Analysis of the data is usually not mathematical. Concept-testing methods employ a rough approximation of a product or service that gets at the heart of what it would provide and not at the details of the experience in order to understand if users would want or need such a product or service.
This can be described as: In field studies and usability studies, for example, the researcher directly observes how people use technology or not to meet their needs.
For example, field studies can focus on what people say ethnographic interviews or what they do extended observations ; desirability studies and card sorting have both qualitative and quantitative versions; and eyetracking can be scripted or unscripted.
Research methods in this phase can vary greatly. The following chart illustrates how the first two dimensions affect the types of questions that can be asked: Intercept surveys and data mining or other analytic techniques are quantitative examples of this.
User Testing 8 Summary: Unfortunately many design teams only use one or two methods that they are familiar with. They utilize a mixture of self-reported and behavioral data, and can move toward either end of this dimension, though leaning toward the behavioral side is generally recommended.
For example, participatory-design methods allows users to interact with and rearrange design elements that could be part of a product experience, in order discuss how their proposed solutions would better meet their needs and why they made certain choices.
To know when to use which user research method, each of 20 methods is mapped across 3 dimensions and over time within a typical product-development process. On the other end of this dimension, methods that focus mostly on behavior seek to understand "what people do" with the product or service in question.
This gives them the ability to ask questions, probe on behavior, or possibly even adjust the study protocol to better meet its objectives.
The degree of scripting can vary quite a bit, depending on the study goals. The table below summarizes these goals and lists typical research approaches and methods associated with each: Most of the methods in the chart can move along one or more dimensions, and some do so even in the same study, usually to satisfy multiple goals.
Between these two extremes lie the two most popular methods we use: Research in this phase is mainly formative and helps you reduce the risk of execution.
In the beginning phase of the product development, you typically consider new ideas and opportunities for the future. This provides greater validity but less control over what topics you learn about.
Modern day UX research methods answer a wide range of questions. The Context of Product Use The third distinction has to do with how and whether participants in the study are using the product or service in question.
Behavioral Context of Use The following chart illustrates where 20 popular methods appear along these dimensions: By contrast, insights in quantitative methods are typically derived from mathematical analysis, since the instrument of data collection e.
Many ethnographic field studies attempt to do this, though there are always some observation biases. At some point, the product or service will be available for use by enough users so that you can begin measuring how well you are doing. Behavioral Dimension This distinction can be summed up by contrasting "what people say" versus "what people do" very often the two are quite different.Summary: Modern day UX research methods answer a wide range of questions.
To know when to use which user research method, each of 20 methods is mapped across 3 dimensions and over time within a typical product-development process. The field of user experience has a wide range of research methods. There are so many factors to take into account and evaluate when selecting smong different research methods.
Qualitative research is a category of research methods in which researcher takes a vigorous role in communicating with the participants he or she wants to analyze. Qualitative research designs are the methods that produce verbal summaries of research determinations with no statistical sum-ups or analysis.
The research design matrix is a system of rows and columns into which the components of a research project fit, including the goal, objectives, definitions, hypotheses, variables, methods of analysis and anticipated conclusions.
Thus, the matrix encapsulates the research design, or what the researcher intends to do in the investigation. This technique is most appropriate when you want to make sure that you have adequate preparation, especially the appropriate methods to use, to answer the research questions.
What is a matrix? My students would mull at me every time I tell them about using a matrix to do their research work in a more ordered, straightforward or effective manner.Download