Data Driven Spaces

People use spaces in all sorts of ways, and sometimes it’s difficult to predict. Make your space more functional, more economic, and more high-performing, all at the same time.

... the talent to make complicated ideas and results clear and simple. The results of the experiment led to insights which we could put into action easily.

Marnix MaliDirector of Real Estate and Workplace Services, Booking.com

How it Works

Remote sensing technology tells you what is happening in your environments in real time.
Occupancy
Noise
Light
Temperature
Air Quality

Understanding your assets starts with accurate realtime data.

We use tried and tested remote sensing technology for indoor environments that send data securely and privately over Australian LoRaWAN networks to ensure your observations are only accessible by you.

Sensor readings are reported in real time using customisable dashboards so you can identify opportunities and solve issues as soon as they appear in your spaces.

Set alarms to grab your attention when the environment leaves healthy ranges.

Turn numbers into experiences.

Spatial metrics combine information from independent sources and describe new results about the human experience of the space.

Statistical analysis calculates the suitability of a space for a particular activity, detects change over time, and makes predictions beyond simple visual analysis.

Continuously improve your spaces.

The magic of Data Driven Spaces happens when monitoring and analysis are combined with systematic changes to your spaces, and comparisons between their performance.

With our unique scientific approach to built environments, you can validate your design concepts, show how your designs improve experiences, and discover new concepts to give you a competitive advantage.

Where to Start

Choose the optimal space.

Learn what office designs work best, using real data from employees and office sensors.
Use scientific best methods to demonstrate the value of different office designs.
High levels of scientific integrity and data protection ensure the integrity of the results.
Validated scientific methods measure workplace health, happiness, and productivity.

1. Select candidate office designs and generate hypotheses for the benefits of each design.

2. Construct a prototype set of offices in a pilot location.

3. Rotate work teams through the different office designs and learn what works and what doesn’t.

Plan and design a future space.

Design office spaces to work for the people that will actually be using them.
Account for different types of work done at the office and at home.
Personalize the office for different job roles and activities.
Incorporate desk sharing and flex work into your office designs.

1. Tell us which work activities are done at home, in the office, and in different types of office spaces.

2. Our analytics engine calculates demand for different types of workspaces, according to people’s needs.

3. We deliver customized space ratios that can be directly included in your designs.

Understand the strengths of a space.

Learn what areas of the office work best, using real data from employees and sensors.
Use scientific best methods to demonstrate which parts of the office are in demand.
High levels of scientific integrity and data protection ensure the integrity of the results.
Validated scientific methods measure workplace health, happiness, and productivity.

1. Use sensor data to monitor workplace environment and occupancy.

2. Analytical models combine the sensor data to identify healthy, happy, and productive areas.

3. A one-off report details the strengths of the office design and what can be improved.

Create, innovate, and improve.

Continuously track which areas of the office work best, using employee and sensor data.
Iteratively optimize the office design using scientific methods.
High levels of scientific integrity and data protection ensure the integrity of the results.
Hard data demonstrates the impact of design improvements on employee wellness and productivity.

1. Use sensor data to monitor workplace environment and occupancy.

2. Analytical models combine sensor information with office plans to show healthy, happy, and productive areas.

3. Regular reports detail the strengths of the office design and suggest improvements.

4. Make ongoing improvements to the office space and evaluate the impact using data.

Frequently Asked Questions

Do I need a large office for this to work?

No! Data Driven Spaces works as well for very small offices as it does for extremely large ones. In fact, you will often receive insights more quickly from analysing a small office compared to a larger office.

What if I can’t change my office layout easily?

Not a problem: there are many ways you can use Data Driven Spaces to improve the work space for your people. From benchmarking your space to providing real-time suggestions for your office users to optimise their own experiences, Data Driven Spaces is the key that unlocks healthier, happier, and more productive workspaces.

Do office designs really affect company performance?

There is no doubt – the work spaces you provide to your people have a significant impact on their work experience, and on the overall performance of your company. In published studies we see strong evidence of the significant effect of office space, with one study finding a 12% impact of productivity between trialled office designs.

Do I need to have a lot of data to start?

We will always work with the data you have first, even if it’s only basic operational records. If you choose to add sensors to your work space we will guide you through installation, and make sure everything is running correctly before you start.

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