Affinity Walls >>> What is qualitative data analysis >>> Understanding User Needs
Qualitative data analysis involves formal methods for analyzing data that includes non-quantified or non-quantifiable information. Qualitative data analysis may include the use of quantitative information, however.
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Qualitative data includes any information gathered from interviews, documents, and observations. It may also include quantitative information.
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The ability to take a large body of information and condense it to its essence is understanding, and understanding is intelligence!
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A good summary note should provide an aggregate understanding of the notes in the cluster.
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A summary should represent all of the information it represents without being so vague as to be uninformative.
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Qualitative data analysis methodologies all involve ways of clustering, sorting, and finding patterns.
A summary should represent all of the information it represents without being so vague as to be uninformative
An affinity wall is one way of doing qualitative data analysis. The methodology can be used in a wide range of contexts, even beyond user needs assessments.
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When clustering for qualitative data analysis, the goal is identify related pieces of data. Other concerns are secondary or unimportant.
