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Julie Isebaert

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Difficulty: novice

Content

Table of Contents
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Learning Objectives

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

  • interpret data from the Reservation Insights Dashboard

Reservation Insights dashboard provides insight in the historical reservation data. The question it tries to answer is: “Based on reservation data of reservations that are not cancelled, how can we optimize usage and learn from usage patterns?”

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).

Info

Reservation Insights covers all reservable categories (Rooms, Workplaces, Parking and Equipment), except Services.

“Summary” page

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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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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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“Booking

“Reservation Patterns” page

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‪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” page

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‪Shows the full list of Reservable items and gives the overall reservations metricsoverall 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” page

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‪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” page

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

→ The Clear & visual calendar view with legends that 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

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

“Data” page

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

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“Scope” page

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‪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)

More information

Frequently Asked Questions on Dashboards

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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

Search

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