Content Summary
A brief overview of the main points or sections of a document or web page. Crucial for helping users quickly understand the key takeaways and decide whether to read further.
A brief overview of the main points or sections of a document or web page. Crucial for helping users quickly understand the key takeaways and decide whether to read further.
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.
Search Engine Results Page (SERP) is the page displayed by a search engine in response to a user's query. Essential for understanding how search results are presented and how to optimize content to appear prominently.
A key aspect of Gestalt psychology in which simple geometrical objects are recognized independent of rotation, translation, and scale. Crucial for understanding how users perceive and recognize patterns in design.
A psychological principle where people place higher value on objects or opportunities that are perceived to be limited or rare. Important for understanding consumer behavior and designing marketing strategies that leverage perceived scarcity.
A strategy that focuses on identifying and addressing the specific problems or "pain points" of users in order to improve search engine rankings and attract more targeted traffic. Essential for creating content that directly addresses user needs and improves website visibility.
The process of performing a series of seemingly unrelated and often tedious tasks that are necessary to solve a larger problem. Important for recognizing and managing the indirect tasks that contribute to achieving the main objectives in digital product design.
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.
Messenger, Incentives, Norms, Defaults, Salience, Priming, Affect, Commitment, and Ego (MINDSPACE) is a framework used to understand and influence behavior. Crucial for designing interventions that effectively influence user behavior.
The tendency for negative information to have a greater impact on one's psychological state and processes than neutral or positive information. Important for understanding and mitigating the impact of negative information.
Common reading patterns users follow when scanning web content, such as the F-pattern, where users read across the top and then scan down the left side. Important for designing layouts that align with natural reading behaviors, improving content engagement and usability.
A statistical method that models the relationship between a dependent variable and one or more independent variables by fitting a linear equation to observed data. Essential for predicting outcomes and understanding relationships between variables in digital product design and analysis.
The collection of all the backlinks (inbound links) pointing to a website, used to assess its authority and influence in search engine rankings. Essential for understanding and improving SEO strategies.
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 to give more weight to negative experiences or information than positive ones. Crucial for understanding user behavior and designing systems that balance positive and negative feedback.
The concept that humans have a finite capacity for attention, influencing how they perceive and interact with information. Crucial for designing user experiences that are not overwhelming and facilitate focus.
A psychological phenomenon where a person who has done a favor for someone is more likely to do another favor for that person than if they had received a favor from them. Useful for building positive relationships and encouraging cooperative behavior in design and user interactions.
The perception of objects as unchanging despite changes in sensory input, such as changes in lighting, distance, or angle. Important for understanding user perception and designing stable visual experiences.
A cognitive bias where people underestimate the complexity and challenges involved in scaling systems, processes, or businesses. Important for understanding the difficulties of scaling and designing systems that address these challenges.
The study of how people make choices about what and how much to do at various points in time, often involving trade-offs between costs and benefits occurring at different times. Crucial for designing systems that account for delayed gratification and long-term planning.
The tendency to cling to one's beliefs even in the face of contradictory evidence. Important for understanding resistance to change and designing interventions that address this bias.
The study of social relationships, structures, and processes. Important for understanding the impact of social dynamics on user behavior and designing for social interactions.
The tendency to recall past behavior in a way that aligns with current beliefs and attitudes. Crucial for understanding how memories and self-perception can be influenced by current perspectives.
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.
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.
A structure or framework used to create effective prompts for AI systems, ensuring clarity and context. Important for standardizing and improving AI prompt design.
The perception of a relationship between two variables when no such relationship exists. Crucial for understanding and avoiding biases in data interpretation and decision-making.
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.
The process of collecting, analyzing, and reporting aggregate data about which pages a website visitor visits and in what order. Essential for understanding user behavior and improving website navigation and content.
A type of model architecture primarily used in natural language processing tasks, known for its efficiency and scalability. Essential for state-of-the-art NLP applications.
A key aspect of Gestalt psychology describing the mind's ability to fill in gaps to create a whole object from incomplete elements. Crucial for designing creative and engaging visuals that are both pleasing to the eye and cleverly satisfying to the mind.
A Gestalt principle suggesting that elements are perceived as a single unit or group if they share an organizing visual cue like bullet points, or connecting lines. Essential for creating designs that organize and define related elements through grouping.
Narrative descriptions of how users might interact with a product or system to achieve specific goals, used to inform design and development. Important for understanding user needs and ensuring the design supports their tasks and goals.
The process of identifying user needs and market opportunities to inform the development of new products or features. Crucial for ensuring that products are user-centered and meet real market demands.
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.
A cognitive bias where individuals overestimate the accuracy of their judgments, especially when they have a lot of information. Important for understanding and mitigating overconfidence in user decision-making.
Business-to-Consumer (B2C), a business model where products or services are sold directly to individual consumers. Essential for understanding consumer markets and developing direct marketing strategies.
The study of signs and symbols and their use or interpretation. Important for designing effective visual communication and iconography.
A Japanese term meaning "the real place," used in Lean management to describe the place where value is created. Important for understanding the actual processes and identifying areas for improvement.
A set of fundamental principles and guidelines that inform and shape user research practices. Crucial for maintaining consistency and ensuring high-quality user insights.
The observed tendency of humans to quickly return to a relatively stable level of happiness despite major positive or negative events or life changes. Useful for designing experiences that maintain user engagement and satisfaction over time.
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.
Feature Adoption Rate (FAR) is the percentage of users who adopt a new feature within a specified time period after its release. This metric is important for measuring the success and impact of new product features.
A set of fundamental principles and guidelines that inform and shape design practices. Crucial for maintaining design consistency and ensuring high-quality outcomes.
A theory that suggests people learn behaviors, skills, and attitudes through observing and imitating others, as well as through direct experiences. Crucial for understanding how users acquire new behaviors and designing educational or training programs.
The ability to recognize, understand, and manage one's own emotions and the emotions of others. Essential for designing empathetic user experiences and effective team collaboration.
A sorting algorithm that distributes elements into a number of buckets, sorts each bucket individually, and then combines the buckets to get the sorted list. Useful for understanding more advanced algorithmic techniques and their applications.
The phenomenon where having too many options leads to decision-making paralysis and decreased satisfaction. Crucial for understanding and designing user interfaces that avoid overwhelming users with choices.
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.
A cognitive bias where people prefer familiar things over unfamiliar ones, even if the unfamiliar options are objectively better. Useful for designing interfaces and products that leverage familiar elements to enhance user comfort.
Business-to-Business-to-Business (B2B2B), a business model where businesses sell products or services to other businesses that then sell them to additional businesses. Crucial for understanding multi-tiered business relationships and strategies.
A key aspect of Gestalt psychology where complex patterns arise out of relatively simple interactions. Crucial for understanding how users perceive complex designs and patterns.
The tendency for individuals to continue a behavior or endeavor as a result of previously invested resources (time, money, or effort) rather than future potential benefits. Important for understanding decision-making biases and designing systems that help users avoid irrational persistence.
The percentage of customers who stop using a product or service during a specific time period. Essential for understanding customer retention and identifying areas for improvement.
A cognitive bias that causes people to attribute their own actions to situational factors while attributing others' actions to their character. Essential for helping designers recognize their own situational influences on interpreting user behavior and feedback.
The behavior of seeking information or resources based on social interactions and cues. Important for understanding how users gather information in social contexts and designing systems that support collaborative information seeking.
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.
Data points that represent an individual's, team's, or company's performance in the sales process. Essential for tracking progress, identifying issues, and optimizing sales strategies.
CSM (Customer Success Management) is a business methodology focused on ensuring customers achieve their desired outcomes while using a product or service. Crucial for driving customer retention and satisfaction.
A mathematical framework used to analyze strategic interactions where the outcomes depend on the actions of multiple decision-makers. Useful for designing systems and processes that involve competitive or cooperative interactions.