Many types of data are encountered in a typical client workplace project. However, it isn’t always clear how to best use these data, which types of data are most useful where and when, or even what sources of data are available for use in each project. There are even times when data is available, but due to the amount of data, it seems too large to be useful. But data is often a critical element to good workplace design and can even mean the difference between good design, amazing design and high performance results.
This facilitated session will review:
- the major types of qualitative and quantitative workplace data
- share common examples of each type of data
- walk the audience through advantages and drawbacks of each
Focus will be given to the potential value of each type, where and when to best use each as you deliver design services. E.g., systematic presence data (turnstiles, badging or access control systems), occupancy counts and real estate.
Ethnographic inquiry and quantitative software, two more approaches to collecting/analyzing/applying data, will also be presented via insights and live demo. These additional angles will educate the audience on the value and importance of data triangulation and its role in confident, data-informed design. The advantages and limitations of these additional approaches as well as an assessment of workplace analytics technology will be discussed and appropriate applications will be shared via project examples.