An approach to design that considers the entire user journey and all touchpoints, ensuring a seamless and cohesive experience. Crucial for creating integrated and satisfying user experiences across multiple channels and interactions.
The experience of noticing something for the first time and then frequently encountering it shortly after, also known as frequency illusion. Important for understanding user perception and cognitive biases in information processing.
The cues and hints that users follow to find information online, based on perceived relevance and usefulness. Important for designing intuitive navigation and content structures that align with user expectations.
A statistical distribution where most occurrences take place near the mean, and fewer occurrences happen as you move further from the mean, forming a bell curve. Crucial for data analysis and understanding variability in user behavior and responses.
The process of tracking and managing potential customers from initial contact through to sale. Important for ensuring that leads are properly engaged and converted.
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.
Conversion Rate Optimization (CRO) is the systematic process of increasing the percentage of website visitors who take a desired action, such as making a purchase or filling out a form. Crucial for improving user engagement and achieving business goals.
A reading pattern where users scan a page in horizontal stripes, focusing on headings and subheadings. Important for structuring content in a way that facilitates quick scanning and information retrieval.
The tendency to attribute positive qualities to one's own choices and downplay the negatives, enhancing post-decision satisfaction. Useful for understanding user satisfaction and designing experiences that reinforce positive decision outcomes.
A cognitive bias where people place too much importance on one aspect of an event, causing errors in judgment. Important for understanding decision-making and designing interfaces that provide balanced information.
Model-Based Systems Engineering (MBSE) is a methodology that uses visual modeling to support system requirements, design, analysis, and validation activities throughout the development lifecycle. Essential for managing complex systems, improving communication among stakeholders, and enhancing the overall quality and efficiency of systems engineering processes.
The practice of identifying and analyzing search terms that users enter into search engines, used to inform content strategy and SEO. Essential for understanding user intent and optimizing content to meet search demand.
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.
Also known as the 68-95-99.7 Rule, it states that for a normal distribution, nearly all data will fall within three standard deviations of the mean. Important for understanding the distribution of data and making predictions about data behavior in digital product design.
AI systems that can dynamically adjust their behavior based on new data or changes in the environment. Important for developing systems that can respond to real-time changes and improve over time.
A set of fundamental principles and guidelines that inform and shape marketing practices. Crucial for maintaining consistency and ensuring high-quality marketing outcomes.
Numeronym for the word "Personalization" (P + 13 letters + N), tailoring a product, service, or experience to meet the individual preferences, needs, or behaviors of each user. Important for enhancing user satisfaction and engagement.
A practice of performing testing activities in the production environment to monitor and validate the behavior and performance of software in real-world conditions. Crucial for ensuring the stability, reliability, and user satisfaction of digital products in a live environment.
Minimum Viable Product (MVP) is a version of a product with just enough features to be usable by early customers who can then provide feedback for future product development. Essential for validating product ideas quickly and cost-effectively, allowing teams to learn about customer needs without fully developing the product.
A cognitive bias where people overestimate the importance of information that is readily available. Essential for designers to understand and mitigate how easily accessible information can disproportionately influence decisions.
The tendency to overestimate the duration or intensity of the emotional impact of future events. Important for understanding user expectations and satisfaction.
Minimum Viable Feature (MVF) is the smallest possible version of a feature that delivers value to users and allows for meaningful feedback collection. Crucial for rapid iteration in product development, enabling teams to validate ideas quickly and efficiently while minimizing resource investment.
Minimum Viable Experience (MVE) is the simplest version of a product that delivers a complete and satisfying user experience while meeting core user needs. Essential for rapidly validating product concepts and user experience designs while ensuring that even early versions of a product provide value and a positive impression to users.
A cognitive bias where people rely too heavily on their own perspective and experiences when making decisions. Important for designers to recognize and mitigate their own perspectives influencing design decisions.
A phenomenon where group members make decisions that are more extreme than the initial inclination of its members due to group discussions and interactions. Crucial for understanding and mitigating the risks of extreme decision-making in group settings.
The practice of measuring and analyzing data about digital product adoption, usage, and performance to inform business decisions. Crucial for making data-driven decisions that improve product performance and user satisfaction.
A common pattern of eye movement where users scan web content in an "F" shape, focusing on the top and left side of the page. Crucial for designing web content that aligns with natural reading patterns to improve engagement.
An approach that places the user's needs, preferences, and behaviors at the forefront of all design and development activities. Important for fostering a design culture that prioritizes user satisfaction and engagement.
The process of phasing out or retiring a product or feature that is no longer viable or needed. Important for managing the lifecycle of digital products and ensuring resources are allocated to more valuable initiatives.
A tendency for respondents to answer questions in a manner that is not truthful or accurate, often influenced by social desirability or survey design. Important for understanding and mitigating biases in survey and research data.
The complete set of experiences that customers go through when interacting with a company, from initial contact to post-purchase. Essential for understanding and optimizing each touchpoint in the customer lifecycle.
Large Language Model (LLM) is an advanced artificial intelligence system trained on vast amounts of text data to understand and generate human-like text. Essential for natural language processing tasks, content generation, and enhancing human-computer interactions across various applications in product design and development.
Principle of Least Astonishment (POLA) is a design guideline stating that interfaces should behave in a way that users expect to avoid confusion. Crucial for enhancing user experience and reducing the learning curve in digital products.
Organizational Change Management (OCM) is the process of managing the people side of change to achieve desired business outcomes. Essential for ensuring successful implementation of changes within an organization.
The potential for a project or solution to be economically sustainable and profitable. Important for ensuring that design and development efforts align with business goals and market demands.
A dark pattern where a process is made more difficult than it needs to be to discourage certain behavior. Recognizing the harm of this practice is important to design straightforward user processes.
A change management strategy that aligns people, process, and technology initiatives to improve performance and achieve business goals. Crucial for adapting to market changes and ensuring the organization's long-term success.
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 statistical measure that quantifies the amount of variation or dispersion of a set of data values. Essential for understanding data spread and variability, which helps in making informed decisions in product design and analysis.
Activities that give the appearance of innovation but do not produce tangible results. Important for recognizing and avoiding ineffective innovation efforts.
The introduction of a new product to the market, involving planning, marketing, and distribution efforts to maximize its initial impact. Essential for ensuring a successful market entry and driving early adoption and sales.
The process of self-examination and adaptation in AI systems, where models evaluate and improve their own outputs or behaviors based on feedback. Crucial for enhancing the performance and reliability of AI-driven design solutions by fostering continuous learning and improvement.
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.
The ability to use learned knowledge and experience, often increasing with age and accumulated learning. Important for understanding how expertise and knowledge accumulation impact design and decision-making.
A cognitive bias where individuals underestimate their own abilities and performance relative to others, believing they are worse than average. Important for understanding self-perception biases among designers and designing systems that support accurate self-assessment.
A product that significantly changes the market or industry by introducing innovative features or a new business model. Important for understanding market dynamics and identifying opportunities for innovation.
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 practice of selling additional products or services to an existing customer. Essential for increasing revenue and enhancing customer value.
A pricing strategy that offers a middle option with substantial value at a moderate price, often perceived as the best deal by users. Useful for driving sales by presenting a balanced choice that appears more attractive relative to higher and lower-priced options.
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.
The process of making tools, methods, and knowledge accessible to a broader range of people within an organization or community, allowing non-specialists to participate and contribute meaningfully. Important for fostering inclusivity, enhancing collaboration, and leveraging diverse perspectives to improve outcomes across various disciplines.
The process of tailoring a product or experience to meet the individual needs and preferences of users. Essential for enhancing user engagement and satisfaction by delivering relevant experiences.
Capability Maturity Model (CMM) is a framework for improving and optimizing processes within an organization. Essential for assessing and enhancing the maturity and efficiency of processes in product design and development.
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.
A fictional character created to represent a user type that might use a site, brand, or product in a similar way, guiding design decisions. Essential for user-centered design, ensuring that products meet the needs of target users.
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.
Top of Funnel (ToFu) is the initial stage in the sales funnel where potential customers become aware of a product or service. Crucial for generating leads and building brand awareness.
A phenomenon where users perceive greater value in a service or product if they believe more effort was involved in its creation or delivery. Important for enhancing perceived value and user satisfaction.
Web Accessibility Initiative รป Accessible Rich Internet Applications (WAI-ARIA) is a set of guidelines for making web content and applications accessible. Essential for ensuring web accessibility and inclusivity for people with disabilities.
A psychological phenomenon where people develop a preference for things simply because they are familiar with them. Crucial for designing user experiences that leverage familiarity to increase user comfort and satisfaction.