BRE
Business Rules Engine (BRE) is a software system that executes one or more business rules in a runtime production environment. Crucial for automating decision-making processes and ensuring consistency and compliance in digital products.
Business Rules Engine (BRE) is a software system that executes one or more business rules in a runtime production environment. Crucial for automating decision-making processes and ensuring consistency and compliance in digital products.
A role focused on driving user acquisition, engagement, and retention through data-driven strategies and experiments. Essential for scaling products and optimizing user growth.
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 product or service produced by one company that other companies rebrand to make it appear as if they had made it. Crucial for understanding business strategies that allow for customization and brand differentiation.
SAFe is a framework designed to scale agile practices across large organizations by integrating agile and lean principles. It is widely used but criticized for its rigidity, bureaucratic structure, and potential to stifle true agile culture.
A user-centered approach to problem-solving that involves empathy, ideation, prototyping, and testing. Crucial for developing innovative and effective solutions that meet user needs.
In AI and machine learning, a prompt that specifies what should be avoided or excluded in the generated output, guiding the system to produce more accurate and relevant results. Crucial for refining AI-generated content by providing clear instructions on undesired elements, improving output quality and relevance.
A technique used in agile project management where tasks are estimated using the Fibonacci sequence to reflect the uncertainty and complexity of work. Essential for accurate and realistic task estimation in agile methodologies.
The process of developing relationships with prospects through targeted communications and marketing efforts. Crucial for guiding prospects through the sales funnel and increasing conversion rates.
A learning method that involves teaching a concept to a novice to identify gaps in understanding and reinforce knowledge. Important for enhancing comprehension and retention of complex subjects.
The process by which search engines systematically browse the internet to index and retrieve information from websites. Essential for understanding how search engines discover and index web content.
The practice of preserving a user's data and settings between sessions in an application. Crucial for enhancing user experience by providing continuity and personalization.
The spread and pattern of data values in a dataset, often visualized through graphs or statistical measures. Critical for understanding the characteristics of data and informing appropriate analysis techniques in digital product development.
Research conducted to assess the effectiveness, usability, and impact of a design or product. Essential for validating design decisions and improving user experiences.
A theoretical concept in economics that portrays humans as rational and self-interested agents who aim to maximize their utility. Important for understanding economic decision-making and designing systems that align with rational behavior.
The tendency for individuals to give positive responses or feedback out of politeness, regardless of their true feelings. Crucial for obtaining honest and accurate user feedback.
An automated program used by search engines to browse the internet and index web pages, aiding in the retrieval of relevant information during a search query. Crucial for understanding how search engines discover and index web content.
A cognitive bias where people attribute group behavior to the characteristics of the group members rather than the situation. Crucial for understanding team dynamics and avoiding misattribution in collaborative settings.
The preferred version of a web page that search engines should index, used to avoid duplicate content issues and improve SEO. Essential for managing SEO and ensuring the correct indexing of web pages.
Needs and expectations that are not explicitly stated by users but are inferred from their behavior and context. Crucial for identifying and addressing unarticulated user needs.
The belief in one's ability to succeed in specific situations or accomplish a task, influencing motivation and behavior. Crucial for designing systems that enhance user confidence and encourage goal achievement.
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.
Numeronym for the word "Multilingualization" (M + 17 letters + N), enabling a product or system to support multiple languages, allowing users to switch between languages as needed. Crucial for ensuring smooth adaptation to various languages.
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.
Quantitative measures used to track and assess the performance and success of a product, such as usage rates, customer satisfaction, and revenue. Essential for making data-driven decisions to improve product performance and achieve business goals.
A method of testing two identical versions of a webpage or app to ensure the accuracy of the testing tool. Important for validating the effectiveness of A/B testing tools and processes.
The process of comparing design metrics to historical performance, competitive standards, or industry best practices to identify areas for improvement. Crucial for measuring progress, improving practice maturity, and evaluating competitive differentiation.
A strategic research process that involves evaluating competitors' products, services, and market positions to identify opportunities and threats. Essential for informing product strategy, differentiating offerings, and gaining a competitive advantage in the market.
The practice of drawing inspiration from sources outside of one's field to generate creative ideas. Useful for fostering creativity and innovation in design and product development.
A symbol, logo, or trademark used to identify a brand. Essential for establishing brand identity and ensuring recognition.
AI systems designed to communicate with users through natural language, enabling human-like interactions. Crucial for developing advanced customer service and user engagement solutions.
A behavioral economics model that explains decision-making as a conflict between a present-oriented "doer" and a future-oriented "planner". Useful for understanding user decision-making and designing interventions that balance short-term and long-term goals.
The process of guiding new users through the initial stages of using a product or service, helping them become familiar with its features and benefits. Essential for enhancing user retention and satisfaction by ensuring a smooth introduction to the product.
The tendency to overestimate how much our future preferences and behaviors will align with our current preferences and behaviors. Important for understanding user behavior and designing experiences that account for changes over time.
A self-reinforcing process in which a collective belief gains more plausibility through its increasing repetition in public discourse. Important for understanding how information spreads and influences public perception.
The concept of providing flexible and adaptive user interactions based on user input and behavior. Crucial for creating responsive and personalized user experiences.
A holistic approach to analysis that focuses on the way that a system's constituent parts interrelate and how systems work over time and within the context of larger systems. Essential for solving complex problems and designing systems that account for interdependencies and dynamics.
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 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 market space that is already crowded with competition, where companies fight for market share, leading to intense rivalry and lower profitability. Important for understanding competitive dynamics and market saturation in strategic planning.
A cognitive phenomenon where people are more likely to pursue goals or change behavior following a temporal landmark (e.g., new year, birthday). Useful for designing interventions and features that leverage these moments to encourage positive behavior.
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.
A cohesive system of visual and interaction design principles and guidelines that ensure consistency and coherence across a product or brand's interfaces and experiences. Essential for creating a unified and recognizable user experience, ensuring consistency, usability, and brand identity across all platforms and touchpoints.
A marketing concept that describes brands that inspire loyalty beyond reason, creating an emotional connection with consumers. Crucial for building strong brand loyalty and emotional engagement.
A design principle that ensures a system continues to function at a reduced level rather than completely failing when some part of it goes wrong. Crucial for enhancing system reliability and user experience in adverse conditions.
The practice of protecting systems, networks, and programs from digital attacks, unauthorized access, and data breaches. Essential for safeguarding sensitive information, maintaining user trust, and ensuring the integrity and functionality of digital products and services.
The hypothesis that safety measures may lead to behavioral changes that offset the benefits of the measures, potentially leading to risk compensation. Crucial for understanding risk behavior and designing systems that account for compensatory behaviors.
Numeronym for the word "Canonicalization" (C + 14 letters + N), converting data to a standard, normalized form to ensure consistency and eliminate ambiguities, often used in URLs to avoid duplicate content issues in SEO. Important for ensuring consistency and reducing redundancy.
Knowledge Organization System (KOS) refers to a structured framework for organizing, managing, and retrieving information within a specific domain or across multiple domains. Essential for improving information findability, enhancing semantic interoperability, and supporting effective knowledge management in digital environments.
Site Reliability Engineering (SRE) is a discipline that incorporates aspects of software engineering and applies them to infrastructure and operations problems to create scalable and highly reliable software systems. Crucial for maintaining the reliability and efficiency of complex software systems.
The process of enabling users to take control of their interactions with a product or system, enhancing their confidence and satisfaction. Crucial for designing systems that provide users with the tools and information they need to make informed decisions.
An overarching idea or theme that guides the design process, providing direction and coherence to the final product. Essential for ensuring that all design elements align with a central vision and purpose.
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 approach where information is processed at a surface level, focusing on basic features rather than deeper meaning, often leading to poorer memory retention. Important for designing educational and informational content that encourages deeper processing and understanding.
Volatility, Uncertainty, Complexity, and Ambiguity (VUCA) is an acronym for describing the challenging conditions of the modern world. Important for understanding and navigating dynamic and unpredictable environments.
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.
A collection of design patterns that provides solutions to common design problems. Useful for standardizing design solutions and promoting best practices across projects.
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.
Strengths, Weaknesses, Opportunities, and Threats (SWOT) is a strategic planning tool that is applied to a business or project. Essential for strategic planning and decision-making.
The systematic process of capturing, evaluating, and implementing ideas to drive innovation, reflecting a collective commitment to continuous improvement and product excellence. Essential for harnessing team creativity and maintaining the entrepreneurial spirit that characterizes successful product development.