Easy everything in UX Research, page 3
Stevens' Four Levels of Measurement
Data is not just numbers; Stevens' levels classify the nature of information each variable holds. In UX research, this determines whether you can average feedback or only count it. Treating every rating scale as a ratio number wrecks your analysis.
AEIOU: Five Buckets for Field Notes
AEIOU sorts notes into five buckets—Activities, Environments, Interactions, Objects, Users—so patterns emerge from chaos. Use it during field studies to categorize raw data. The footgun is treating its categories as rigid rules not editable heuristics.
The Rainbow Spreadsheet: Collaborative UX Observation
A Rainbow Spreadsheet makes UX research a team sport. It's a shared doc where observers log findings in real-time, with each participant assigned a color. This replaces a slow, formal report and builds shared understanding.
Qualitative Coding: Turning User Chatter into Actionable Themes
Think of thematic analysis as creating a tag cloud for user interviews. It groups raw feedback into meaningful patterns, turning noise into signal. Used after interviews to make sense of transcripts, the biggest mistake is just describing what users said.
Heatmaps: Visualizing User Attention
Think of a heatmap as a weather map for your app, showing 'hot' spots of user clicks and 'cold' spots they ignore. It reveals if users are clicking key buttons or getting distracted. The footgun: a hot spot can mean rage-clicks, not just engagement.
CSAT: Measuring If You Met Customer Expectations
CSAT measures if your product met a customer's expectations for a specific interaction. It's used to evaluate experiences like a support call or purchase, giving a direct pulse check on service quality.
Likert Scale: A Ruler for Opinions
A Likert scale turns subjective feelings into data by asking users to rate their agreement with a statement on a balanced scale. It's used in UX surveys to gauge attitudes.
Task Analysis: Mapping User Goals to Actions
Task analysis maps the specific actions (tasks) a user takes to achieve their larger objective (goal). It's used to ensure a product actually helps users, not just creates busywork. The key mistake is designing for the task instead of the user's true goal.
Think Aloud Protocol: Hear Your User's Inner Monologue
See your product through a user's eyes by having them narrate their thoughts live during a task. It's used in usability testing to uncover confusion, mismatched expectations, and the "why" behind clicks.
Semi-Structured Interviews: Uncover User Needs Through Conversation
A semi-structured interview is a guided conversation, not a rigid script, to uncover the 'why' behind user needs. Use it in discovery to define problems before designing.
Recruiting from a Customer Research Panel
Think of a customer research panel as your on-call list of users who've agreed to give feedback, making recruiting fast and cheap. Use it for a steady stream of participants for frequent studies.
Research Objectives: From 'What If' to 'What to Test'
Research objectives translate vague business worries into specific, testable questions about user behavior. They are the blueprint for your study, ensuring you test what matters.
UX Research Questions: The 'Why' Before the 'What'
A research question is your study's North Star—the high-level "why" you're conducting research, not a question you ask users. Before writing an interview guide, define these to keep your study focused.
Debriefing: Closing the Loop in Research
Debriefing is a structured conversation after a research session to gather feedback and clarify observations. Use it after usability tests to understand a user's thought process and answer their questions.
UX Research: Building for Real People, Not Assumptions
UX Research is about watching what people *do*, not just what they *say*, to build products that solve their actual problems. It's used to design everything from websites to medical devices, guiding development with real user feedback.
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