Quality Function Deployment (QFD) is a method used to transform customer needs into engineering characteristics for a product or service. Essential for ensuring that customer requirements are systematically incorporated into the design and development process.
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 collaborative process spanning multiple stages of product/service development where stakeholders, including users, actively participate in the design and development of products or services. Crucial for creating products that meet user needs and foster innovation.
Jobs-To-Be-Done (JTBD) is a framework that focuses on understanding the tasks users are trying to accomplish with a product, emphasizing their goals and motivations over product features. Crucial for designing products that meet real user needs and motivations.
Business Process Modeling Language (BPML) is a language used for modeling business processes, enabling the design and implementation of process-based applications. Important for defining complex business processes and ensuring their effective implementation in digital products.
The excessive addition of features in a product, often leading to complexity and reduced usability. Crucial for maintaining simplicity and usability in product design.
A cognitive bias where bizarre or unusual information is better remembered than common information. Useful for designers to create memorable and engaging user experiences by incorporating unique elements.
3-Tiered Architecture is a software design pattern that separates an application into three layers: presentation, logic, and data. Crucial for improving scalability, maintainability, and flexibility in software development.
A collection of pre-written code and tools that provide a foundation for building the front end of websites and applications, such as Bootstrap or React. Crucial for streamlining the development process and ensuring consistency.
Providing clear, concise, and relevant navigation options to help users find what they need quickly. Crucial for improving user experience and efficiency in digital products.
The pursuit of a healthy relationship with technology, balancing its use to enhance well-being without causing harm. Important for promoting healthy technology use and designing user experiences that support well-being.
The study of how digital media and technologies influence the way we communicate and persuade. Important for designing effective digital communication strategies.
A theory of emotion suggesting that physical and emotional responses to stimuli occur simultaneously and independently. Important for understanding user emotions and designing empathetic user experiences.
The Principle of Objects is an information architecture guideline that treats content as living, distinct entities with behaviors and attributes. Crucial for creating modular, reusable, and flexible content structures.
Specific roles assigned to HTML elements to define their purpose and behavior in an accessible manner. Crucial for improving the accessibility and usability of web applications.
The process of testing and evaluating a design to ensure it meets user needs and business goals before final implementation. Crucial for ensuring that designs are effective and meet intended objectives.
A tree-like model of decisions and their possible consequences, used in data mining and machine learning for both classification and regression tasks. Valuable for creating interpretable models in digital product design and user behavior analysis.
An experimental design where subjects are paired based on certain characteristics, and then one is assigned to the treatment and the other to the control group. Important for reducing variability and improving the accuracy of experimental results.
A design approach that divides a system into smaller parts or modules that can be independently created, modified, replaced, or exchanged. Crucial for creating flexible, scalable, and maintainable systems.
The practice of planning and organizing people, infrastructure, communication, and material components of a service to improve its quality and the interaction between service providers and customers. Essential for creating effective and user-centered service experiences.
A user-centered approach to problem-solving that involves empathy, ideation, prototyping, and testing. Crucial for developing innovative and effective solutions that meet user needs.
A design approach that predicts user needs and actions to deliver proactive and personalized experiences. Crucial for creating seamless and intuitive user experiences.
Designing systems and processes to effectively respond to and manage crises, ensuring resilience and quick recovery. Crucial for preparing for unexpected events and minimizing their impact.
A design pattern that combines human and machine intelligence to enhance decision-making and problem-solving. Important for leveraging AI to support and amplify human capabilities.
A fictional representation of a user segment, created based on user research to guide design decisions and ensure the product meets the needs of its target audience. Crucial for keeping design efforts focused on user needs and preferences.
The practice of using data analytics and metrics to make informed decisions, focusing on measurable outcomes and efficiency rather than intuition or traditional methods. Important for optimizing design processes, improving product performance, and making data-driven decisions that enhance user experience and business success.
A cognitive bias where people overemphasize information that is placed prominently or in a way that catches their attention first. Crucial for designing interfaces and information displays that manage user attention effectively.
The systematic computational analysis of data or statistics to understand and improve business performance. Essential for data-driven decision making in design, product management, and marketing.
Also known as "Maslow's Hammer," a cognitive bias where people rely too heavily on a familiar tool or method, often summarized as "if all you have is a hammer, everything looks like a nail.". Important for designers to recognize and avoid over-reliance on familiar methods in problem-solving and design.
An analysis comparing the costs and benefits of a decision or project to determine its feasibility and value. Important for making informed business and design decisions.
A cognitive bias where repeated statements are more likely to be perceived as true, regardless of their actual accuracy. Crucial for understanding how repetition influences beliefs and designing communication strategies for users.
Joint Application Development (JAD) is a collaborative approach to gathering requirements and designing solutions in software development projects. It facilitates rapid decision-making and consensus-building by bringing together key stakeholders, including users, developers, and project managers, in structured workshop sessions.
A cognitive bias where people wrongly believe they have direct insight into the origins of their mental states, while treating others' introspections as unreliable. Important for designing experiences that account for discrepancies between user self-perception and actual behavior.
A principle that suggests the simplest explanation is often the correct one, favoring solutions that make the fewest assumptions. Crucial for problem-solving and designing straightforward, efficient solutions.
The process of evaluating a product by testing it with real users to gather feedback and identify usability issues. Essential for validating design decisions and ensuring the product meets user needs.
A usability test where users are shown a design for 5 seconds to measure recall and initial reactions. Important for designers to test how well key information and elements are conveyed quickly to users.
The interpretation of historical data to identify trends and patterns. Important for understanding past performance and informing future decision-making.
A cognitive bias where people avoid negative information or situations, preferring to remain uninformed or ignore problems. Important for understanding user behavior and designing systems that encourage proactive engagement.
The process of making predictions about future trends based on current and historical data. Useful for anticipating user needs and market trends to inform design decisions.
A research method that involves forming a theory based on data systematically gathered and analyzed. Useful for developing design theories and solutions that are directly grounded in user research and data.
The tendency to give more weight to negative experiences or information than positive ones. Crucial for understanding user behavior and designing systems that balance positive and negative feedback.
A behavioral economics concept where people categorize and treat money differently depending on its source or intended use. Crucial for understanding financial behavior and designing systems that align with users' mental accounting practices.
Elements in a design that draw the viewer's attention and create a visual hierarchy. Essential for guiding user attention and improving the effectiveness of visual communication.
The representation of data through graphical elements like charts, graphs, and maps to facilitate understanding and insights. Essential for making complex data accessible and actionable for users.
A psychological phenomenon where people follow the actions of others in an attempt to reflect correct behavior for a given situation. Essential for designing interfaces and experiences that leverage social influence to guide user behavior and increase trust and engagement.
A dark pattern where practices are used to make it hard for users to compare prices with other options. It's essential to avoid this tactic and promote fair competition by allowing users to make informed decisions.
The process of arranging related objects in parallel or at 90-degree angles for visual organization and efficiency. Useful for designers to maintain an organized workspace, enhance visual clarity, and streamline their workflow.
The process of understanding user behaviors, needs, and motivations through various qualitative and quantitative methods. Essential for designing user-centered products and ensuring they meet actual user needs.
A phenomenon where an item that stands out is more likely to be remembered than other items, often used in design to highlight important elements. Crucial for designing interfaces that effectively capture user attention.
The persistence of misinformation in memory and influence on reasoning, even after it has been corrected. Crucial for understanding and mitigating the impact of misinformation in design and communication.
The tendency to avoid information that one perceives as potentially negative or anxiety-inducing. Important for designing experiences that encourage information-seeking behavior.
A dark pattern where the user is guilt-tripped into opting into something by using language designed to shame them if they decline. Designers must avoid this manipulative tactic and respect user decisions without using guilt or shame.
A cognitive bias where individuals overestimate their ability to control impulsive behavior, leading to overexposure to temptations. Important for designing systems that help users manage self-control and avoid overexposure to temptations.
The arrangement of visual elements in a way that signifies their importance, guiding users' attention to the most critical parts of a design. Essential for creating effective and intuitive user interfaces that enhance usability and user experience.
A range of values, derived from sample statistics, that is likely to contain the value of an unknown population parameter. Essential for making inferences about population parameters and understanding the precision of estimates in product design analysis.
The process of integrating knowledge into computer systems to solve complex problems, often used in AI development. Important for developing intelligent systems that can perform complex tasks and support decision-making in digital products.
Research aimed at exploring and identifying new opportunities, needs, and ideas to inform the design process. Essential for discovering user insights and guiding innovative design solutions.
A cognitive bias where people assume others share the same beliefs, values, or preferences as themselves. Important for helping designers avoid projecting their own biases and assumptions onto users during research and design.
A tool used to organize ideas and data into groups based on their natural relationships. Essential for designers and product managers to synthesize information and generate insights.
A cognitive bias where people underestimate the influence of emotional states on their own and others' behavior. Crucial for designers to account for varying user emotional states in experience design.