I apply a variety of methods, appropriate to research questions and settings.
My goal is to provide the best insights by taking a data-driven approach and by triangulating research.
I use qualitative methods, like contextual interviews, user diaries, and usability testing. I focus on online studies to reduce costs and required time.
In addition, I use quantitative methods to assess task completion, time-on-task, and user satisfaction. As a trained research scientist, my studies are sound, and my recommendations are based on thorough statistical analysis.
I use UX metrics, that is, data from quantitative research, to demonstrate improvement and track project success. I define key performance indicators and prove their contribution to business goals.
Not least, I have developed research methods that have been adopted by designers, researchers, and businesses.
For example, I developed a remote research process, including crowdsourced online studies and a computer-assisted multi-stage analysis:
Study participants are recruited using crowdsourcing platforms, like Mechanical Turk or Clickworker.
Participants note their ideas and experiences concerning a given design or software using online tools, like LimeSurvey.
Data is analyzed using annotation software, like TreeTagger and AntConc, to generate word and n-gram frequency lists.
Only one researcher analyzes the lists and identifies response patterns which she codes into categories.
The categories are used in further analysis, evaluation, or design, according to project specific requirements.
Randomized comparison of two variants
Collecting ideas and mental associations with a product or design
A group of people organizes topics into categories
Step-by-step evaluation from the user’s viewpoint
Assessing strengths and weaknesses of current and potential competitors
A semi-structured interview method, used while users are in their typical environments
Analyzing multimodal semiotic artifacts for discovering underlying knowledge
Learning about users by observing them in real-life contexts of use
Interview of a group of people in which their reactions are studied
A series of questions that provide qualitative and quantitative information from participants
Participants talk about their experience while performing tasks
Evaluation of the functionality of a product by observing users in a laboratory environment
Collecting qualitative self-reported data about activities and experiences by participants over time