Use Case

Latest desk occupancy

Find the most recent occupancy status of an individual desk or a group of desks.

• Empower employees to choose their ideal workspace by showcasing live desk availability on interactive floor plans at the time of booking
• Direct employees to empty and available desks when they arrive based on live occupancy count on displays in the office
• Simplify desk management with automated check-in as employees arrive at their desks and check-out as they leave

Use Case

Latest space occupancy

Uncover the most recent occupancy value for meeting rooms, floors and other specified areas.

Giving employees and visitors instant access to real-time occupancy data for meeting rooms and other workspaces is the first step to creating the exceptional workplace experience they deserve.

• Help employees to quickly find empty meeting rooms at late notice based on live occupancy on office displays or interactive floor plans in booking systems
• Streamline meeting room management with automated check-ins when employees arrive at their bookings, eliminating manual processes
• Free up unused rooms automatically when no one shows up after a specified period of time, maximizing efficiency and avoiding wasted bookings
  

Use Case

Latest people count

Being able to see the latest anonymized people count for any given area makes everyone’s experience much smoother – from employees and visitors to building and facilities managers.

• Help employees find quieter spaces by displaying live people counts on interactive floor plans when booking desks
• Show real-time occupancy on displays to indicate when meeting rooms or common areas reach maximum capacity
• Keep a close eye on the total people count of all floors in real-time to keep everyone in the building safe
  

Use Case

Latest indoor environmental quality (IEQ) for spaces

Uncover real-time indoor environmental quality (IEQ) data for meeting rooms, floors and other specified areas.

You can use the latest indoor environmental quality (IEQ) data of your space to be more transparent with your employees and help them make more informed workplace decisions:

• Help them decide where to work based on factors such as noise and temperature by displaying this real-time data on digital displays
• Create a smoother booking experience and enable greater choice at the time of booking by showing real-time IEQ data on floorplans in booking systems
• Display the real-time IEQ data of a specific meeting room on the display panel to warn employees when safe thresholds are exceeded, or even make them unavailable to book
• Build awareness of how the exposure to poor IEQ such as high CO2 levels can impact and damage the productivity of your team’s productivity in real-time
  

Use Case

Heatmap of typical indoor environmental quality (IEQ)

Find out the average hourly levels of IEQ data in your space over a 24 hour period, from temperature and humidity to CO2, VOCs, and PM2.5.

With this hour-by-hour snapshot of how key IEQ parameters perform throughout a typical day, you can:

• Benchmark your building's performance by categorizing data according to WELL standards or custom criteria, putting it into clear context
• Reveal powerful insights by overlaying IEQ data with occupancy patterns to uncover correlations between wellbeing factors (like CO2 levels) and the number of people in the building at any given time
• Understand the impact on your team’s productivity and wellbeing over time – like how exposure to elevated CO2 levels can cut employee productivity by 11%

Use Case

Time spent in indoor environmental quality (IEQ) ranges

If you’re looking to find out how long your indoor environmental quality (IEQ) data was considered Good, Moderate or Poor – based on industry best practices – then look no further.

You can find out the total number of hours spent within each IEQ range for a specific meeting room or a whole floor within your building, across any chosen time period or particular day of the week.

Once you know this, you can begin to understand and manage how this exposure to different IEQ ranges could be impacting your employees productivity and wellbeing:

• Analyze correlations between employee productivity and satisfaction and the time spent in IEQ ranges to assess the impact of poor air quality and thermal comfort
• Understand when safe thresholds have been exceeded and for how long, such as when CO2 levels reach an unsafe level in meeting rooms
• Compare how the time spent in each range varies across different IEQ parameters (temperature, humidity, CO2, COVs, PM2.5)

Use Case

Total, historical and typical hourly energy consumption for your space

Uncover the total energy consumption (gas, electricity and water) for your space as hourly averages, time intervals of your choice, or as a summary across the whole of the specified time period.

Improving your ESG performance and cutting energy costs starts with understanding your energy consumption. Once you have these energy insights, you can reduce your usage, save money, and do better for the planet.

• Compare water, electricity and gas consumption values over time or as a summary of usage to understand which days of the week are best and worst
• Overlay energy consumption with other data types such as occupancy to spot cost saving opportunities such as heating or cooling meeting rooms with noone in
• Analyze your energy usage against your consumption KPIs and targets for given time periods such as electricity consumption targets for the month
• Overlay energy data for a given time period as a baseline (e.g. the previous year) against the current time period (e.g. current year) to see how your consumption has changed over time and the impact that regulations and other factors has had on it
  

Use Case

Historical desk occupancy

Look back at the historical occupancy of your desks over a specified time period.

Once you know exactly how your desks are being used with an occupancy reading over time, you can start to really optimize your space and cut costs. Here’s some specific ways you could do this:

• Identify under-occupied desks so you can consolidate where necessary and redesign your space to better suit how employees are using it
• Analyze total desk usage over a specified time period and compare it to your targets for different areas, floors or buildings
• Compare historical data from individual desks across different floors to directly compare usage across different departments and teams

Use Case

Historical space occupancy

Whether it's purely to reduce wasted space and cut real-estate costs, or to optimize how your space is actually being used to make it more efficient, monitoring your space occupancy over time is crucial. Here’s some specific ways it could help you:

• Identify under-occupied floors, departmental areas, or specific meeting rooms so you can consolidate where necessary and reduce real-estate and operating costs
• Redesign your space to better suit how employees are using it – such as individual pods instead of meeting rooms that are typically being used by one or two people
• Compare historical space occupancy with other key metrics such as energy consumption over time to identify when you might be heating or cooling a room with noone in it, for example
• Analyze how your space occupancy over time compares to your occupancy targets for a specified areas, floors or buildings

Use Case

Potential desk savings

Simply knowing how much money you could be saving a month from unused desks in each building is just the start. Here’s how you can go one step further and use this information to help you and your teams:

• Understand how much you could save over a longer period of time and analyze seasonal trends of potential desk savings by extrapolating monthly data
• Monitor the direct causes of low occupancy and high potential cost savings by correlating potential savings against occupancy data over time
• Build a data-driven business case that uses these potential cost savings for chosen buildings to justify space optimization and rightsizing recommendations

Use Case

Summary of desk, room and space utilization

To build a complete picture of how your desks, meeting rooms and other workspaces are being used, you need to know how long each of these resources are being used for. Once you know this, you’ll be able to:

• Understand based on desk and meeting room utilization times whether you need more individual workspaces or collaborative workspaces
• Build an accurate story of how your space and resources are being used to facilitate discussions about mandated office hours or days
• Look holistically at desk and meeting room utilization across different departments to validate complaints or suggestions that they don’t have the space they need
  

Use Case

Peak occupancy for desks and spaces

Whilst the raw occupancy values of a space can be invaluable for analysis, sometimes it’s more helpful to see the maximum (peak) occupancy reached in that space across specified intervals expressed as a percentage of total capacity, shown across a typical day over a 24 hour time period, or simply expressed as average, maximum or minimum across the whole time frame.

Once you know the peak occupancy for your desks, meeting rooms and other workspaces, you can get a feel for how close to capacity you are across your portfolio. And with this insight you can then start to:

• Understand how peak occupancy fluctuates throughout the day to determine which days and areas within the office that you are close to reaching total capacity and meeting your KPIs
• Evaluate patterns of office usage to help define building operations such as maintenance or cleaning requirements and opening office hours
• Analyze your peak occupancy values over a typical day (24 hour period) against indoor environmental quality data to spot correlations
• Compare peak space occupancy with other key metrics such as energy consumption across a typical day to identify opportunities to save energy costs

Use Case

Historical indoor environmental quality (IEQ) for spaces

Look back at the indoor environmental quality (IEQ) of your meeting rooms, floors and other specified areas over a certain time period.

To understand how indoor environmental quality (IEQ) might be affecting your employees' productivity and wellbeing, start by tracking the data over time at intervals that work for you. This will allow you to:

• Spot spikes and dips in IEQ metrics, helping you identify problem areas in specific meeting rooms, floors, or time periods.
• Analyze how each IEQ metric is performing against your targets over time.
• Compare key metrics, like CO2 levels and temperature, with performance data like occupancy or people count to spot correlations and trends.
• See the real impact on your team’s productivity and wellbeing—for instance, high CO2 levels alone can reduce productivity by up to 11%.

Use Case

Summary of indoor environmental quality (IEQ) values

Find out your indoor environmental quality (IEQ) levels for a specified space and time period as a simple average, maximum or minimum value.

Discover at-a-glance how each of the different spaces around your office are performing across a range of key IEQ metrics to help you pinpoint at a high level where needs your attention.

• Compare average, maximum and minimum IEQ values for different meeting rooms during certain days of the week to spot the worst and best performers
• Benchmark your building's performance by categorizing data according to WELL standards or custom criteria, putting it into clear context
• Analyze IEQ data such as maximum CO2 levels against other key data such as maximum occupancy to understand correlations and the cause of poor IEQ

Use Case

Heatmap of typical indoor environmental quality (IEQ)

Find out the average hourly levels of IEQ data in your space over a 24 hour period, from temperature and humidity to CO2, VOCs, and PM2.5.

With this hour-by-hour snapshot of how key IEQ parameters perform throughout a typical day, you can:

• Benchmark your building's performance by categorizing data according to WELL standards or custom criteria, putting it into clear context
• Reveal powerful insights by overlaying IEQ data with occupancy patterns to uncover correlations between wellbeing factors (like CO2 levels) and the number of people in the building at any given time
• Understand the impact on your team’s productivity and wellbeing over time – like how exposure to elevated CO2 levels can cut employee productivity by 11%

Use Case

Time spent in indoor environmental quality (IEQ) ranges

If you’re looking to find out how long your indoor environmental quality (IEQ) data was considered Good, Moderate or Poor – based on industry best practices – then look no further.

You can find out the total number of hours spent within each IEQ range for a specific meeting room or a whole floor within your building, across any chosen time period or particular day of the week.

Once you know this, you can begin to understand and manage how this exposure to different IEQ ranges could be impacting your employees productivity and wellbeing:

• Analyze correlations between employee productivity and satisfaction and the time spent in IEQ ranges to assess the impact of poor air quality and thermal comfort
• Understand when safe thresholds have been exceeded and for how long, such as when CO2 levels reach an unsafe level in meeting rooms
• Compare how the time spent in each range varies across different IEQ parameters (temperature, humidity, CO2, COVs, PM2.5)

Use Case

Total, historical and typical hourly energy consumption for your space

Uncover the total energy consumption (gas, electricity and water) for your space as hourly averages, time intervals of your choice, or as a summary across the whole of the specified time period.

Improving your ESG performance and cutting energy costs starts with understanding your energy consumption. Once you have these energy insights, you can reduce your usage, save money, and do better for the planet.

• Compare water, electricity and gas consumption values over time or as a summary of usage to understand which days of the week are best and worst
• Overlay energy consumption with other data types such as occupancy to spot cost saving opportunities such as heating or cooling meeting rooms with noone in
• Analyze your energy usage against your consumption KPIs and targets for given time periods such as electricity consumption targets for the month
• Overlay energy data for a given time period as a baseline (e.g. the previous year) against the current time period (e.g. current year) to see how your consumption has changed over time and the impact that regulations and other factors has had on it
  

Use Case

Historical desk occupancy

Look back at the historical occupancy of your desks over a specified time period.

Once you know exactly how your desks are being used with an occupancy reading over time, you can start to really optimize your space and cut costs. Here’s some specific ways you could do this:

• Identify under-occupied desks so you can consolidate where necessary and redesign your space to better suit how employees are using it
• Analyze total desk usage over a specified time period and compare it to your targets for different areas, floors or buildings
• Compare historical data from individual desks across different floors to directly compare usage across different departments and teams

Use Case

Historical space occupancy

Whether it's purely to reduce wasted space and cut real-estate costs, or to optimize how your space is actually being used to make it more efficient, monitoring your space occupancy over time is crucial. Here’s some specific ways it could help you:

• Identify under-occupied floors, departmental areas, or specific meeting rooms so you can consolidate where necessary and reduce real-estate and operating costs
• Redesign your space to better suit how employees are using it – such as individual pods instead of meeting rooms that are typically being used by one or two people
• Compare historical space occupancy with other key metrics such as energy consumption over time to identify when you might be heating or cooling a room with noone in it, for example
• Analyze how your space occupancy over time compares to your occupancy targets for a specified areas, floors or buildings

Use Case

Potential desk savings

Simply knowing how much money you could be saving a month from unused desks in each building is just the start. Here’s how you can go one step further and use this information to help you and your teams:

• Understand how much you could save over a longer period of time and analyze seasonal trends of potential desk savings by extrapolating monthly data
• Monitor the direct causes of low occupancy and high potential cost savings by correlating potential savings against occupancy data over time
• Build a data-driven business case that uses these potential cost savings for chosen buildings to justify space optimization and rightsizing recommendations

Use Case

Summary of desk, room and space utilization

To build a complete picture of how your desks, meeting rooms and other workspaces are being used, you need to know how long each of these resources are being used for. Once you know this, you’ll be able to:

• Understand based on desk and meeting room utilization times whether you need more individual workspaces or collaborative workspaces
• Build an accurate story of how your space and resources are being used to facilitate discussions about mandated office hours or days
• Look holistically at desk and meeting room utilization across different departments to validate complaints or suggestions that they don’t have the space they need
  

Use Case

Peak occupancy for desks and spaces

Whilst the raw occupancy values of a space can be invaluable for analysis, sometimes it’s more helpful to see the maximum (peak) occupancy reached in that space across specified intervals expressed as a percentage of total capacity, shown across a typical day over a 24 hour time period, or simply expressed as average, maximum or minimum across the whole time frame.

Once you know the peak occupancy for your desks, meeting rooms and other workspaces, you can get a feel for how close to capacity you are across your portfolio. And with this insight you can then start to:

• Understand how peak occupancy fluctuates throughout the day to determine which days and areas within the office that you are close to reaching total capacity and meeting your KPIs
• Evaluate patterns of office usage to help define building operations such as maintenance or cleaning requirements and opening office hours
• Analyze your peak occupancy values over a typical day (24 hour period) against indoor environmental quality data to spot correlations
• Compare peak space occupancy with other key metrics such as energy consumption across a typical day to identify opportunities to save energy costs

Use Case

Historical indoor environmental quality (IEQ) for spaces

Look back at the indoor environmental quality (IEQ) of your meeting rooms, floors and other specified areas over a certain time period.

To understand how indoor environmental quality (IEQ) might be affecting your employees' productivity and wellbeing, start by tracking the data over time at intervals that work for you. This will allow you to:

• Spot spikes and dips in IEQ metrics, helping you identify problem areas in specific meeting rooms, floors, or time periods.
• Analyze how each IEQ metric is performing against your targets over time.
• Compare key metrics, like CO2 levels and temperature, with performance data like occupancy or people count to spot correlations and trends.
• See the real impact on your team’s productivity and wellbeing—for instance, high CO2 levels alone can reduce productivity by up to 11%.

Use Case

Summary of indoor environmental quality (IEQ) values

Find out your indoor environmental quality (IEQ) levels for a specified space and time period as a simple average, maximum or minimum value.

Discover at-a-glance how each of the different spaces around your office are performing across a range of key IEQ metrics to help you pinpoint at a high level where needs your attention.

• Compare average, maximum and minimum IEQ values for different meeting rooms during certain days of the week to spot the worst and best performers
• Benchmark your building's performance by categorizing data according to WELL standards or custom criteria, putting it into clear context
• Analyze IEQ data such as maximum CO2 levels against other key data such as maximum occupancy to understand correlations and the cause of poor IEQ

Use Case

Heatmap of typical indoor environmental quality (IEQ)

Find out the average hourly levels of IEQ data in your space over a 24 hour period, from temperature and humidity to CO2, VOCs, and PM2.5.

With this hour-by-hour snapshot of how key IEQ parameters perform throughout a typical day, you can:

• Benchmark your building's performance by categorizing data according to WELL standards or custom criteria, putting it into clear context
• Reveal powerful insights by overlaying IEQ data with occupancy patterns to uncover correlations between wellbeing factors (like CO2 levels) and the number of people in the building at any given time
• Understand the impact on your team’s productivity and wellbeing over time – like how exposure to elevated CO2 levels can cut employee productivity by 11%

Use Case

Time spent in indoor environmental quality (IEQ) ranges

If you’re looking to find out how long your indoor environmental quality (IEQ) data was considered Good, Moderate or Poor – based on industry best practices – then look no further.

You can find out the total number of hours spent within each IEQ range for a specific meeting room or a whole floor within your building, across any chosen time period or particular day of the week.

Once you know this, you can begin to understand and manage how this exposure to different IEQ ranges could be impacting your employees productivity and wellbeing:

• Analyze correlations between employee productivity and satisfaction and the time spent in IEQ ranges to assess the impact of poor air quality and thermal comfort
• Understand when safe thresholds have been exceeded and for how long, such as when CO2 levels reach an unsafe level in meeting rooms
• Compare how the time spent in each range varies across different IEQ parameters (temperature, humidity, CO2, COVs, PM2.5)

Use Case

Total, historical and typical hourly energy consumption for your space

Uncover the total energy consumption (gas, electricity and water) for your space as hourly averages, time intervals of your choice, or as a summary across the whole of the specified time period.

Improving your ESG performance and cutting energy costs starts with understanding your energy consumption. Once you have these energy insights, you can reduce your usage, save money, and do better for the planet.

• Compare water, electricity and gas consumption values over time or as a summary of usage to understand which days of the week are best and worst
• Overlay energy consumption with other data types such as occupancy to spot cost saving opportunities such as heating or cooling meeting rooms with noone in
• Analyze your energy usage against your consumption KPIs and targets for given time periods such as electricity consumption targets for the month
• Overlay energy data for a given time period as a baseline (e.g. the previous year) against the current time period (e.g. current year) to see how your consumption has changed over time and the impact that regulations and other factors has had on it