ANL - Reservation Patterns Dashboard
Reservation dashboards for Workplace
Reservation Insights
Reports on reservations that are NOT CANCELLED
Contains detailed timelines
Per hour, day, week, month
Calculates metrics per meeting resource
Reservation rate
Avg. reservation duration
Use this dashboard to gain insight in how meeting resources are booked
Reservation Patterns
Reports on all reservations (INCL CANCELLED + NO SHOW)
Does not contain detailed timelines
Only monthly trends
Calculates
Cancellation rate / Hours released
No Show rate / Hours reclaimed
Most popular reservation patterns
Use this dashboard to gain insight in people behavior
Comparing Reservations Insights vs Patterns
Reservation Patterns – “Summary” page
As a workplace manager
I want to get a quick summary insights on how people book and cancel their reservations
So that we can learn from booking patterns to increase awareness and encourage best-practices
Benefits
Get a more accurate representation of reservation insights data by including cancellations and no shows
Reservation Patterns – “Cancellations” page
View how many cancellations were made
Per month
Per building
Per organization
Cancelling in advance = good behavior
Reservation Patterns – “No shows” page
As a workplace manager
I want to see what are the “no show” patterns where the reserved space is not cancelled in advance
So that I can take appropriate actions to reduce the “no shows”
Benefits
View the total number of hours reclaimed by using the sensor trigger cancellation technology
(automatic) cancellations after the meeting starts = bad behavior
Reservation Patterns – “Reservations Patterns” page
View total hours reserved:
Per organization
Per category
Ex. Most popular reservation in Arnhem building is a workplace from 8 to 17
Benefits
Identify most popular reservation patterns
Gain insight in how people are booking spaces and resources
Reservation Patterns – “Data” page
As a workplace manager
I want to get a quick summary insights on how people book and cancel their reservations
So that we can learn from booking patterns to increase awareness and encourage best-practices
Benefits
Find a clear overview of the key data points in the data page:
Reservations versus no show versus cancellations
Hours booked versus hours reclaimed versus hours released
User instructions