Practice research synthesis vocabulary: affinity mapping, thematic analysis, insight vs observation, triangulation, and saturation in qualitative research.
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What is 'affinity mapping' (also called an affinity diagram) in UX research synthesis?
Affinity mapping (developed by Jiro Kawakita — also called the KJ method) externalises research data onto individual notes, then teams collaboratively cluster similar notes to emerge themes. It's inductive: themes arise from the data rather than being imposed. Works on a physical wall or digitally (Miro, FigJam). Typical flow: download all notes → silent clustering → name clusters → identify insights → prioritise.
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In research synthesis, what is the difference between an 'observation' and an 'insight'?
Observation: 'Three out of five participants clicked the wrong button on the confirmation screen.' Insight: 'Users expect the primary action to be on the right side; placing Cancel on the right caused repeated errors, suggesting our button order violates established convention and user mental models.' The insight adds the 'so what' — it frames the finding as a design implication.
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What does 'triangulation' mean in the context of UX research?
Triangulation reduces the risk that a finding is an artefact of one method's blind spots. Types: data triangulation (multiple data sources — interviews + analytics + support tickets), methodological triangulation (multiple methods — survey + diary study), investigator triangulation (multiple researchers analyse the same data). If three different sources all point to the same problem, confidence in the finding increases substantially.
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In qualitative research, what is 'saturation'?
Theoretical saturation (Glaser & Strauss) is the criterion for stopping data collection in qualitative research: once new participants are no longer surfacing new themes, you have a sufficient sample. In practice, UX researchers often see saturation after 5–8 interviews for a well-scoped question (Nielsen's '5 users' rule applies to usability testing specifically). Saturation depends on participant diversity and research breadth.
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A researcher says: 'I'm doing thematic analysis on the interview transcripts.' What does this involve?
Thematic analysis (Braun & Clarke) has six phases: (1) familiarise with data, (2) generate initial codes (label meaningful segments), (3) search for themes (group codes), (4) review themes, (5) define and name themes, (6) produce the report. It can be inductive (themes emerge from data) or deductive (themes test a pre-existing framework). One of the most widely used qualitative analysis methods in UX.
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During a code review of the new mobile app's user feedback data, Sarah notices several users consistently mentioning frustration with the checkout process. She compiles these comments into a table highlighting recurring themes like 'confusing steps' and 'unexpected fees'. What UX research synthesis technique is Sarah primarily employing here?
Sarah is using affinity mapping by grouping related comments into themes. This technique helps uncover patterns and insights from qualitative data—in this case, user feedback—without relying on statistical methods. Root cause analysis would focus on *why* the issues are happening, while A/B testing involves controlled experiments to compare different versions.
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In a Slack channel discussing post-launch user research findings, Mark says: 'We need to dig deeper into *why* users are abandoning their shopping carts. Let's look for specific pain points and motivations.' Which approach is Mark suggesting?
Mark is advocating for a 'Why' analysis, also known as the '5 Whys' technique. This involves repeatedly asking 'why' to drill down and uncover the underlying reasons behind user behavior – in this case, cart abandonment. User journey mapping focuses on visualizing *how* users interact, while card sorting helps structure information.
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During a sprint retrospective, the product manager asks the UX research team to 'validate our findings with more data'. Which of the following best describes what she means?
The product manager is referring to triangulation – combining data from different sources (surveys, analytics, usability testing) to strengthen the validity of insights. This approach helps reduce bias and provides a more robust understanding than relying solely on one type of data. A competitive analysis focuses on industry standards, while personas are representations of users based on initial research.
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A UX researcher is analyzing interview transcripts and notices that the same themes—'difficulty navigating menus' and 'lack of clear instructions'—keep appearing across different participants. The researcher concludes that data saturation has been reached. What does this term signify in qualitative research?
Saturation in qualitative research means that ongoing data collection isn't revealing any new themes or insights; the existing data is 'full'. It doesn't depend on a specific number of participants but rather when new data no longer adds to the understanding. Statistical significance and expert interviews are irrelevant here.
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You're writing the PR description for a new feature release in an e-commerce app. The UX research team has identified that users frequently struggle to find personalized product recommendations. What phrasing would best communicate this finding to the development team?
This phrasing clearly highlights the *problem* – that users are struggling with personalized recommendations – and its impact (low satisfaction). Options A and C describe positive outcomes or technical details, while option D is too general. This communicates the urgency for a fix to the development team.
This exercise, "UX Research Synthesis Vocabulary", tests your understanding of ux research vocabulary and phrasing through 10 multiple-choice questions drawn from real workplace scenarios.
Is this exercise free to use?
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How many questions does this exercise have?
This exercise has 10 questions. Each one presents a realistic sentence or scenario with multiple-choice options and an explanation once you answer.
What happens after I answer a question?
You'll see immediate feedback showing whether your answer was correct, along with a short explanation of why — then a button to move to the next question.
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No — progress within an exercise resets if you navigate away or reload. Each exercise is short enough to complete in a few minutes in one sitting.
Who is this UX Research exercise for?
It's designed for IT professionals and learners who want to sound natural discussing ux research topics in English — useful for meetings, documentation, interviews, and day-to-day communication with English-speaking teams.
How is this different from reading a glossary or blog article?
Exercises like this one are active recall drills — you have to choose the correct term or phrasing yourself, which builds retention faster than passively reading a definition.
Where can I find more UX Research exercises?
Browse the full UX Research exercises hub for more practice, or explore other exercise categories covering vocabulary, grammar, interviews, and workplace communication.