Backcasting
A planning method that starts with defining a desirable future and then works backwards to identify steps to achieve that future. Important for strategic planning and setting long-term goals in design and development.
A planning method that starts with defining a desirable future and then works backwards to identify steps to achieve that future. Important for strategic planning and setting long-term goals in design and development.
A time management tool that helps prioritize tasks based on their urgency and importance, dividing them into four quadrants. Essential for designing productivity tools and strategies.
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 practice of performing testing activities earlier in the software development lifecycle to identify and address issues sooner. Essential for improving software quality, reducing defects, and accelerating development cycles in digital product design.
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 ability to intuitively understand what makes a product successful, including market needs, user experience, and competitive landscape. Important for making informed decisions that lead to successful product development.
The systematic identification, analysis, planning, and implementation of actions designed to engage and influence stakeholders in a project. Crucial for maintaining positive relationships and ensuring stakeholder support throughout the project lifecycle.
A short, time-boxed period used in Agile development to research a concept or explore a new technology. Important for reducing uncertainty and risk in development.
A cognitive bias where individuals overestimate the likelihood of extreme events regressing to the mean. Crucial for understanding decision-making and judgment under uncertainty.
A technique used to prime an audience before delivering a persuasive message. Essential for enhancing the effectiveness of persuasive communication by shaping audience receptivity.
Must have, Should have, Could have, and Won't have (MoSCoW) is a method used to prioritize features or tasks. Crucial for effective project management and ensuring focus on essential features.
Product Strategy is a framework that outlines how a product will achieve its business goals and satisfy customer needs. Crucial for guiding product development, prioritizing features, and aligning the team around a clear vision.
The process of planning, creating, and managing content in a way that is user-centered and purpose-driven. Crucial for ensuring that content is engaging, relevant, and effective.
The planning, development, and management of content to meet business and user needs, ensuring consistency and effectiveness across all channels. Essential for creating cohesive and impactful content that aligns with business goals and user needs.
The extent to which individuals or organizations plan for and consider the long-term consequences of their actions. Crucial for designing strategies and products that are sustainable and adaptable over time.
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.
A research approach that starts with observations and develops broader generalizations or theories from them. Useful for discovering patterns and generating new theories from data.
Qualitative data that provides insights into the context and human aspects behind quantitative data. Crucial for gaining deep insights into user behaviors and motivations.
A visual representation of the user or customer journey, highlighting key interactions, emotions, and pain points. Essential for identifying opportunities to improve user or customer experiences.
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.
A phenomenon where information is better remembered if it is generated from one's own mind rather than simply read. Useful for designing educational and interactive content that enhances memory retention.
The tendency for people's perception to be affected by their recurring thoughts at the time. Important for understanding how current thoughts influence user perception and decision-making.
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.
A brand architecture strategy where multiple distinct brands are managed under a single parent company. Crucial for managing diverse product lines and maximizing market reach.
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.
Happiness, Engagement, Adoption, Retention, and Task (HEART) is a framework used to measure and improve user experience success. Important for systematically evaluating and enhancing user experience.
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.
Lifetime Value (LTV) is a metric that estimates the total revenue a business can expect from a single customer account throughout their relationship. Crucial for informing customer acquisition strategies, retention efforts, and overall business planning by providing insights into long-term customer profitability.
Practical applications of behavioral science to understand and influence human behavior in various contexts. Crucial for applying scientific insights to design and improve user experiences and outcomes.
The speed at which users start using a new product, typically measured as a percentage of the target market over a specific period. Essential for evaluating the success of a product launch and planning subsequent strategies.
Also known as Self Relevance Effect, the tendency for individuals to better remember information that is personally relevant or related to themselves. Important for designing personalized user experiences and enhancing memory retention.
A psychological phenomenon where people do something primarily because others are doing it. Important for understanding social influences on user behavior and trends.
The psychological discomfort experienced when parting with money, influenced by the payment method and context. Crucial for understanding spending behavior and designing payment systems that mitigate discomfort.
A cognitive bias where individuals give stronger weight to payoffs that are closer to the present time compared to those in the future. Important for understanding user time-related decision-making and designing systems that encourage long-term thinking.
The tendency for people to value products more highly if they have put effort into assembling them. Important for understanding user satisfaction and product attachment.
The practice of linking one page of a website to another page on the same website, improving navigation, user experience, and SEO. Essential for enhancing website structure, user engagement, and search engine optimization.
A theory that suggests the depth of processing (shallow to deep) affects how well information is remembered. Important for designing educational content and user interfaces that enhance memory retention.
A cognitive bias where people prefer a greater variety of options when making simultaneous choices compared to sequential choices. Important for designers to consider user preferences for variety when designing choice architectures and product offerings.
A risk management model that illustrates how multiple layers of defense (like slices of Swiss cheese) can prevent failures, despite each layer having its own weaknesses. Crucial for understanding and mitigating risks in complex systems.
A cognitive bias that occurs when conclusions are drawn from a non-representative sample, focusing only on successful cases and ignoring failures. Crucial for making accurate assessments and designing systems that consider both successes and failures.
A framework that combines multiple theories to explain and predict behavior, focusing on intention, knowledge, skills, environmental constraints, and habits. Crucial for designing interventions that effectively change user behavior.
A psychological state where individuals lose their sense of self-awareness and personal responsibility in groups, often leading to atypical behavior. Crucial for understanding group dynamics and designing experiences that promote positive group interactions.
The study of psychology as it relates to the economic decision-making processes of individuals and institutions. Essential for understanding and influencing user decision-making and behavior in economic contexts.
Key Performance Indicators (KPIs) are quantifiable measures used to evaluate the success of an organization, employee, or project in meeting objectives for performance. Essential for tracking progress, making informed decisions, and aligning efforts with strategic goals across various business functions, including product design and development.
A tendency to avoid making decisions that might lead to regret, influencing risk-taking and decision-making behaviors. Crucial for understanding decision-making processes and designing systems that minimize regret.
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.
A cognitive bias where people allow themselves to indulge after doing something positive, believing they have earned it. Important for understanding user behavior and designing systems that account for self-regulation.
The style and attitude of the communication in a product, reflecting the brand's personality and affecting how messages are perceived by users. Important for creating a consistent and engaging user experience that aligns with the brand identity.
A logical fallacy in which it is assumed that qualities of one thing are inherently qualities of another, due to an irrelevant association. Important for avoiding incorrect associations in user research and data interpretation.
A situation in which an individual is unable to make a decision due to the overwhelming number of options available. Important for designing interfaces that streamline decision-making processes for users.
A cognitive bias where individuals underestimate the time, costs, and risks of future actions while overestimating the benefits. Important for realistic project planning and setting achievable goals for designers.
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.
The study of the principles that govern human behavior, including how people respond to stimuli and learn from their environment. Crucial for designing user experiences that anticipate and influence user behavior.
A cognitive bias where individuals' expectations influence their perceptions and judgments. Relevant for understanding how expectations skew perceptions and decisions among users.
Product Development is the process of bringing a new product to market or improving an existing one. Crucial for innovation, meeting customer needs, and maintaining a competitive edge.
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 principle often used in behavioral economics that suggests people evaluate options based on relative comparisons rather than absolute values. Important for understanding decision-making and designing choices that highlight beneficial comparisons.
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.
A metric that predicts how well a specific page will rank on search engine result pages (SERPs). Important for understanding and improving a webpage's search engine performance.
The process of turning potential customers into paying customers, often measured by the conversion rate. Essential for understanding and optimizing the customer journey.