Using user persona and work domain analysis to elicit information for a Product-Service Digital Twin

Product-Service Digital Twins are an emerging field about which little information is available. To overcome this deficit personas were utilized to elicit domain and user information requirements. As no user data exists for this domain, persona profiles were developed for the domain based on types of decision maker. Control task analysis was applied to the personas as a means of applying a people-centered approach to information gathering. A description is provided of how the control task analysis methodology is modified for use with the personas. Examples of the personas developed and the information gathered are given. This approach is shown to be an effective method for understanding human requirements for a Digital Twin.