Social, Technological, Economic, Environmental, Political, Legal, and Ethical (STEEPLE) is an analysis tool that examines the factors influencing an organization. Crucial for comprehensive strategic planning and risk management in product design.
Large-Scale Scrum (LeSS) is a framework for scaling agile product development to multiple teams working on a single product. It provides a minimalist, large-scale agile approach that maintains the simplicity and effectiveness of Scrum while addressing the challenges of coordination and integration in multi-team environments.
A cognitive bias that causes people to overestimate the likelihood of negative outcomes. Important for understanding user risk perception and designing systems that address irrational pessimism.
Responsive Web Design (RWD) is an approach to web design that makes web pages render well on a variety of devices and window or screen sizes. Essential for creating flexible, adaptive web experiences that maintain functionality and aesthetics across different platforms and devices.
A metaphor for a balanced approach to product development, considering three core aspects: business viability, technical feasibility, and user desirability. Crucial for ensuring comprehensive and balanced product decisions.
A phenomenon where the success or failure of a design or business outcome is influenced by external factors beyond the control of the decision-makers, akin to serendipity. Important for recognizing and accounting for external influences in performance evaluations to ensure fair assessments and informed decisions.
The condition in which two or more versions of a product or system offer the same features and functionalities, ensuring consistency and uniformity across different platforms or updates. Important for providing a consistent user experience, reducing confusion, and ensuring all users have access to the same capabilities regardless of the platform they use.
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.
Customer Effort Score (CES) is a metric that measures how much effort customers have to put in to interact with a product or service. Crucial for identifying friction points and improving user experience in digital products.
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.
Metrics that may look impressive but do not provide meaningful insights into the success or performance of a product or business, such as total page views or social media likes. Important for distinguishing between metrics that drive real business value and those that do not.
The application of behavioral science principles to design products that influence user behavior in a desired way. Crucial for creating products that effectively guide user behavior and improve outcomes.
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.
Reasons to Believe (RTB) is a marketing concept that refers to the evidence or arguments that support a product's claims and persuade consumers of its benefits. Essential for building trust and credibility with customers.
A statistical technique that uses random sampling and statistical modeling to estimate mathematical functions and simulate systems. Useful for risk assessment, decision-making, and performance optimization in digital product design.
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.
The practice of quickly testing and iterating on ideas to validate assumptions and learn from user feedback in a short time frame. Essential for agile development and making data-driven decisions efficiently.
A phenomenon where people are more likely to remember information when they are in the same state of consciousness as when they learned it. Important for understanding how context affects memory recall and designing experiences that facilitate better retention.
Return on Investment (ROI) is a performance measure used to evaluate the efficiency or profitability of an investment or compare the efficiency of different investments. Crucial for assessing the financial effectiveness of business decisions, projects, or initiatives.
The tendency for people to pay more attention to items placed in the center of a visual field. Crucial for designing layouts that maximize visibility and impact of key elements.
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 clear and concise list of criteria that a product or task must meet to be considered complete, ensuring alignment and understanding within a team. Essential for maintaining quality and consistency in agile project management.
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.
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.
Zone of Proximal Development (ZPD) is a concept in educational psychology that describes the difference between what a learner can do independently and what they can achieve with guidance and support. Crucial for designing effective educational experiences and scaffolding that promote optimal learning and skill development.
A dark pattern where it's easy to get into a situation but hard to get out of it, such as signing up for a service but finding it difficult to cancel. Awareness of this tactic is crucial to design fair user experiences with straightforward entry and exit points.
Research focused on understanding and improving information architecture (IA), ensuring that information is logically and intuitively organized for users. Crucial for optimizing the organization and accessibility of information.
The phenomenon where taking a test on material improves long-term retention of that material more than additional study sessions. Crucial for designing educational tools and methods that enhance learning and retention.
An analysis that assesses the practicality and potential success of a proposed project or system. Crucial for determining the viability and planning of new initiatives.
The study of how people make choices about what and how much to do at various points in time, often involving trade-offs between costs and benefits occurring at different times. Crucial for designing systems that account for delayed gratification and long-term planning.
A programming paradigm that uses objects and classes to structure software design, promoting reusability and scalability. Crucial for developing maintainable and scalable software systems.
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.
An environment used for testing software to identify issues and ensure quality before production deployment. Important for detecting and fixing bugs to ensure the software's reliability and performance.
The risk that the product cannot be built as envisioned due to technical limitations, resource constraints, or other practical challenges. Important for confirming that the product can be realistically developed and deployed with the available technology and resources.
A professional responsible for the creation and development of products, ensuring they meet user needs and are visually appealing and functional. Important for translating user needs and business goals into tangible product solutions.
Case-Based Reasoning (CBR) is an AI method that solves new problems based on the solutions of similar past problems. This approach is essential for developing intelligent systems that learn from past experiences to improve problem-solving capabilities.
A visual technique used in Agile development to arrange user stories in a way that helps teams understand the user journey and prioritize work effectively. Crucial for ensuring that development efforts are aligned with user needs and priorities throughout the project.
Rapid Application Development (RAD) is a software development methodology that emphasizes quick prototyping and iterative delivery. Essential for reducing development time and adapting to changing requirements.
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.
A cognitive bias where people disproportionately prefer smaller, immediate rewards over larger, later rewards. Important for understanding and designing around user decision-making and reward structures.
The effort required for users to complete a task or interaction within a system. Essential for optimizing usability and minimizing user effort.
Node Package Manager (NPM) is a package manager for JavaScript, enabling developers to share and reuse code modules in their projects. Crucial for managing dependencies and streamlining development workflows in JavaScript applications.
A phenomenon where people perceive an item as more valuable when it is free, leading to an increased likelihood of choosing the free item over a discounted one. Important for understanding consumer behavior and designing effective marketing strategies.
Cost Per Click (CPC) is an online advertising model where the advertiser pays each time a user clicks on their ad. This model is crucial for measuring and optimizing the effectiveness of online advertising campaigns.
A memory aid that helps individuals recall information through associations, patterns, or acronyms. Important for designing educational content and interfaces that enhance memory retention.
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.
The use of AI and advanced analytics to divide users into meaningful segments based on behavior and characteristics. Crucial for personalized marketing and improving user experience.
The process of determining which tasks should be performed by humans and which by machines in a system. Essential for optimizing system efficiency and usability.
A research method that focuses on collecting and analyzing numerical data to identify patterns, relationships, and trends, often using surveys or experiments. Essential for making data-driven decisions and validating hypotheses with statistical evidence.
A psychological model that outlines the stages individuals go through to change behavior, including precontemplation, contemplation, preparation, action, and maintenance. Crucial for designing interventions and experiences that support users at different stages of behavior change.
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.
A logical fallacy that occurs when one assumes that what is true for a part is also true for the whole. Important for avoiding incorrect assumptions in design and decision-making.
A cognitive bias where new evidence or knowledge is automatically rejected because it contradicts established norms or beliefs. Important for recognizing resistance to change and designing strategies to encourage openness to new ideas among designers.
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.