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ANL - Reservation Patterns Dashboard

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

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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

image-20240118-085114.png

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

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