> For the complete documentation index, see [llms.txt](https://support.meetuma.ai/uma-knowledgebase/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://support.meetuma.ai/uma-knowledgebase/data-and-reporting/analytics-pro/dashboard/space-usage-and-trends.md).

# Space Usage and Trends

<figure><img src="/files/qy56qidNd2SGanExyTXH" alt=""><figcaption></figcaption></figure>

### 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

<figure><img src="/files/tI6Oo5JS7Cgl6a0Ov8eC" alt=""><figcaption></figcaption></figure>

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

<figure><img src="/files/CrrWOCw9AAE760UmxqUH" alt=""><figcaption></figcaption></figure>

*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

<figure><img src="/files/eQPjwbdgk01xzBHcXRe7" alt=""><figcaption></figcaption></figure>

*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

<figure><img src="/files/8y3E9HJIRONuUbAGika1" alt=""><figcaption></figcaption></figure>

*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

<figure><img src="/files/feZXPQg6NI2JFEegaQmI" alt=""><figcaption></figcaption></figure>

*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

<figure><img src="/files/UfKQyJzf3c0ng1C5tGT7" alt=""><figcaption></figcaption></figure>

*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

<figure><img src="/files/ixLL4NF2dEgRV3UKCLxh" alt=""><figcaption></figcaption></figure>

*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

<figure><img src="/files/CfsMO2TRaViu6Len2sov" alt=""><figcaption></figcaption></figure>

*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

<figure><img src="/files/fWPlPwiXmh9UCADoodmE" alt=""><figcaption></figcaption></figure>

*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

<figure><img src="/files/WzPSEp8V5w422ivUK1Lo" alt=""><figcaption></figcaption></figure>

*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

<figure><img src="/files/BkT8dRKNVdrfHdiecNFB" alt=""><figcaption></figcaption></figure>

*Pie chart.*

Reservations grouped by room capacity bands.

#### Reservations Trend

<figure><img src="/files/qxZAbpAfx4yRKnE2UeMr" alt=""><figcaption></figcaption></figure>

*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

<figure><img src="/files/3XpsCZXHw7AK9wv3lGmq" alt=""><figcaption></figcaption></figure>

*Stacked chart.*

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

#### Total Reservations by Resource

<figure><img src="/files/B0Vix7MiFBkPheTz9A05" alt=""><figcaption></figcaption></figure>

*Comparison chart.*

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

#### Reservations by Neighbourhood

<figure><img src="/files/PQOizHJ7Lwa57QJS03Gc" alt=""><figcaption></figcaption></figure>

*Bar chart.*

Reservation activity grouped by neighbourhood.

#### Reservations by Team

<figure><img src="/files/Wwmo9umV1oMpNS6GW0h6" alt=""><figcaption></figcaption></figure>

*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

<figure><img src="/files/0uHV10rNaF48JllospZU" alt=""><figcaption></figcaption></figure>

*Horizontal stacked bar chart.*

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

#### Reservations Time Breakdown by User

<figure><img src="/files/FFuUKJCYxIupDNJWVbwM" alt=""><figcaption></figcaption></figure>

*Horizontal stacked bar chart.*

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

#### Reservation Status by User

<figure><img src="/files/YEe17dxZB2xLBRysxUPo" alt=""><figcaption></figcaption></figure>

*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

<figure><img src="/files/llcJHkNFqeTpLk0xDTyI" alt=""><figcaption></figcaption></figure>

*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

<figure><img src="/files/pcY1eY1KKRCRcZuYfhC8" alt=""><figcaption></figcaption></figure>

*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

<figure><img src="/files/WgdnVtidWLmFyfmfhsaO" alt=""><figcaption></figcaption></figure>

*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

<figure><img src="/files/cTuuftveYeHMTisX0NHd" alt=""><figcaption></figcaption></figure>

*Sortable data grid (15+ columns).*

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

#### Utilisation Table

<figure><img src="/files/Eev464h3igbVCwdZxfx8" alt=""><figcaption></figcaption></figure>

*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

<figure><img src="/files/5pZeSpydWRri8qFqJpyN" alt=""><figcaption></figcaption></figure>

*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

<figure><img src="/files/IqR7uHjL01H0qdbiLZoO" alt=""><figcaption></figcaption></figure>

*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.