This content originally appeared on NN/g latest articles and announcements and was authored by Sara Ramaswamy
Summary: Data refers to unanalyzed user observations, findings capture patterns among data points, and insights are the actionable opportunities based on research and business goals.
A shared vocabulary and understanding of data, findings, and insights will enable you to communicate where you are relative to where you need to be in your research analysis.
Data are simply a collection of data points which lack significance individually. As soon as researchers start to do any level of analysis on these data points, we have information. The type of information we have depends on the level of analysis completed. The first level of analysis yields findings, which are patterns among a specific set of data points that still lack critical context. The final level of analysis yields insights, which explain observed patterns and identify actionable opportunities. Insights are what researchers should strive to create.
Raw Data Lacks Context
Definition : Data refers to an unanalyzed collection of observations about users that may include transcripts, notes, metrics, or survey output.
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This content originally appeared on NN/g latest articles and announcements and was authored by Sara Ramaswamy
Sara Ramaswamy | Sciencx (2023-04-23T16:00:00+00:00) Data vs. Findings vs. Insights: The Differences Explained. Retrieved from https://www.scien.cx/2023/04/23/data-vs-findings-vs-insights-the-differences-explained/
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