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Space Usage and Trends

Overview

The Space Usage and Trends dashboard delivers a complete picture of how rooms, desks, parking, and zones are reserved and used across your estate. It cross-references calendar reservations with real sensor data so you can distinguish booked space from occupied space and identify where workplace investments deliver value.

Use this dashboard to:

  • Right-size the workplace portfolio

  • Identify and reduce no-show waste

  • Compare booking behaviour across teams, neighbourhoods, and resource types

  • Provide environmental evidence for individual meetings

  • Support real-estate and floor-redesign decisions with quantitative data


Dashboard Structure

The dashboard is organised into seven tabs:

  1. Space Usage

  2. Reservations Insights

  3. User Reservations Insights

  4. Reservation Sensor Insights

  5. Data

  6. Map

  7. Floor Heatmap


Tab 1 — Space Usage

The headline tab summarising overall workplace activity by combining sensor and calendar utilisation in a single view.

Resource Count KPIs

A row of six cards summarising the connected estate: Total Resources, Rooms, Desks, Parking Spaces, Zones, and Other Resources.

Use it to: validate the inventory under analysis before drawing conclusions.

Utilisation Trend — Sensor vs Calendar

Line chart with Hourly / Daily / Weekly / Monthly granularity tabs.

Plots calendar utilisation alongside sensor utilisation across the selected period.

Use it to: quantify the gap between booked space and used space — the foundation of any no-show and space-efficiency conversation.

Weekly Peak Usage

Bar chart.

Shows the busiest day of the week for both sensor and calendar utilisation.

Use it to: align cleaning, security rotas, hospitality, and HVAC schedules with peak demand.

Utilisation by Resource

Horizontal bar chart, ranked.

Lists every monitored resource by sensor utilisation percentage.

Use it to: identify chronically under-used or over-subscribed resources for repurposing or scaling.

Utilisation by Neighbourhood

Horizontal bar chart with grouped sensor and calendar series, plus a resource-count column.

Aggregates utilisation by neighbourhood so workplace teams can compare zones rather than individual rooms.

Use it to: support neighbourhood-based working strategies and team relocation decisions.

Utilisation by Resource Type

Grouped bar chart.

Compares sensor and calendar utilisation across resource types (rooms, desks, parking, zones).

Use it to: settle the perennial question — do we need more meeting rooms or more desks?

Utilisation by Resource Capacity

Bar chart, excluding desks.

Groups rooms and zones by capacity band and shows utilisation per band.

Use it to: uncover capacity mismatches — for example, low utilisation of large boardrooms while small huddle rooms are constantly full.

Calendar Utilisation vs Sensor Utilisation

Scatter plot with diagonal reference line.

Each point represents one resource, plotted by its calendar utilisation (x-axis) against its sensor utilisation (y-axis). Resources on the diagonal are used as booked; points below the line indicate no-shows; points above indicate ad-hoc usage.

Use it to: spot booking-discipline outliers and resources where actual demand exceeds reservations.

Daily Usage Heatmap

Calendar heatmap, month by month.

A dense grid showing daily sensor and calendar utilisation per resource, with colour intensity reflecting usage.

Use it to: identify long-term patterns, holiday troughs, return-to-office trends, and resource-specific seasonality.


Tab 2 — Reservations Insights

A reservation-centric view focused on counts, breakdowns, and no-show analysis.

Reservation Breakdown by Resource Type

Pie chart.

Distribution of reservations across rooms, desks, parking, and other resource types. Tooltips reveal visited and no-show counts per slice.

Reservation Breakdown by Room Size

Pie chart.

Reservations grouped by room capacity bands.

Reservations Trend

Dual-line chart with Daily / Weekly / Monthly granularity tabs.

Reservation totals plotted alongside no-shows over time, with percentage breakdowns in tooltips.

Use it to: monitor booking-discipline trends and the effect of policy changes.

Reservations Time Breakdown

Stacked chart.

Reservations distributed across time periods (morning / afternoon / all-day) to reveal preferred booking patterns.

Total Reservations by Resource

Comparison chart.

Direct side-by-side comparison of confirmed reservations and no-shows by resource.

Reservations by Neighbourhood

Bar chart.

Reservation activity grouped by neighbourhood.

Reservations by Team

Bar chart.

Reservation activity grouped by team, useful for chargeback or team-level workplace planning.


Tab 3 — User Reservations Insights

Individual user behaviour. Each chart supports a Top N filter to focus on the most active bookers.

Reservations by User

Horizontal stacked bar chart.

Total reservations per user, segmented by resource type. Tooltips show no-show counts.

Reservations Time Breakdown by User

Horizontal stacked bar chart.

Per-user time-of-day patterns split into Morning / Afternoon / All Day.

Reservation Status by User

Horizontal stacked bar chart.

For each user, plots confirmed reservations against no-shows.

Use it to: surface users with persistently high no-show rates for targeted communications.

Reservation Duration by User

Horizontal stacked bar chart.

Total hours booked per user, segmented by resource type. Useful when reservation count alone is misleading — a small number of long-day desk bookings can outweigh many short room bookings.


Tab 4 — Reservation Sensor Insights

Links each reservation to the environmental conditions recorded during it.

Sensor Metrics Trend During Reservations

Multi-panel synchronised line chart.

One panel per sensor metric (occupancy, temperature, CO₂, humidity, noise) for a selected resource. Panels share a synchronised tooltip so all metrics align on the same point in time.

Use it to: understand how a single room performs environmentally when in use.

Reservation Sensor Pivot Table

Sortable data grid with colour-coded cells.

Each row is a single reservation. Columns include organiser, resource, type, floor, building, start, end, duration, status, and the average / minimum / maximum readings for every sensor type, with status bands shown as colour gradients (dark green → green → yellow → light red → dark red).

Use it to: investigate complaints, build evidence for room-condition issues, or audit specific meetings. The pivot table ignores the resource filter so the full data set remains searchable.


Tab 5 — Data

Detailed underlying data sets for export, audit, and offline analysis.

Calendar Events Table

Sortable data grid (15+ columns).

Every calendar event in the period: organiser, resource, attendee count, duration, status, ad-hoc detection, and more.

Utilisation Table

Sortable data grid.

Daily presence duration, working duration, and utilisation percentage per resource.

Both tables support sorting, pagination, and CSV export.


Tab 6 — Map

Reservations Map View

Interactive geographic map.

Every building plotted on a world map, colour-coded by reservation activity and no-show rate. Hover any building to see total reservations, confirmed count, resources, and no-show rate.

Use it to: compare site performance across a multi-location estate.


Tab 7 — Floor Heatmap

Reservation Floor Heatmap

Colour-coded overlay on an interactive 2D floor plan.

Utilisation intensity rendered directly onto the building's floor plan, with green / amber / red bands indicating relative usage.

Use it to: visualise spatial patterns — under-used neighbourhoods, hot-desk clusters, and floor-level imbalance — directly on the architectural layout.


Filters & Controls

All tabs share a common filter bar:

  • Building, Floor, Resource, Resource Type

  • Date range with presets and custom ranges

  • Granularity (where applicable)

  • Time zone

The Reservation Sensor Pivot table and the Bookings vs No-Shows trend ignore the resource filter to preserve search and aggregate context.

Overview

The Space Usage and Trends dashboard delivers a complete picture of how rooms, desks, parking, and zones are reserved and used across your estate. It cross-references calendar reservations with real sensor data so you can distinguish booked space from occupied space and identify where workplace investments deliver value.

Use this dashboard to:

  • Right-size the workplace portfolio

  • Identify and reduce no-show waste

  • Compare booking behaviour across teams, neighbourhoods, and resource types

  • Provide environmental evidence for individual meetings

  • Support real-estate and floor-redesign decisions with quantitative data


Dashboard Structure

The dashboard is organised into seven tabs:

  1. Space Usage

  2. Reservations Insights

  3. User Reservations Insights

  4. Reservation Sensor Insights

  5. Data

  6. Map

  7. Floor Heatmap


Tab 1 — Space Usage

The headline tab summarising overall workplace activity by combining sensor and calendar utilisation in a single view.

Resource Count KPIs

A row of six cards summarising the connected estate: Total Resources, Rooms, Desks, Parking Spaces, Zones, and Other Resources.

Use it to: validate the inventory under analysis before drawing conclusions.

Utilisation Trend — Sensor vs Calendar

Line chart with Hourly / Daily / Weekly / Monthly granularity tabs.

Plots calendar utilisation alongside sensor utilisation across the selected period.

Use it to: quantify the gap between booked space and used space — the foundation of any no-show and space-efficiency conversation.

Weekly Peak Usage

Bar chart.

Shows the busiest day of the week for both sensor and calendar utilisation.

Use it to: align cleaning, security rotas, hospitality, and HVAC schedules with peak demand.

Utilisation by Resource

Horizontal bar chart, ranked.

Lists every monitored resource by sensor utilisation percentage.

Use it to: identify chronically under-used or over-subscribed resources for repurposing or scaling.

Utilisation by Neighbourhood

Horizontal bar chart with grouped sensor and calendar series, plus a resource-count column.

Aggregates utilisation by neighbourhood so workplace teams can compare zones rather than individual rooms.

Use it to: support neighbourhood-based working strategies and team relocation decisions.

Utilisation by Resource Type

Grouped bar chart.

Compares sensor and calendar utilisation across resource types (rooms, desks, parking, zones).

Use it to: settle the perennial question — do we need more meeting rooms or more desks?

Utilisation by Resource Capacity

Bar chart, excluding desks.

Groups rooms and zones by capacity band and shows utilisation per band.

Use it to: uncover capacity mismatches — for example, low utilisation of large boardrooms while small huddle rooms are constantly full.

Calendar Utilisation vs Sensor Utilisation

Scatter plot with diagonal reference line.

Each point represents one resource, plotted by its calendar utilisation (x-axis) against its sensor utilisation (y-axis). Resources on the diagonal are used as booked; points below the line indicate no-shows; points above indicate ad-hoc usage.

Use it to: spot booking-discipline outliers and resources where actual demand exceeds reservations.

Daily Usage Heatmap

Calendar heatmap, month by month.

A dense grid showing daily sensor and calendar utilisation per resource, with colour intensity reflecting usage.

Use it to: identify long-term patterns, holiday troughs, return-to-office trends, and resource-specific seasonality.


Tab 2 — Reservations Insights

A reservation-centric view focused on counts, breakdowns, and no-show analysis.

Reservation Breakdown by Resource Type

Pie chart.

Distribution of reservations across rooms, desks, parking, and other resource types. Tooltips reveal visited and no-show counts per slice.

Reservation Breakdown by Room Size

Pie chart.

Reservations grouped by room capacity bands.

Reservations Trend

Dual-line chart with Daily / Weekly / Monthly granularity tabs.

Reservation totals plotted alongside no-shows over time, with percentage breakdowns in tooltips.

Use it to: monitor booking-discipline trends and the effect of policy changes.

Reservations Time Breakdown

Stacked chart.

Reservations distributed across time periods (morning / afternoon / all-day) to reveal preferred booking patterns.

Bookings vs No-Shows

Comparison chart.

Direct side-by-side comparison of confirmed reservations and no-shows by resource.

Reservations by Neighbourhood

Bar chart.

Reservation activity grouped by neighbourhood.

Reservations by Team

Bar chart.

Reservation activity grouped by team, useful for chargeback or team-level workplace planning.


Tab 3 — User Reservations Insights

Individual user behaviour. Each chart supports a Top N filter to focus on the most active bookers.

Reservations by User

Horizontal stacked bar chart.

Total reservations per user, segmented by resource type. Tooltips show no-show counts.

Reservations Time Breakdown by User

Horizontal stacked bar chart.

Per-user time-of-day patterns split into Morning / Afternoon / All Day.

Reservation Status by User

Horizontal stacked bar chart.

For each user, plots confirmed reservations against no-shows.

Use it to: surface users with persistently high no-show rates for targeted communications.

Reservation Duration by User

Horizontal stacked bar chart.

Total hours booked per user, segmented by resource type. Useful when reservation count alone is misleading — a small number of long-day desk bookings can outweigh many short room bookings.


Tab 4 — Reservation Sensor Insights

Links each reservation to the environmental conditions recorded during it.

Sensor Metrics Trend During Reservations

Multi-panel synchronised line chart.

One panel per sensor metric (occupancy, temperature, CO₂, humidity, noise) for a selected resource. Panels share a synchronised tooltip so all metrics align on the same point in time.

Use it to: understand how a single room performs environmentally when in use.

Reservation Sensor Pivot Table

Sortable data grid with colour-coded cells.

Each row is a single reservation. Columns include organiser, resource, type, floor, building, start, end, duration, status, and the average / minimum / maximum readings for every sensor type, with status bands shown as colour gradients (dark green → green → yellow → light red → dark red).

Use it to: investigate complaints, build evidence for room-condition issues, or audit specific meetings. The pivot table ignores the resource filter so the full data set remains searchable.


Tab 5 — Data

Detailed underlying data sets for export, audit, and offline analysis.

Calendar Events Table

Sortable data grid (15+ columns).

Every calendar event in the period: organiser, resource, attendee count, duration, status, ad-hoc detection, and more.

Utilisation Table

Sortable data grid.

Daily presence duration, working duration, and utilisation percentage per resource.

Both tables support sorting, pagination, and CSV / JSON / PDF export.


Tab 6 — Map

Reservations Map View

Interactive geographic map.

Every building plotted on a world map, colour-coded by reservation activity and no-show rate. Hover any building to see total reservations, confirmed count, resources, and no-show rate.

Use it to: compare site performance across a multi-location estate.


Tab 7 — Floor Heatmap

Reservation Floor Heatmap

Colour-coded overlay on an interactive 2D floor plan.

Utilisation intensity rendered directly onto the building's floor plan, with green / amber / red bands indicating relative usage.

Use it to: visualise spatial patterns — under-used neighbourhoods, hot-desk clusters, and floor-level imbalance — directly on the architectural layout.


Filters & Controls

All tabs share a common filter bar:

  • Building, Floor, Resource, Resource Type

  • Date range with presets and custom ranges

  • Granularity (where applicable)

  • Time zone

The Reservation Sensor Pivot table and the Bookings vs No-Shows trend ignore the resource filter to preserve search and aggregate context.

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