Qualitative data method map5/31/2023 ![]() No qualitative research can happen in a black box. This should have already be done at the very beginning of the research and is reflected in different sub topics and questions in your interviewer guideline. No qualitative research can happen in a black box, so at first you should be clear about your pre-existing assumptions about your research topic, users, etc. The tricky part is to balance your open approach with already existing hypotheses as well as your own bias and cherry picking. ![]() Reflecting on your assumptionsĭisciplines like social science provide some methodologies on how to dive deeply into your qualitative data without getting lost. Also, on this level, the synthesis that came out of the qualitative data is better prepared to connect with desk research or quantitative research. help to give an overview and visualize the relationships between different categories. ![]() At the outcome, frameworks like 2x2 matrices, venn diagrams, maps etc. Analyzing and reducing the data to display it in an organized way helps to cut through the clutter. As we humans are irrational, and usually people cannot state their number one problem for you to solve, we need to read between the lines and draw our own conclusions. Generative user research at the front end of innovation is gaining new understanding to people’s behaviors, meanings and needs. Speaking of different research levels, evaluative user research will be more on the right sight of the research continuum while generative research tends to the left side. If you are already familiar with your topic, you will have a lot of hypotheses and rather look for confirmation. If you are in new terrain, you will need to explore and be open to learn something new. There are different levels of research depending on your research questions and goals. Where do you sit in the research continuum? And for upfront, generative research in the problem space with many interviews, the wall quickly becomes overwhelming - or just too small. But sometimes, you might wonder if you missed something crucial within all theses notes. ![]() For a usability test, this is straightforward and if you’re looking for some inspiration for quick idea generation, this might be all you need. We all know this: A wall full of sticky notes with observations and quotes from research that get summed up in clusters. It very much boils down to the big picture vs the little picture, and each absolutely has its uses in everyday life.Beyond Post-Its and Affinity Mapping: Qualitative Data Analysis While they’re not great at nominal specifics, these maps give an excellent overview of landscape features like vegetation, ground/surface texture, essential roads and pathways, property lines, and more. However, none of this means that qualitative ones don’t have their fair share of positives. An especially timely example is the coronavirus maps that visually represent disease spread in our communities and countries. In many ways, this then allows quantitative maps to go deeper into the characteristics of geographic area than qualitative maps, as elevation, temperature, population counts, etc., are all frequently touched on. Meanwhile, a quantitative map uses statistics to present information related to numbers. Sitting there wondering how this translates into the world of maps? Qualitative maps draw on their thematic data and relay information about whether a chosen subject is present (or possibly absent!) in an area. ![]()
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