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.
A prioritization framework used to assess and compare the value a feature will deliver to users against the complexity and cost of implementing it. Crucial for making informed decisions about feature prioritization and resource allocation.
The time it takes for a webpage to load and become interactive, impacting user experience and search engine rankings. Essential for improving user satisfaction and SEO performance.
A brainstorming technique where participants draw their ideas instead of writing them down. Important for stimulating creative thinking and visual problem-solving.
Responsible, Accountable, Consulted, and Informed (RACI) is a responsibility assignment framework that clarifies roles and responsibilities in a projec. Crucial for ensuring clear communication and accountability in project management.
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 process of exceeding customer expectations to create a positive emotional reaction. Important for building customer loyalty and enhancing brand reputation.
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.
An experimental design where subjects are paired based on certain characteristics, and then one is assigned to the treatment and the other to the control group. Important for reducing variability and improving the accuracy of experimental results.
The fundamental guidelines and practices that underpin effective change management, ensuring successful implementation of changes. Important for providing a structured approach to change management initiatives.
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.
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 product development methodology that emphasizes shaping work before starting it, fixing time and team size but leaving scope flexible to ensure high-quality outcomes. Crucial for managing product development efficiently and delivering high-quality results within constraints.
A framework suggesting there are two systems of thinking: System 1 (fast, automatic) and System 2 (slow, deliberate), influencing decision-making and behavior. Crucial for understanding how users process information and make decisions.
The mathematical study of waiting lines or queues. Useful for optimizing user flow and reducing wait times in user interfaces.
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.
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.
A cognitive bias where individuals believe that past random events affect the probabilities of future random events. Important for designers to understand user decision-making biases related to randomness.
The use of data, algorithms, and machine learning to recommend actions that can achieve desired outcomes. Essential for optimizing decision-making and implementing effective strategies.
The systematic approach to dealing with the transition or transformation of an organization's goals, processes, or technologies. Essential for managing and facilitating successful organizational changes.
The process of creating representations of how users will interact with a system, including the flow of interactions and the overall experience. Crucial for planning and optimizing user interactions and experience.
The interpretation of historical data to identify trends and patterns. Important for understanding past performance and informing future decision-making.
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 professional responsible for promoting a product and driving its adoption in the market, through strategies like market research, positioning, and communication. Crucial for ensuring that products reach their target audience and achieve commercial success.
The process of handling changes to software, hardware, or documentation in a systematic way. Critical for maintaining consistency and ensuring system integrity.
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 cognitive bias where a person's subjective confidence in their judgments is greater than their objective accuracy. Crucial for understanding user decision-making and designing systems that account for overconfidence.
Business Process Modeling Language (BPML) is a language used for modeling business processes, enabling the design and implementation of process-based applications. Important for defining complex business processes and ensuring their effective implementation in digital products.
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.
The study of cooking techniques, ingredients, and the cultural significance of food, providing insights into creativity and innovation in other fields. Useful for drawing parallels between culinary arts and design, fostering creativity and innovation.
The set of shared values, practices, and goals that characterize a startup company. Important for fostering innovation, agility, and a collaborative environment within product design teams.
A phenomenon where individuals' preferences between options change when the options are presented in different ways or contexts. Important for understanding and designing around inconsistencies in user choices.
The effort required for users to complete a task or interaction within a system. Essential for optimizing usability and minimizing user effort.
A usability testing method where participants verbalize their thoughts while interacting with a product. Essential for understanding user thought processes and identifying usability issues.
Goals, Ideas, Steps, and Tasks (GIST) is an agile planning technique to break down projects into manageable parts. Essential for organizing and executing agile projects effectively.
A range of values, derived from sample statistics, that is likely to contain the value of an unknown population parameter. Essential for making inferences about population parameters and understanding the precision of estimates in product design analysis.
A design process model that outlines four phases: Discover, Define, Develop, and Deliver, promoting both divergent and convergent thinking. Crucial for structuring the design process and fostering both creativity and precision.
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.
The strategic objectives that an organization aims to achieve, guiding its operations and decision-making processes. Important for aligning digital product development with the broader mission and objectives of the organization.
A cognitive bias where individuals with low ability at a task overestimate their ability, while experts underestimate their competence. Crucial for designers to create educational content and user interfaces that accommodate varying levels of user expertise.
A research method that focuses on understanding phenomena through in-depth exploration of human behavior, opinions, and experiences, often using interviews or observations. Essential for gaining deep insights into user needs and behaviors to inform design and development.
Conversational User Interface (CUI) is a user interface designed to communicate with users in a conversational manner, often using natural language processing and AI. Essential for creating intuitive and engaging user experiences in digital products.
A brief daily meeting in Agile project management where team members share updates on their progress, plans for the day, and any obstacles they face. Essential for maintaining communication, transparency, and coordination within Agile teams.
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 design approach that uses data, algorithms, and predictive analytics to anticipate user needs and behaviors, creating more personalized and effective experiences. Crucial for enhancing user experience through anticipation and personalization.
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.
The discrepancy between what people intend to do and what they actually do. Crucial for designing interventions that bridge the gap between user intentions and actions.
Quantitative data that provides broad, numerical insights but often lacks the contextual depth that thick data provides. Useful for capturing high-level trends and patterns, but should be complemented with thick data to gain a deeper understanding of user behavior and motivations.
The process of defining and creating algorithms to solve problems and perform tasks efficiently. Fundamental for software development and creating efficient solutions.
Garbage In-Garbage Out (GIGO) is a principle stating that the quality of output is determined by the quality of the input, especially in computing and data processing. Crucial for ensuring accurate and reliable data inputs in design and decision-making processes.
Replacing one UI component with another, often used in adaptive or dynamic interfaces. Crucial for maintaining flexibility and adaptability in UI design.
The process of attracting and converting strangers and prospects into someone who has indicated interest in your company's product or service. Essential for building a sales pipeline and driving business growth.
Define, Measure, Analyze, Improve, and Control (DMAIC) is a data-driven improvement cycle used in Six Sigma. Crucial for systematically improving processes and ensuring quality in digital product development.
A simple description of a feature from the perspective of the user, typically used in Agile development to capture requirements and guide development. Crucial for ensuring that development efforts are aligned with user needs and priorities.
A cognitive bias that causes people to believe they are less likely to experience negative events and more likely to experience positive events than others. Crucial for understanding user risk perception and designing systems that account for unrealistic optimism.
A theoretical framework in economics that assumes individuals act rationally and seek to maximize utility, used to predict economic behavior and outcomes. Important for understanding traditional economic theories and designing systems that account for rational decision-making.
A cognitive bias where individuals tend to focus on positive information or events more than negative ones, especially as they age. Useful for understanding user preferences and designing experiences that emphasize positive outcomes.
The process of designing, developing, and managing tools and techniques for measuring performance and collecting data. Essential for monitoring and improving system performance and user experience.
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.
Qualitative data that provides insights into the context and human aspects behind quantitative data. Crucial for gaining deep insights into user behaviors and motivations.