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 individuals or organizations continue to invest in a failing project or decision due to the amount of resources already committed. Important for designers to recognize and mitigate their own risks of continuing unsuccessful initiatives.
The process of providing incentives or rewards to encourage specific behaviors or actions. Important for motivating user behavior and increasing engagement.
An inference method used in AI and expert systems where reasoning starts from the goal and works backward to determine the necessary conditions. Important for developing intelligent systems that can solve complex problems by working from desired outcomes.
A psychological effect where exposure to one stimulus influences the response to a subsequent stimulus, without conscious guidance or intention. Crucial for designing experiences that subtly guide user behavior and decision-making.
The psychological phenomenon where people prefer options that are not too extreme, but just right. Crucial for designing products and experiences that cater to the majority preference.
The stages a product goes through from introduction to growth, maturity, and decline, influencing marketing and development strategies. Crucial for planning product development and marketing strategies at each stage of the product's life.
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.
A dark pattern where availability is falsely limited to pressure users into making a purchase. Awareness of this deceptive practice is important to provide honest information about product availability.
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 research method used to determine how desirable a product or feature is to potential users. Crucial for understanding user preferences and guiding product development.
The phenomenon where people continue a failing course of action due to the amount of resources already invested. Important for recognizing and mitigating biased decision-making.
The application of neuroscience principles to design, aiming to create more effective and engaging user experiences based on how the brain processes information. Crucial for creating designs that align with human cognitive and emotional processes.
A cognitive bias where people perceive past events as having been more predictable than they actually were. Important for understanding and mitigating biases in user feedback and decision-making.
Entity Relationship Diagram (ERD) is a visual representation of the relationships between entities in a database. Essential for designing and understanding the data structure and relationships within digital products.
The economic theory that suggests limited availability of a resource increases its value, influencing decision-making and behavior. Important for creating urgency and increasing perceived value in marketing.
The SEO value or authority passed from one website to another through hyperlinks, influencing the search engine ranking of the linked site. Important for understanding and leveraging the impact of links on SEO performance.
A psychological phenomenon where people remember uncompleted or interrupted tasks better than completed tasks. Crucial for designing engaging experiences that leverage task incompletion to maintain user interest.
Cost of Delay (CoD) is a metric that quantifies the economic impact of delaying a project, feature, or task. Important for making informed decisions about project prioritization and resource allocation.
Emerging patterns and movements in design that gain popularity and influence on a global scale. Important for staying current with industry standards and innovating design practices.
A statistical phenomenon where two independent events appear to be correlated due to a selection bias. Important for accurately interpreting data and avoiding misleading conclusions.
The risk that the product being developed will not deliver sufficient value to the users, meaning it won't meet their needs or solve their problems. Critical for ensuring the product will be desirable and valuable to the users, which is essential for its success.
A detailed schedule outlining the key milestones and activities leading up to and following the launch of a new product. Important for ensuring timely execution of all tasks related to the product launch.
A reading pattern where users skip over certain sections of content, often due to a lack of perceived relevance. Crucial for designing content that is engaging and relevant to prevent users from bypassing important information.
A mode of thinking, derived from Dual Process Theory, that is slow, deliberate, and analytical, requiring more cognitive effort and conscious reasoning. Crucial for designing complex tasks and interfaces that require thoughtful decision-making and problem-solving, ensuring they are clear and logical for users.
A theory in environmental psychology that suggests people prefer environments where they can see (prospect) without being seen (refuge). Useful for understanding environmental design and creating spaces that feel safe and inviting.
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 phenomenon where users perceive aesthetically pleasing designs as more usable, regardless of the actual usability. Important for designers to understand the impact of aesthetics on user perception and usability.
The practice of comparing performance metrics to industry bests or best practices from other companies. Essential for identifying performance gaps and opportunities for improvement.
An approach to design that explores and creates provocative scenarios of future possibilities to stimulate discussion and critical thinking about the direction of design and society. Important for pushing the boundaries of conventional design thinking and envisioning future implications.
The simultaneous pursuit of differentiation and low cost, creating a leap in value for both the company and its customers, often associated with Blue Ocean Strategy. Important for developing strategies that can open up new markets and create significant competitive advantages.
Explainable AI (XAI) are AI systems that provide clear and understandable explanations for their decisions and actions. This transparency is crucial for building trust and confidence in AI applications across various domains.
The process of evaluating the impact and success of a feature after its release, based on predefined metrics and user feedback. Crucial for understanding the effectiveness of features and informing future development.
The level of awareness or popularity a product or brand has among consumers. Essential for understanding brand perception and guiding marketing and product design strategies to enhance visibility and user adoption.
A learning phenomenon where information is better retained when study sessions are spaced out over time rather than crammed in a short period. Crucial for designing educational tools and content that optimize long-term retention.
A metric that measures how engaged users are with a product, often based on usage frequency, feature adoption, and user feedback. Crucial for assessing user satisfaction and identifying areas for improvement in the product experience.
A dark pattern where additional costs are only revealed at the last step of the checkout process. It's essential to avoid this tactic and promote transparent pricing to build user trust.
A semi-fictional representation of an ideal customer based on market research and real data about existing customers. Essential for targeting design and marketing efforts to meet the needs and preferences of specific user groups.
Artificially generated data that mimics real data, used for training machine learning models. Crucial for training models when real data is scarce or sensitive.
A cognitive bias where people see patterns in random data. Important for designers to improve data interpretation and avoid false conclusions based on perceived random patterns.
The drive to perform an activity for its inherent satisfaction rather than for some separable consequence. Crucial for designing experiences that engage users through inherent enjoyment and interest.
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.
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.
The process of turning potential customers into paying customers, often measured by the conversion rate. Essential for understanding and optimizing the customer journey.
A planning method that starts with defining a desirable future and then works backwards to identify steps to achieve that future. Important for strategic planning and setting long-term goals in design and development.
Also known as Magical Number 7 +/- 2, a theory in cognitive psychology that states the average number of objects an individual can hold in working memory is about seven. Crucial for designing user interfaces that align with human cognitive limitations.
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 study of architectural concepts, including the principles and methodologies used in the design and construction of buildings and structures. Useful for understanding spatial design and applying architectural principles to digital interfaces.
A decision-making strategy that involves choosing an option that meets the minimum requirements rather than seeking the optimal solution, balancing effort and outcome. Important for designing user experiences that accommodate decision-making under constraints.
A strategic management template for developing new business models or documenting existing ones, detailing elements like value proposition, infrastructure, and customers. Important for understanding and designing business strategies that align with product and user experience goals.
A product development approach where teams start with the desired customer experience and work backwards to determine what needs to be built to achieve that outcome. Essential for ensuring that product development is aligned with customer needs and expectations.
A psychological phenomenon where individuals are perceived as more likable if they make a mistake, provided they are generally competent. Important for understanding human perception and leveraging relatability in marketing and leadership.
The practice of linking one page of a website to another page on the same website, improving navigation, user experience, and SEO. Essential for enhancing website structure, user engagement, and search engine optimization.
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 Gestalt principle stating that people will perceive and interpret ambiguous or complex images as the simplest form(s) possible. Important for understanding visual perception and designing intuitive user interfaces.
The accumulated consequences of poor design decisions, which can hinder future development and usability. Crucial for understanding and addressing the long-term impact of design choices.
The study of how people acquire knowledge, skills, and behaviors through experience, practice, and instruction. Useful for creating educational content and interactive tutorials that enhance user learning.
A cognitive bias that occurs when conclusions are drawn from a non-representative sample, focusing only on successful cases and ignoring failures. Crucial for making accurate assessments and designing systems that consider both successes and failures.
A method used in AI and machine learning to ensure prompts and inputs are designed to produce the desired outcomes. Essential for improving the accuracy and relevance of AI responses.
Critical Incident Technique (CIT) is a method used to gather and analyze specific incidents that significantly contribute to an activity or outcome. This method is important for identifying key factors that influence performance and user satisfaction.