UX metrics – measuring the success of usability and user experience in laboratory automation product development
Häkkinen, Petteri (2020)
Häkkinen, Petteri
2020
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2020120125393
https://urn.fi/URN:NBN:fi:amk-2020120125393
Tiivistelmä
This thesis studied measuring of the outcome and success of usability engineering and user experience (UX) design in laboratory automation product development. The objective was to create a suitable set of UX metrics that could help in the measuring, which could then be used to justify the importance of usability engineering and UX de-sign, and to justify where to allocate the limited design resources.
The theoretical part of the thesis included relevant information related to the theoretical background of the work and the research methodologies that were used. The discussion of the theoretical background introduced the basic concepts such as user centered design, usability, and user experience and included also the principles of UX metrics and the return on investment of UX activities. Lean UX canvas and DMAIC (define, measure, analyze, improve, control) process were selected as the main tools and techniques for the research. The lean UX canvas was selected because it could be used to address the business problem, to find solutions to the problem, and to see towards which direction to move next. DMAIC process on the other hand offered a framework and tools to examine the business problem closer, to analyze the root causes of the business problem, and to find solutions for it.
As the main result of the thesis a recommended list of UX metrics was created. The UX metrics were formed through both the theory introduced in the thesis and the experiments that were conducted to collect data and to ensure that the UX metrics work in their intended context. The thesis succeeded in creating a set of UX metrics that can be recommended to be used when measuring the outcome and success of usability engineering and user experience design in laboratory automation product development.
The theoretical part of the thesis included relevant information related to the theoretical background of the work and the research methodologies that were used. The discussion of the theoretical background introduced the basic concepts such as user centered design, usability, and user experience and included also the principles of UX metrics and the return on investment of UX activities. Lean UX canvas and DMAIC (define, measure, analyze, improve, control) process were selected as the main tools and techniques for the research. The lean UX canvas was selected because it could be used to address the business problem, to find solutions to the problem, and to see towards which direction to move next. DMAIC process on the other hand offered a framework and tools to examine the business problem closer, to analyze the root causes of the business problem, and to find solutions for it.
As the main result of the thesis a recommended list of UX metrics was created. The UX metrics were formed through both the theory introduced in the thesis and the experiments that were conducted to collect data and to ensure that the UX metrics work in their intended context. The thesis succeeded in creating a set of UX metrics that can be recommended to be used when measuring the outcome and success of usability engineering and user experience design in laboratory automation product development.