When considering your office or workplace design, it’s important to understand how your employees work.

Desks take up the lion's share of any office layout, and with rents in capital cities like London skyrocketing, we need to make sure that every square foot (and every desk) is utilised to its potential. This is especially important if you’re considering implementing a new office design with activity-based working at its core, as this can often decrease the number of desks required at any given time. 

Take our quiz to find out what workstyle represents you, and how you’re working in your current office.


What’s your workstyle?

The resident who never leaves their desk, an internally mobile ‘meeting master’ who just brushes by their desk, or an externally mobile road warrior who is always out and about.

Workstyles are distinct ways of working, and are reflected in the time we spend at our desks. Think about your own work week – do you tend to be at your desk Monday to Friday, move around the building or are generally conducting business outside of the office? The different workstyles have implications on workplace change. A person at their desk four days a week might be reluctant to move to a hot-desking environment, while an externally mobile person may simply need a drop in area or touchdown desk when in the office. 

Activity-based working is supporting the multitude of tasks that each individual has to complete in their day-to-day role through a variety of spaces. These can range from concentration spaces, to ad-hoc meeting areas and even a multi-functional café. The most critical aspect of activity-based working is being able to move away from the desk without question. Your desk is no longer the only place to work! Activity-based working can benefit all workstyles by providing additional environments tailored to each of these types, beyond traditional workstations.     

We assess time spent at desk in two ways: through staff surveys and conducting a time utilisation study. This provides us with perception-based data (how often people think they’re at their desk), and quantitative data (how often people are actually at their desk). This way we can align perception with quantifiable data.