User Research: trying to answer the why and how questions
Transcript of User Research: trying to answer the why and how questions
user research: trying to answer the why and how questions aga szóstek(at)gmail.com
why doing user research in the first place?
- users have different 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 firemen deal with dangerous situations in the midst of the action? How could their actions be supported through interactive technologies?
using generative methods: an example
Welcome Experience at a telecom provider Aga Szóstek, Marcin Piotrowski, Joanna Kwiatkowska
first month with a telecom provider
partcipants - 20 persons (50% M, 50% F) - recruited at the door of the provider’s shop - committed to buy a postpaid plan - signing an agreement to participate
diary / blog study
love / hate letters
why and when traditional user research?
- works great for the defined 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 flexibility to approach the solution
- building empathy
who should participate?
snowball sampling: when you want to find users who have similar
interests, jobs or lifestyle
extreme case sampling: when you want to find users who are extreme
representatives of certain behaviours (e.g. firemen for a decision-taking study
homogenous sampling: when you want to find users who are very much
alike in a certain aspect
maximum variation sampling: when you want to find users who are very different
with respect to a certain aspect
convenience sampling: when you just want to find users
who are together for some reason (eg. a workshop) and agree to participate in the study
opportunistic sampling: when you just want to find
truly random users
Denef, S.; Keyson, D.; Oppermann, R. Rigid Structures, Independent Units, Monitoring: Organizing Patterns in Frontline Firefighting. In Proceedings of the 2011 SIGCHI Conference on Human Factors in Computing Systems, Austin, TX, USA, 5–10 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.