Easy concepts in UX Research
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.
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 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Normal Distribution: Two Parameters, One Bell Curve
A normal distribution is a bell curve for real-valued variables, defined by mean and standard deviation. Use it when values cluster around a center. The footgun is forcing normality on skewed or bounded data, which corrupts the probability density.
Correlation Does Not Mean Causation
Two metrics moving together does not mean one drives the other. In UX research, a spike in clicks after a redesign does not prove the redesign caused it. The footgun is treating every coincidence as proof your change worked.
Topline Report: The Research Snapshot
A topline report is the snapshot of a study: goals, key learnings, and context in one doc. Teams use it to align stakeholders days after research, sometimes before full analysis. Never skip the disclaimer or stakeholders will treat impressions as final.
Insight Wall: Synthesize Mixed Research Data
An insight wall clusters mixed research data so teams spot patterns interviews alone hide. Use it when notes, analytics, and stakeholder input must become design decisions. Teams often collect data but skip synthesis, so insights never form.
ResearchOps: The Pit Crew for User Research
ResearchOps is the backstage crew that makes user research scale. It provides roles, tools, and processes so researchers focus on insights, not logistics. Teams often assume researchers self-manage operations, which bottlenecks research as companies grow.
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