The series of stages a product goes through from initial concept to market release, including planning, design, development, testing, and launch. Essential for understanding the full lifecycle of product creation and bringing products to market efficiently.
A deployment strategy that reduces downtime and risk by running two identical production environments, switching traffic between them. Crucial for ensuring seamless updates and minimizing disruptions in digital product deployment.
The principles and guidelines that govern the moral and ethical aspects of design, ensuring that designs are socially responsible and beneficial. Crucial for creating designs that are ethical, inclusive, and socially responsible.
AI as a Service (AIaaS) is a service model where AI tools and algorithms are provided over the internet by a third-party provider. Essential for making advanced AI capabilities accessible to businesses.
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 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 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 testing method where the internal structure of the system is not known to the tester, focusing solely on input and output. Essential for validating the functionality of digital products from an end-user perspective.
The degree to which the operations and decisions of an AI system are understandable and explainable to users. Crucial for building trust and ensuring ethical AI use.
A cognitive bias where people judge the likelihood of an event based on its relative size rather than absolute probability. Important for understanding user decision-making biases and designing systems that present information accurately.
A set of standards and guidelines used to ensure the integrity, security, and compliance of business processes and IT systems. Important for establishing robust governance and control mechanisms in digital product design and development.
A concept in transactional analysis that describes three different aspects of the self: Parent, Adult, and Child, each influencing behavior and communication. Important for designing communication strategies and interfaces that resonate with different user states.
The theory that people adjust their behavior in response to the perceived level of risk, often taking more risks when they feel more protected. Important for designing safety features and understanding behavior changes in response to risk perception.
A cognitive process that groups information into manageable units, making it easier to remember and process. Important for designing user interfaces that enhance usability and information retention.
A research method that involves observing subjects in their natural environment. Crucial for gathering authentic data and insights into real-world behaviors and interactions.
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.
A team structure within an organization focused on managing and integrating complex subsystems. Important for ensuring seamless integration and functionality of complex projects.
A comprehensive review of a brand's design assets and practices to ensure consistency and effectiveness. Important for maintaining a cohesive and effective brand identity.
A parameter that controls the randomness of AI-generated text, affecting creativity and coherence. Important for fine-tuning the behavior and output of AI models.
A machine learning-based search engine algorithm used by Google to help process search queries and provide more relevant results. Important for understanding modern SEO practices and how search engines interpret and rank web content.
A principle in lean management aimed at reducing non-value-added activities to improve efficiency. Important for optimizing processes and resource use.
The enhancement or diminishment of perception, cognition, or related performance as a result of exposure to a stimulus of greater or lesser value in the same dimension. Useful for designing interfaces that leverage contrasting elements to guide user attention and behavior.
A specific form of banner blindness where users ignore content placed in the right-hand rail of a web page. Important for optimizing web page layouts and placing critical information where it will be seen.
Software Development Life Cycle (SDLC) is a process for planning, creating, testing, and deploying an information system. Essential for managing the complexities of software development and ensuring project success.
The assessment of the strengths and weaknesses of current and potential competitors to identify competitive advantages and disadvantages. Essential for strategic planning and positioning within the market.
User Acceptance Testing (UAT) is the final phase of the software testing process where actual users test the software to ensure it meets their requirements. Crucial for validating that the software functions correctly in real-world scenarios before its release.
The ability to deliver products or services in the most cost-effective manner without sacrificing quality. Key to reducing costs and improving profitability.
The practice of promoting and defending the value of design within an organization or community. Crucial for ensuring that design considerations are prioritized and integrated into decision-making processes.
The process of training an AI model on a large dataset before fine-tuning it for a specific task. Crucial for building robust AI models that perform well on various tasks.
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.
A persuasion strategy that involves getting a person to agree to a small request to increase the likelihood of agreeing to a larger request later. Crucial for building user commitment and enhancing marketing and sales strategies.
The tendency for individuals to continue a behavior or endeavor as a result of previously invested resources (time, money, or effort) rather than future potential benefits. Important for understanding decision-making biases and designing systems that help users avoid irrational persistence.
Environmental signals that influence behavior and decision-making, such as signage, prompts, or notifications. Useful for designing environments and systems that effectively guide user behavior.
A hybrid Agile project management framework that combines elements of Scrum and Kanban to improve flexibility and workflow management. Useful for teams seeking to blend the structured approach of Scrum with the visual workflow of Kanban.
The systematic investigation of competitor activities, products, and strategies to gain insights and inform decision-making. Crucial for staying competitive and improving product and service offerings.
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.
An approach that applies Agile principles to IT operations, emphasizing iterative development, collaboration, and continuous improvement. Essential for enhancing flexibility, responsiveness, and collaboration in product design and development processes.
An ongoing process of learning and development that enables individuals and organizations to adapt to changing environments and requirements. Crucial for staying current with industry trends and improving skills and knowledge.
Project Management Professional (PMP) is a globally recognized certification for project managers, awarded by the Project Management Institute (PMI). Essential for validating project management expertise and enhancing career prospects.
Above the Line (ATL) refers to marketing activities carried out at a macro level to reach a large audience through mass media such as TV, radio, and print ads. Essential for building brand awareness and reaching a wide audience.
A group of stakeholders that regularly meet to discuss and guide the development and strategy of a product or product line. Crucial for ensuring diverse input and alignment on product strategy and decisions.
Business Intelligence (BI) encompasses technologies, applications, and practices for the collection, integration, analysis, and presentation of business information. Crucial for making data-driven decisions and improving business performance.
An Agile project management framework that uses iterative cycles, called sprints, to deliver incremental improvements and adapt to changing requirements. Crucial for managing projects in a flexible and iterative manner, ensuring continuous improvement and responsiveness.
The practice of optimizing individual web pages to rank higher and earn more relevant traffic in search engines, focusing on both the content and HTML source code. Crucial for improving the visibility and relevance of web content in search engine results.
The hardware and software environment used to deploy and manage applications and services. Essential for ensuring reliable and scalable application deployment.
A cognitive bias where individuals favor others who are perceived to be similar to themselves, affecting judgments and decision-making. Crucial for understanding biases in team dynamics and decision-making processes among designers.
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.
Work that is not performed in real-time, allowing team members to collaborate without needing to be online simultaneously. Crucial for increasing flexibility and productivity in remote and distributed teams.
A cognitive bias where people ignore the relevance of sample size in making judgments, often leading to erroneous conclusions. Crucial for designers to account for appropriate sample sizes in research and analysis.
An experimental design where different groups of participants are exposed to different conditions, allowing for comparison between groups. Important for understanding and applying different experimental designs in user research.
Actions, messages, or visuals that are consistent with the established brand identity and values. Essential for maintaining brand integrity and ensuring all communications align with brand standards.
The process of identifying, assessing, and controlling dependencies between tasks or projects to minimize risks and ensure smooth project execution. Crucial for effective project management and delivery.
A psychological phenomenon where repeated exposure to a stimulus leads to an increased preference for it. Useful for designing marketing and user engagement strategies that increase familiarity and preference.
A qualitative research method where a small group of people discuss a product, service, or concept to gather diverse insights and opinions. Important for gaining in-depth understanding of user perceptions and needs.
The distinct personality and style of a brand as expressed through its communication channels. Essential for creating a consistent and recognizable brand presence across all interactions.