The process of identifying and assessing the influence and interest of various stakeholders in a project, to prioritize engagement and communication strategies. Crucial for effectively managing stakeholder relationships and ensuring project success.
Retrieval-Augmented Generation (RAG) is an AI approach that combines retrieval of relevant documents with generative models to produce accurate and contextually relevant responses. Essential for improving the accuracy and reliability of AI-generated content.
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.
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.
A statistical phenomenon where a large number of hypotheses are tested, increasing the chance of a rare event being observed. Crucial for understanding and avoiding false positives in data analysis.
A phenomenon where users consciously or subconsciously ignore banner-like information or advertisements on websites. Important for designing effective web content that captures user attention.
A design principle that involves repeating elements to create consistency and unity, making the design more cohesive and understandable. Crucial for creating visually appealing and user-friendly designs that enhance readability and usability.
The minimum difference in stimulus intensity that a person can detect, also known as the just noticeable difference (JND). Crucial for designing user interfaces that are sensitive to changes in user input and feedback.
The perceived and actual properties of an object that determine how it could be used. Essential for designers to create intuitive and usable interfaces.
A logical fallacy in which it is assumed that qualities of one thing are inherently qualities of another, due to an irrelevant association. Important for avoiding incorrect associations in user research and data interpretation.
The process by which search engines organize and store web content to facilitate fast and accurate information retrieval. Crucial for understanding how search engines work and ensuring that web content is accessible and searchable.
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.
Generative Pre-trained Transformer (GPT) is a type of AI model that uses deep learning to generate human-like text based on given input. This technology is essential for automating content creation and enhancing interactive experiences.
A research method that involves repeated observations of the same variables over a period of time. Crucial for understanding changes and developments over time.
The reduction in sales of a company's existing products due to the introduction of a new product by the same company. Crucial for understanding product strategy and market impacts of new product introductions.
The study of mental processes such as perception, memory, reasoning, and problem-solving. Important for designing interfaces that align with how users process information and make decisions.
The tendency for people to believe that others are telling the truth, leading to a general assumption of honesty in communication. Important for understanding communication dynamics and designing systems that account for this bias.
A concise statement of what the team aims to achieve during a sprint, providing direction and a shared understanding of the sprint's purpose. Crucial for ensuring team alignment and focus on the most important outcomes during a sprint.
The principle that the more a metric is used to make decisions, the more it will be subject to corruption and distort the processes it is intended to monitor. Important for understanding the limitations and potential distortions of metrics in design and evaluation.
A cognitive bias where people perceive an outcome as certain while it is actually uncertain, based on how information is presented. Crucial for understanding and mitigating biased user decision-making.
The study of the principles and techniques of art, including visual composition, aesthetics, and the role of art in society. Important for understanding visual design principles and enhancing the aesthetic quality of digital products.
A cognitive bias where people prefer the option that seems to eliminate risk entirely, even if another option offers a greater overall benefit. Important for understanding decision-making and designing risk communication for users.
The cognitive bias where people treat a set of items as more significant when they are perceived as a cohesive group. Important for understanding user perception and decision-making.
The tendency for people to prefer things that are easy to think about and understand. Important for designing user interfaces that are intuitive and easy to use.
The application of neuroscience principles to marketing, aiming to understand consumer behavior and improve marketing strategies. Important for creating more effective and engaging marketing campaigns.
A theory of motivation that explains behavior as driven by a desire for rewards or incentives. Crucial for designing systems that effectively motivate and engage users.
An interdisciplinary study of systems, examining the complex interactions and relationships between components within a whole. Crucial for understanding and designing complex, interconnected systems.
The study of the principles and practices that inform and guide the design process. Essential for understanding the foundational concepts that underpin effective design.
A phenomenon where people fail to recognize a repeated item in a visual sequence, impacting information processing and perception. Important for understanding visual perception and designing interfaces that avoid repetitive confusion.
The study of how the brain perceives and responds to art and design, exploring the neural basis for aesthetic experiences. Important for understanding the neurological underpinnings of aesthetic preferences and enhancing design impact.
The study of the nature of beauty, art, and taste and the creation and appreciation of beauty. Essential for creating visually appealing and engaging user interfaces.
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.
The organization of content in a way that prioritizes and structures information according to its importance. Crucial for ensuring that users can easily find and understand information.
The tendency for people to defer purchasing decisions to a later time, often leading to procrastination. Important for understanding consumer behavior and optimizing sales strategies.
The psychological discomfort experienced when parting with money, influenced by the payment method and context. Crucial for understanding spending behavior and designing payment systems that mitigate discomfort.
A behavioral economic theory that describes how people choose between probabilistic alternatives that involve risk, where the probabilities of outcomes are known. Crucial for understanding decision-making under risk and designing systems that align with user behavior.
A principle often used in behavioral economics that suggests people evaluate options based on relative comparisons rather than absolute values. Important for understanding decision-making and designing choices that highlight beneficial comparisons.
The dynamic system of content creation, distribution, and interaction within an environment. Important for understanding how content flows and interacts within a system.
The ease with which users can quickly find and understand information on a webpage or document, often enhanced by design elements like headings, bullet points, and short paragraphs. Crucial for improving user experience and ensuring that content is accessible and easy to navigate.
An algorithm used by Google Search to rank web pages in their search engine results, based on the number and quality of links to a page. Essential for understanding search engine optimization and improving website visibility.
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.
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.
A cognitive bias where people allow themselves to indulge after doing something positive, believing they have earned it. Important for understanding user behavior and designing systems that account for self-regulation.
A risk management model that illustrates how multiple layers of defense (like slices of Swiss cheese) can prevent failures, despite each layer having its own weaknesses. Crucial for understanding and mitigating risks in complex systems.
The practice of keeping multiple web pages open in browser tabs for future reference or action. Important for understanding user behavior and designing for multi-tab usage.
The loss of customers over a specific period, also known as customer churn. Important for understanding and addressing customer retention issues.
Business-to-Government (B2G), a business model where products or services are sold to governments. Important for understanding and navigating public sector markets.
The origins of visitors to a website, such as search engines, direct visits, social media, and referrals from other sites. Crucial for understanding and optimizing website traffic and marketing strategies.
The tendency to judge the strength of arguments based on the believability of their conclusions rather than the logical strength of the arguments. Important for understanding cognitive biases that affect decision-making and user perceptions.
A research process used to identify and understand the underlying needs of users to inform the design of products and services. Essential for creating user-centered designs that address real user needs.
A sales technique used to uncover a prospect's pain points through a series of targeted questions. Important for understanding customer needs and driving effective sales conversations.
A cognitive bias where someone mistakenly assumes that others have the same background knowledge they do. Essential for designers to ensure communications and products are clear and accessible to all users, regardless of their background knowledge.
Perceivable, Operable, Understandable, and Robust (POUR) are the four main principles of web accessibility. These principles are essential for creating inclusive digital experiences that can be accessed and used by people with a wide range of abilities and disabilities.
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 tendency to avoid making decisions that might lead to regret, influencing risk-taking and decision-making behaviors. Crucial for understanding decision-making processes and designing systems that minimize regret.
The tendency for individuals to put in less effort when working in a group compared to when working alone, due to reduced accountability. Crucial for understanding group dynamics and designing systems that ensure individual accountability.
A logical fallacy where people assume that specific conditions are more probable than a single general one. Important for understanding and addressing cognitive biases in user behavior.
A cognitive bias where individuals evaluate the value of bundled items differently than they would if the items were evaluated separately. Important for understanding user behavior and designing effective product bundles and pricing strategies.
The study of cultural norms, values, and practices and their influence on human behavior. Useful for designing products that are culturally sensitive and relevant.
A cognitive bias where individuals overestimate how well their thoughts, feelings, and emotions are understood by others. Crucial for designing communication and user interfaces that account for and mitigate this bias.