This contribution explores non-user integration in a product development context of the development of a vacuum robot in order to analyse users as well as non-users of a product. While user profiles like the persona have been part of product development and product design for years, the non-user has not been widely explored.Within this contribution the known concept of the persona is extended and further developed to the non-persona, a profile that describes non-users and why they do not use a certain product, in this case the vacuum robot. Including the non-user in product development offers the chance of addressing yet unidentified product requirements and therefore opening the product up to a bigger audience. This template works for both users and non-users and can be used to include both sides in a
development project.
The House of Quality is an established model for human centric product development, that among other aspects uses both customer attributes and product requirements to define a product and its most important features. Industry application of this model is difficult due to its overall complexity and lack of clear instructions on how to specifically build a catalogue of customer attributes from user research in particular and how to prioritize them.
This contribution seeks to simplify customer attribute formation and management by introducing the concept of non-use within a use case. Types of non-use and reasons for non-use of robot vacuums are examined and decoded into attributes. Attributes of users and non-users are compared and analyzed. By introducing a clear interview structure for users and non-users, this contribution visualizes how to translate interviews to attributes used within the House of Quality.
The use case discussed in this contribution indicates that non-use can yield more information than conventional user research, since non-users’ reasons for non-use were more extensive than users’ negative feedback about the product and could therefore generate more attributes. Industry feedback suggests that non-user attributes are similar to user attributes and can therefore be used in place of user attributes.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.