Intermediate everything in Design & UX, page 23
E-E-A-T: Google's Human Quality Bar for Content
E-E-A-T is how Google's human reviewers judge if content is truly helpful or merely optimized. It matters most for health and finance, where bad advice causes real harm.
Trademark Usage: Treat Brands as Adjectives
A trademark is an adjective, never a verb. When writing copy or UI text, use ™ for unregistered and ® for registered marks, and distinguish them from surrounding text. The footgun is treating brands as verbs or implying endorsement when citing third parties.
Clickstream Analysis: Following the User's Footsteps
Clickstream analysis is like watching a replay of a user's journey through your site, click by click. It's used to optimize conversion funnels and find friction points. The footgun is focusing on the *what* (the path) without asking *why* a user took it.
Survey Response Bias: When Answers Mislead
Survey answers aren't raw data; they're filtered through human psychology. Response bias describes the predictable ways people answer inaccurately, common in user surveys and market research. The footgun is taking responses at face value, ignoring biases.
Customer Effort Score (CES): Measure Task Friction
Customer Effort Score (CES) measures how much work a customer expends to complete a task. It answers 'How easy was it?' right after a support interaction, purchase, or onboarding.
P-Value: Gauging Surprise, Not Certainty
A p-value measures surprise: it's the probability of seeing your results by chance, assuming your change had no effect. It's used in A/B testing to decide if an effect is noise or significant. A small p-value doesn't prove your hypothesis is true.
Cognitive Walkthrough: See Through a New User's Eyes
A cognitive walkthrough is like role-playing a new user trying a specific task for the first time. It finds usability flaws early by simulating a first-time user's journey. The footgun is confusing it with a holistic review; this method is for specific tasks.
Tree Testing: Validate Your Site's Navigation Structure
Tree testing validates your site's navigation by asking users to find items in a text-only hierarchy. It's used to test a proposed information architecture before any UI is built. The footgun is confusing it with card sorting, which creates a structure.
First Click Testing: Predicting Task Success with One Click
First Click Testing predicts if users can complete a task by tracking where they'd click first on an interface. If the first click is right, success is far more likely. It's used to validate navigation and UI clarity. The footgun is a poorly phrased task.
Participatory Design: Designing With, Not For, Users
Participatory design means designing *with* users as co-creators, not just *for* them. It's used in software, architecture, and urban planning to ensure the final product truly fits the community.
Open Card Sorting: Map Your User's Brain
Open card sorting reveals how users mentally group your content. You give them topics on cards and ask them to sort them into groups they create and name. It's ideal for designing intuitive navigation.
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.
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.
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".
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