Bounce Rate
The percentage of visitors to a website who navigate away from the site after viewing only one page. Important for understanding user engagement and the effectiveness of a website's content and design.
The percentage of visitors to a website who navigate away from the site after viewing only one page. Important for understanding user engagement and the effectiveness of a website's content and design.
A theory that emphasizes the role of emotions in risk perception and decision-making, where feelings about risk often diverge from cognitive assessments. Important for designing systems that account for emotional responses to risk and improve decision-making.
A cognitive bias where people prefer familiar things over unfamiliar ones, even if the unfamiliar options are objectively better. Useful for designing interfaces and products that leverage familiar elements to enhance user comfort.
The rate at which customers stop using a product or service, often used as a metric to measure customer retention. Crucial for understanding customer behavior and improving retention strategies.
The phenomenon where the credibility of the source of information influences how the message is received and acted upon. Crucial for designing communication strategies that leverage trusted sources.
A quick and cost-effective usability testing method where feedback is gathered from users in informal settings, often in public places. Useful for gaining rapid insights into user behavior and improving designs iteratively.
A design approach that predicts user needs and actions to deliver proactive and personalized experiences. Crucial for creating seamless and intuitive user experiences.
A psychological phenomenon where the desire for harmony and conformity in a group results in irrational or dysfunctional decision-making. Crucial for recognizing and mitigating the risks of poor decision-making in teams.
A cognitive bias where individuals overestimate their own abilities, qualities, or performance relative to others. Important for understanding user self-perception and designing systems that account for inflated self-assessments.
Attention, Interest, Desire, Action (AIDA) is a marketing model that outlines the stages a consumer goes through from awareness to decision. Crucial for creating effective marketing strategies and campaigns.
The tendency for the first items presented in a sequence to be remembered better than those in the middle. Crucial for designing information presentation and improving memory retention.
A psychological perspective that emphasizes the study of the whole person and the uniqueness of each individual, focusing on concepts such as self-actualization and personal growth. Crucial for understanding and designing experiences that cater to individual user needs and potential.
A social norm of responding to a positive action with another positive action, fostering mutual benefit and cooperation. Important for designing user experiences and systems that encourage positive reciprocal interactions.
A cognitive architecture model that explains how humans can learn and adapt to new tasks. Useful for understanding user learning and behavior adaptation, informing better user experience design.
A mathematical framework used to analyze strategic interactions where the outcomes depend on the actions of multiple decision-makers. Useful for designing systems and processes that involve competitive or cooperative interactions.
The tendency for individuals to recall information that is consistent with their current mood. Important for understanding how mood affects memory and designing experiences that account for emotional states.
A rule-of-thumb or shortcut that simplifies decision-making and problem-solving processes. Essential for designing user-friendly interfaces that facilitate quick and efficient decision-making.
The series of actions or operations involved in the acquisition, interpretation, storage, and retrieval of information. Crucial for understanding how users handle information and designing systems that align with cognitive processes.
The tendency to believe that large or significant events must have large or significant causes. Important for understanding cognitive biases in decision-making and designing systems that present accurate causal relationships.
A cognitive bias where the perception of one positive trait influences the perception of other unrelated traits. Important for designers to manage and utilize this bias effectively in user experience design.
The tendency for negative information to have a greater impact on one's psychological state and processes than neutral or positive information. Important for understanding and mitigating the impact of negative information.
The tendency for individuals to give positive responses or feedback out of politeness, regardless of their true feelings. Crucial for obtaining honest and accurate user feedback.
The perception of a relationship between two variables when no such relationship exists. Crucial for understanding and avoiding biases in data interpretation and decision-making.
The phenomenon where individuals' expectations about a situation influence their actual experience of that situation. Useful for understanding the influence of expectations on outcomes.
A cognitive bias where individuals' expectations influence their perceptions and judgments. Relevant for understanding how expectations skew perceptions and decisions among users.
A cognitive bias where people tend to remember the first and last items in a series better than those in the middle, impacting recall and memory. Crucial for designing information presentation to optimize user memory and recall.
A decision-making rule where individuals choose the option with the highest perceived value based on the first good reason that comes to mind, ignoring other information. Crucial for understanding and designing for quick decision-making processes.
A cognitive bias that limits a person to using an object only in the way it is traditionally used. Important for designers to foster creative problem-solving and innovation.
A technique used to prime an audience before delivering a persuasive message. Essential for enhancing the effectiveness of persuasive communication by shaping audience receptivity.
The tendency for individuals to favor information that aligns with their existing beliefs and to avoid information that contradicts them. Crucial for understanding how users engage with content and designing systems that present balanced perspectives.
A marketing concept that describes brands that inspire loyalty beyond reason, creating an emotional connection with consumers. Crucial for building strong brand loyalty and emotional engagement.
A cognitive bias where decision-making is affected by the lack of information or uncertainty. Important for understanding and mitigating user decision-making biases due to uncertainty or lack of information.
A research approach that starts with observations and develops broader generalizations or theories from them. Useful for discovering patterns and generating new theories from data.
Quantitative data that provides broad, numerical insights but often lacks the contextual depth that thick data provides. Useful for capturing high-level trends and patterns, but should be complemented with thick data to gain a deeper understanding of user behavior and motivations.
The way information is presented to users, which can significantly influence their decisions and perceptions. Important for designing messages and interfaces that guide user choices effectively.
A psychological principle where people are more likely to be influenced by those they like. Important for understanding social influences and improving user engagement and marketing strategies.
A cognitive bias where people give greater weight to outcomes that are certain compared to those that are merely probable. Important for designers to consider how users weigh certain outcomes more heavily in their decision-making.
Anchoring (also known as Focalism) is a cognitive bias where individuals rely heavily on the first piece of information (the "anchor") when making decisions. Crucial for understanding and mitigating initial information's impact on user decision-making processes.
A design approach that uses data, algorithms, and predictive analytics to anticipate user needs and behaviors, creating more personalized and effective experiences. Crucial for enhancing user experience through anticipation and personalization.
A mental shortcut that relies on immediate examples that come to mind when evaluating a specific topic, concept, method, or decision. Crucial for understanding how people make decisions and the biases that influence their choices.
Emotional states where individuals are calm and rational, often contrasted with hot states where emotions run high. Important for understanding decision-making processes and designing experiences that accommodate both states.
A test proposed by Alan Turing to determine if a machine's behavior is indistinguishable from that of a human. Important for evaluating the intelligence of AI systems.
Conversion Rate Optimization (CRO) is the systematic process of increasing the percentage of website visitors who take a desired action, such as making a purchase or filling out a form. Crucial for improving user engagement and achieving business goals.
The study of dynamic systems that are highly sensitive to initial conditions, leading to unpredictable behavior. Important for recognizing and managing unpredictable elements in design and development processes.
A leadership philosophy where the leader prioritizes the needs of the team, empowering and supporting members to achieve their full potential and fostering a collaborative, inclusive environment. Important for building strong, motivated teams, enhancing collaboration, and promoting a culture of trust and respect within an organization.
A framework that explores the structure and function of stories and how they influence human cognition and behavior. Important for creating compelling and meaningful user experiences through storytelling.
User Experience (UX) refers to the overall experience of a person using a product, system, or service, encompassing all aspects of the end-user's interaction. Crucial for creating products that are not only functional but also enjoyable, efficient, and satisfying to use.
The tendency for people to value products more highly if they have put effort into assembling them. Important for understanding user satisfaction and product attachment.
A user-centered design process that involves understanding users' needs and workflows through field research and applying these insights to design. Essential for creating designs that are deeply informed by user contexts and behaviors.
A mode of thinking, derived from Dual Process Theory, that is fast, automatic, and intuitive, often relying on heuristics and immediate impressions. Important for understanding how users make quick decisions and respond to design elements instinctively, aiding in the creation of intuitive and user-friendly interfaces.
The study of the interplay between individuals and their surroundings, including built environments and natural settings. Essential for designing spaces that enhance well-being and productivity.
Marketing Qualified Lead (MQL) is a prospective customer who has shown interest in a company's product or service and meets specific criteria indicating a higher likelihood of becoming a customer. Essential for prioritizing leads and optimizing the efficiency of sales and marketing efforts by focusing resources on prospects most likely to convert.
A design technique that overrides the default scrolling behavior, often to create a more controlled or immersive experience. Controversial; can enhance or hinder user experience depending on implementation.
AI systems that can dynamically adjust their behavior based on new data or changes in the environment. Important for developing systems that can respond to real-time changes and improve over time.
An approach that places the user's needs, preferences, and behaviors at the forefront of all design and development activities. Important for fostering a design culture that prioritizes user satisfaction and engagement.
The percentage of users who take a specific action that signifies they are engaging with a product or service. Important for measuring user engagement and the effectiveness of onboarding processes.
A cognitive bias where people place too much importance on one aspect of an event, causing errors in judgment. Important for understanding decision-making and designing interfaces that provide balanced information.
A cognitive bias where people rely too heavily on their own perspective and experiences when making decisions. Important for designers to recognize and mitigate their own perspectives influencing design decisions.
A statistical measure that quantifies the amount of variation or dispersion of a set of data values. Essential for understanding data spread and variability, which helps in making informed decisions in product design and analysis.
A graphical representation of the distribution of numerical data, typically showing the frequency of data points in successive intervals. Important for analyzing and interpreting data distributions, aiding in decision-making and optimization in product design.