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Difficulty: novice

Content

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Learning Objectives

After reading this article, you’ll be able to:

  • interpret data from the Reservation Insights Patterns Dashboard


Use Reservation Insights dashboard provides insight in the historical reservation data. The question it tries to answer is: “Based on data of reservations that are not cancelled, how can we optimize usage and learn from usage patterns?”Pattern dashboard to get quick summary insights on how people book and cancel their reservations, which allows learning from booking patterns to increase awareness and encourage best-practices.

The Reservation Patterns dashboard reports on all reservations data, including cancelled reservations and no-shows (dashboard takes data from Workplace Management, and does not contain sensor data).

Info

Use this dashboard to gain insight in people behavior

The dashboard does not contain detailed timelines, but shows monthly trends on historical data.

Historical data means that the visualized data in the dashboard was gathered until yesterday. The current Reservations Insights will load data from 01/07/2022 (hard coded date),including cancelled reservations and no-shows.

Info

Reservation

Insights

Patterns covers all reservable categories (Rooms, Workplaces, Parking and Equipment

)

,

except

Services

.

)

“Summary” page

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titleExpand for more information on Summary page

Gain insight into how spaces are  being booked & identify under-performances and take action

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“Metrics per Building” page

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titleExpand for more information on Metrics per Building page

Drill down the reservation data per building or select several buildings to identify trends.

Example: I want to select all my buildings in the Netherlands to see reservation trends happening in the Dutch workplace.

Reports on

  • Rooms

  • Workplaces

  • Parking spots

  • Equipment

Available metrics

  • # of reservations

  • Avg duration (h)

  • Avg / peak reservation rate

  • Avg lead time (d)

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Metric definitions

  • ‪‪# Total Reservations: nr of reservations that are created in the system = # Reservations + # Cancellations + # No Shows

  • # Reserved: nr of reservations that took place

  • # Cancellations: nr of reservations that were cancelled BEFORE the start of the meeting

  • # No Shows: nr of reservations that were cancelled AFTER the start of the meeting (by sensor or brain rule or person)

  • # Hours booked: sum of duration of all reservations

  • # Hours released: sum of duration of all reservations that were cancelled BEFORE the start of the meeting

  • # Hours reclaimed: sum of duration of all reservations that were cancelled AFTER the start of the meeting

“Summary” page

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titleExpand for more information on Reservation Patterns page

‪Gives insight in most popular booking patterns:

  • When and where are people making most reservations?

  • And for how long?

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“Reservable items”
Summary page

Get a quick summary insights on how people book and cancel their reservations, to learn from booking patterns to increase awareness and encourage best-practices

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“No Shows” page

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titleExpand for more information on Reservable Items page

‪Shows the full list of Reservable items and gives overall simple statistics for every reservable item:

  • #reservations per category

  • #reservations per room size

→ Check all the reservable items and see how many times each item was reserved

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“Distribution”
No Shows page

‪See what are the “no show” patterns where the reserved space is not cancelled in advance, in order to take appropriate actions to reduce the “no shows”

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Info

(automatic) cancellations after the meeting starts = bad behavior

“Cancellations” page

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titleExpand for more information on Distribution page

‪Gives insight in most popular booking patterns:

  • When and where are people making most reservations?

  • And for how long?

  • Do we book mainly large meeting rooms or small ones?

  • How does this evolve over time?

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“Calendar”
Cancellations page

View how many cancellations were made

  • Per month

  • Per building

  • Per organization

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Info

Cancelling in advance = good behavior

“Reservations Patterns” page

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titleExpand for more information on Calendar Reservations Patterns page

‪Check the full list of ‪reservable items and the hours reserved per day

The Clear & visual calendar view with legends shows for how many hours that item was reserved per day so you can identify under-performances.

  • the columns show the reservable items

  • the rows present the calendar days

  • the cells indicate how many hours the item was reserved per day. The color coding helps quickly identify popular or under-performing reservable items

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Fixed color coding:

  • 0h reserved on a day: white

  • < 2h reserved on a day: red

  • 2-4h reserved on a day: orange

  • 4-12h reserved on a day: green

  • reserved up to 24h on a day: blue

‪View total hours reserved:

  • Per organization

  • Per category

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“Data” page

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titleExpand for more information on Data page

‪Details ‪of the raw data ‪per reservation ‪‪and how they are ‪calculated per hour

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“Scope” page

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titleExpand for more information on Scope page

‪Presents correlations between

  • ‪Organization

  • ‪Building

  • ‪Type

  • ‪Category

  • Status

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Metric definitions

  • # Reservations: number of reservations that are NOT cancelled

  • Reservation rate: Hours reserved / (Hours available x Nr of reservable items) -> calculated per hour

  • Avg duration: Avg (Hours reserved / Nr of Reservations)

  • Avg leadtime: Avg (Start date – Creation date)

    ‪Get a quick summary insights on how people book and cancel their reservations, in order to learn from booking patterns to increase awareness and encourage best-practices

    image-20240126-104941.pngImage Added

    More information

    Frequently Asked Questions on Dashboards

    Expand
    titleIs it possible to filter on zones or groups?

    Due to how the dashboard is set up, it’s not possible to filter on zones or groups.

    Check out FAQ on Dashboards

    How to navigate the Dashboards

    See How to use dashboards


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