User Research: trying to answer the why and how questions
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This is the first part of my fourth lecture at the HITLab, Canterbury University in New Zealand. As a design practitioner I am frequently getting a question from other practitioners, why would they do user research in the first place. Once I manage to convince them why it makes sense, the follow up question typically regards the issue of choosing the right people for that research. In this presentation I am trying to highlight two different approaches to user research, which I will describe in more detail in the next presentation.
Transcript of User Research: trying to answer the why and how questions
- user research: trying to answer the why and how questions aga szstek(at)gmail.com
- why doing user research in the rst place?
- -users have dierent goals than designers -users do not care for design success -there is more than one user per solution -there is more than one solution per problem
- traditional user research - formal - informative - answers - precision - understanding - raw data generative methods - informal - inspirational - questions - ambiguity - empathy - interpretation
- user research: an example PhD project: Sebas1an Denef Promoters: David V. Keyson i Reinhard Oppermann
- How do remen deal with dangerous situations in the midst of the action? How could their actions be supported through interactive technologies?
- OBSERVATIONS
- TOOL ANALYSIS
- ROLE PLAYING
- BUILDING EMPATHY
- using generative methods: an example Welcome Experience at a telecom provider Aga Szstek, Marcin Piotrowski, Joanna Kwiatkowska
- rst month with a telecom provider provider rst impressions user trial period uncertainty building relationship gaining trust adjusting oer explaining payment upselling
- partcipants - 20 persons (50% M, 50% F) - recruited at the door of the providers shop - committed to buy a postpaid plan - signing an agreement to participate
- diary / blog study
- love / hate letters
- creative workshop
- why and when traditional user research?
- - works great for the dened design space - helps to objectify discovered phenomena - supports task oriented design - resolves interaction problems - focuses in iterative measurement of progress - enables comparison
- why and when generative methods?
- - high complexity of the design issues (so called: wicked problems) - uncertainty what truly is the design challenge - need for exibility to approach the solution - building empathy
- who should participate?
- snowball sampling: when you want to nd users who have similar interests, jobs or lifestyle
- extreme case sampling: when you want to nd users who are extreme representatives of certain behaviours (e.g. remen for a decision-taking study
- homogenous sampling: when you want to nd users who are very much alike in a certain aspect
- maximum variation sampling: when you want to nd users who are very dierent with respect to a certain aspect
- convenience sampling: when you just want to nd users who are together for some reason (eg. a workshop) and agree to participate in the study
- opportunistic sampling: when you just want to nd truly random users
- references Denef, S.; Keyson, D.; Oppermann, R. Rigid Structures, Independent Units, Monitoring: Organizing Patterns in Frontline Fireghting. In Proceedings of the 2011 SIGCHI Conference on Human Factors in Computing Systems, Austin, TX, USA, 510 May 2011; pp. 1949 1958. Pallot, Marc, et al. "Living lab research landscape: From user centred design and user experience towards user cocreation." First European Summer School'Living Labs'. 2010.
