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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.
UX Research Incentives: How Much to Pay Participants
Think of research incentives as an investment in data quality, not just a cost. For a 60-minute interview, budget $75-150 for consumers or $200-500 for specialists. The footgun is underpaying: you'll get poor data and waste everyone's time.
Snowball Sampling: When Your Users Find Your Users
Snowball sampling has your first participants recruit the next ones from their network. It's vital for reaching hidden groups, like specific professional communities. The footgun is selection bias: you're sampling social networks, not the whole population.
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.
Longitudinal Study: Watching Change Over Time
Think of it as a movie, not a snapshot. A longitudinal study tracks the same users over time to see how behavior evolves, revealing cause and effect. It's used to measure long-term feature adoption or churn.
Pilot Studies: A Dress Rehearsal for User Research
A pilot study is a dress rehearsal for your user research. You run 1-2 practice sessions to find flaws in your study design, not the product. It's crucial for remote tests or high-stakes projects.
UX Sampling: Convenience vs. Probability
Convenience sampling is fast and cheap—ask whoever is easy to reach. Probability sampling is rigorous—ask a random slice of your population. Use convenience for quick usability tests, but probability for high-stakes decisions.
How to Choose a UX Research Method
Map your research question to a 3D space: what people say vs. do (attitudinal vs. behavioral), and direct observation vs. indirect measurement (qual vs. quant). This helps you select the right tool, from surveys to A/B tests.
Screener Surveys: Your Filter for Valid User Research
A screener survey is your filter for finding the right research participants. It ensures your study includes representative users, not just anyone, by asking questions about their behaviors and demographics.
Research Hypothesis: A Testable Bet on Reality
A research hypothesis is a testable bet about user behavior, not just a guess. It frames A/B tests by turning an observation into a statement you can prove or disprove. The footgun is confusing it with a theory; a hypothesis is a starting point, not.
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.
Deception: The Core Concept
Deception is the act of convincing someone of untrue information that the sender knows is false. It's often done for personal gain and relies on the receiver's lack of knowledge about the truth.
GDPR for UX Research: Beyond the Consent Form
GDPR forces you to treat user data with respect: collect only what you need for a specific purpose and keep it safe. It applies to all research involving personal data from EU residents. The biggest footgun is collecting data "just in case."
Institutional Review Board (IRB): Your Research Ethics Checkpoint
An IRB is an ethics committee that acts as a mandatory checkpoint for research involving human subjects. Before running user studies or surveys, especially in academic or medical settings, you must get their approval.
Securing Research Data with a Management System
Treat data security as a living system for managing risk, not a one-off checklist. A framework like ISO 27001 helps you systematically protect sensitive research data by defining policies and controls.
Data Minimization: Collect Only What You Need
Treat user data like a liability, not an asset. The Data Minimization principle states you should only collect personal data that is strictly necessary for a specific purpose. This is a core tenant of GDPR. The footgun is collecting data "just-in-case".
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 Repository: Your Team's Shared Brain
A research repository is your team's shared brain for user insights, preventing knowledge from getting lost. It centralizes reports, recordings, and notes, making them searchable to prevent duplicate studies. The main footgun is poor adoption.
Triangulation: Stronger UX Insights from Multiple Angles
Triangulation strengthens research by combining methods to cover each one's blind spots. For example, pair a quantitative study showing *what* users do with a qualitative one explaining *why*. The footgun is treating a single data source as definitive proof.