Data-Driven Design
An approach to design that relies on data and analytics to inform decisions and measure success. Crucial for making informed design decisions that are backed by evidence.
An approach to design that relies on data and analytics to inform decisions and measure success. Crucial for making informed design decisions that are backed by evidence.
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 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.
Behavioral Science (BeSci) is the study of human behavior through systematic analysis and investigation. Essential for understanding and influencing user behavior in design and product development.
Adhering to laws, regulations, and guidelines relevant to business operations and product development. Crucial for ensuring products and practices meet legal and ethical standards.
A distinct text-only typographic treatment of a brand name used as a logo. Important for establishing a recognizable brand identity and ensuring consistent brand representation.
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.
The practice of comparing performance metrics to industry bests or best practices from other companies. Essential for identifying performance gaps and opportunities for improvement.
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.
The tendency for individuals to present themselves in a favorable light by overreporting good behavior and underreporting bad behavior in surveys or research. Crucial for designing research methods that mitigate biases and obtain accurate data.
The process of generating a broad set of ideas on a given topic, with no attempt to judge or evaluate them initially. Crucial for creative problem-solving and developing innovative solutions in product design and development.
The study of computers as persuasive technologies, focusing on how they can change attitudes or behaviors. Important for designing systems that effectively influence user behavior ethically.
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.
Enhanced search results that include additional visual or informational elements beyond the standard text, often derived from structured data on a webpage. Important for improving click-through rates and providing users with more useful information in search results.
A cognitive bias where people's decisions are influenced by how information is presented rather than just the information itself. Crucial for designers to minimize bias in how information is presented to users.
The process of fundamentally changing how a service is delivered to improve efficiency, user satisfaction, and overall effectiveness. Essential for enhancing service delivery and aligning it with modern user needs and expectations.
Application Support Engineer (ASE) is a professional responsible for maintaining and supporting software applications, ensuring their availability and performance. Crucial for ensuring the reliability and user satisfaction of digital products through effective support and maintenance.
A seamless and integrated customer experience across multiple channels, such as online, mobile, and in-store. Crucial for providing a consistent and cohesive user experience, enhancing customer satisfaction and loyalty in digital products.
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.
The way information is presented to users, which can significantly influence their decisions and perceptions. Important for designing messages and interfaces that guide user choices effectively.
Application Release Automation (ARA) is the process of automating the release of applications, ensuring consistency and reducing errors. Crucial for accelerating the delivery of software updates and maintaining high-quality 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.
A form of regression analysis where the relationship between the independent variable and the dependent variable is modeled as an nth degree polynomial. Useful for modeling non-linear relationships in digital product data analysis.
A prioritization framework used in product management to evaluate features based on Reach, Impact, Confidence, and Effort. Crucial for making informed decisions about which product features to prioritize and develop.
Integrated Business Planning (IBP) is a process that aligns strategic, operational, and financial planning to optimize business performance. It ensures cohesive and efficient planning across all functions.
An abbreviation formed from the initial letters of a brand's name, used as a logo or branding element. Important for creating a simplified and recognizable brand identity.
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.
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.
Quality Function Deployment (QFD) is a method used to transform customer needs into engineering characteristics for a product or service. Essential for ensuring that customer requirements are systematically incorporated into the design and development process.
Dynamic Systems Development Method (DSDM) is an agile project delivery framework focused on delivering business value early and continuously. Essential for ensuring that projects align with business goals and user needs through iterative processes.
A dark pattern where users are pressured to make quick decisions by creating a false sense of urgency. Designers must avoid creating artificial urgency and allow users to make decisions at their own pace.
A phenomenon where an item that stands out is more likely to be remembered than other items, often used in design to highlight important elements. Crucial for designing interfaces that effectively capture user attention.
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.
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 cognitive bias where people perceive an outcome as certain while it is actually uncertain, based on how information is presented. Crucial for understanding and mitigating biased user decision-making.
A strategic approach where multiple potential solutions are tested to identify the most promising one. Crucial for innovation and reducing risk in decision-making.
The process of creating or enhancing a community among individuals with common interests, goals, or values. Crucial for fostering user engagement and loyalty through shared interests and values.
Mutually Exclusive, Collectively Exhaustive (MECE) is a problem-solving framework ensuring that categories are mutually exclusive and collectively exhaustive, avoiding overlaps and gaps. Essential for structured thinking and comprehensive analysis in problem-solving.
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.
Managing product development with a focus on understanding and influencing user behavior through behavioral science principles. Essential for product managers to create user-centric products that drive desired behaviors.
A cognitive bias where people overemphasize information that is placed prominently or in a way that catches their attention first. Crucial for designing interfaces and information displays that manage user attention effectively.
The study of how information is transmitted and received, including the processes and methods that facilitate communication. Important for designing effective communication strategies and user interfaces.
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 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.
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.
A psychological theory that predicts an individual's behavior based on their intention, which is influenced by their attitudes and subjective norms. Important for understanding and predicting user behavior and designing interventions to influence actions.
A cognitive bias where one negative trait of a person or thing influences the perception of other traits. Important for designing experiences that counteract or mitigate negative biases in user perception.
Natural Language Processing (NLP) is a field of AI focused on the interaction between computers and humans using natural language. Essential for developing applications like chatbots, language translation, and sentiment analysis.
The study of strategic decision making, incorporating psychological insights into traditional game theory models. Useful for understanding complex user interactions and designing systems that account for strategic behavior.
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.
A system where outputs are fed back into the process as inputs, allowing for continuous improvement based on user responses. Crucial for iterative development and continuous improvement in design and product management.
The study of cultural norms, values, and practices and their influence on human behavior. Useful for designing products that are culturally sensitive and relevant.
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.
A framework for designing habit-forming products that includes four phases: Trigger, Action, Variable Reward, and Investment. Crucial for creating engaging and sticky user experiences.
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.
A dark pattern where advertisements are disguised as other types of content or navigation to trick users into clicking on them. Awareness of this tactic is crucial to maintain transparency and prevent misleading users with disguised content.
The study of signs and symbols and their use or interpretation. Important for designing effective visual communication and iconography.
A prioritization technique where stakeholders use a limited budget to "buy" features they believe are most valuable, helping to prioritize the development roadmap. Useful for involving stakeholders in the decision-making process and aligning development priorities with business value.
Technology designed to change attitudes or behaviors of users through persuasion and social influence, but not coercion. Crucial for designing systems that effectively influence user behavior while maintaining ethical standards.
Emotional states where individuals are calm and rational, often contrasted with hot states where emotions run high. Important for understanding decision-making processes and designing experiences that accommodate both states.