify peak booking times for different users and teams.

• Optimise resource availability by time of day.

• Detect underutilisation trends in specific time slots.

4. No-Show Reservations by User or Team

Description

The charts display the top or bottom N users and teams with the highest number of no-show reservations. No-show reservations refer to bookings where a user or team reserved a resource but did not utilise it. It is linked to a sensor, which identifies reservations as no-shows if the reserved resource is not detected.

Use Case

• Identify users or teams who frequently book but do not show up.

• Improve resource availability by reducing no-show rates.

• Implement automated cancellation policies for repeated no-shows.

5. KPI cards by User or Team

Description

The KPI cards display individual user or team metrics. When a user or team is selected from the filter, the KPI cards update accordingly.

Use Case

• Monitor individual user or team activity for booking trends.

6. Summary Table

Description

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.

Use Case

• Allows users to export data for further analysis or reporting.