Data, Findings, and Insights: Understanding Key UX Research Concepts
By
[email protected] (Vitaly Friedman)
Pale, doughy, and a touch sad. Eat if peckish.
Summary
This article clarifies the distinct meanings of data, findings, and insights in UX research. It explains that data are raw observations, findings are interpreted patterns from data, and insights are actionable understandings that drive design decisions. The article also addresses how to argue for statistical significance in UX research, emphasizing practical significance over rigid statistical thresholds. It provides guidance on communicating research value to stakeholders and demonstrating the impact of UX work on business outcomes.
Key quotes
· 3 pulledIn many companies, data, findings, and insights are all used interchangeably.
Slack conversations circle around convincing data points, statistically significant findings, reliable insights, and emerging trends.
Unsurprisingly, conversations often mistake sporadic observations for consistent patterns.
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