Computational Thinking
A problem-solving process that includes logical reasoning, pattern recognition, abstraction, and algorithmic thinking. Important for developing efficient and effective solutions in digital product design and development.
453 topics found for:
“analytics”
Information Scent
The cues and hints that users follow to find information online, based on perceived relevance and usefulness. Important for designing intuitive navigation and content structures that align with user expectations.
Endowment Effect
A cognitive bias where people ascribe more value to things merely because they own them. Useful for understanding user attachment and designing persuasive experiences.
VOC
Voice of the Customer (VOC) is a process for capturing customers' expectations, preferences, and aversions. Crucial for guiding product development and improving customer satisfaction.
Risk-as-Feelings Theory
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.
Anchor Pricing
A pricing strategy where a high-priced option is introduced first to set a reference point, making other options seem more attractive in comparison. Important for shaping user perceptions of value and creating a benchmark for other pricing options.
Information Foraging
The theory that users search for information in a manner similar to animals foraging for food, aiming to maximize value while minimizing effort. Important for designing efficient and user-centered information retrieval systems.
Data Distribution
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.
Peltzman Effect
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.
Sub-Brand
A brand that is part of a larger brand family, often having its own distinct identity while being related to the parent brand. Important for diversifying a brand's market presence and reaching new customer segments.
Brand Discovery
The process by which consumers become aware of and learn about a brand. Important for establishing initial brand awareness and attracting potential customers.
Logistic Regression
A statistical method used to predict a binary outcome based on prior observations, modeling the probability of an event as a function of independent variables. Essential for predicting categorical outcomes in digital product analysis and user behavior modeling.
Visual Identity
The visual elements of a brand, such as color, design, and logo, that communicate the brand to consumers. Crucial for creating a consistent and recognizable brand presence.
Good Defaults
Pre-selected options in a user interface that are chosen to benefit the majority of users. Essential for simplifying decision-making and improving user experience by reducing the need for customization.
Risk Taxonomy
A structured classification of risks into categories, helping organizations identify, assess, and manage different types of risks. Important for understanding and managing risks effectively within an organization.
Information Ecology
The study of the relationships between people, practices, values, and technologies within an information environment. Helps in understanding and designing systems that are sustainable and adaptive to human and environmental changes.
Data Architect
A professional responsible for designing and managing data structures, storage solutions, and data flows within an organization. Important for ensuring efficient data management and supporting data-driven decision-making in digital product design.
PDCA
Plan-Do-Check-Act (PDCA) is an iterative four-step management method used for continuous improvement of processes and products. Essential for quality control and operational efficiency.
Brand Awareness
The extent to which consumers are familiar with a brand and can recognize it. Crucial for establishing a strong market presence and driving customer acquisition.
Empathy Gap
A cognitive bias where people underestimate the influence of emotional states on their own and others' behavior. Crucial for designers to account for varying user emotional states in experience design.
Velocity
A measure used in Agile project management to quantify the amount of work a team can complete in a given sprint, typically measured in story points. Crucial for planning and forecasting in Agile projects and understanding team capacity.
Needy Patterns
UI patterns that excessively demand user attention, often interrupting the user experience. Important for identifying and avoiding practices that can frustrate or annoy users.
Risk Compensation
The theory that people adjust their behavior in response to the perceived level of risk, often taking more risks when they feel more protected. Important for designing safety features and understanding behavior changes in response to risk perception.
Ambiguity Effect
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.
Information Aversion
The tendency to avoid information that one perceives as potentially negative or anxiety-inducing. Important for designing experiences that encourage information-seeking behavior.
STEEPLE Framework
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.
Brand Audit
A thorough examination of a brand's current position in the market and its effectiveness in reaching its goals. Important for assessing brand health and identifying areas for improvement.
Competitive Landscape
The overall market environment in which a business operates, including the strengths and weaknesses of competitors. Important for understanding the market context and identifying opportunities and threats.
Normal Data Distribution
A symmetrical, bell-shaped distribution of data where most observations cluster around the mean. Fundamental in statistics and crucial for many analytical techniques used in digital product design and data-driven decision making.
RICE Scoring Model
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.
AIoT
Artificial Intelligence of Things (AIoT) is the integration of AI with the Internet of Things (IoT) to create smart systems that can learn and adapt. Crucial for developing advanced, intelligent products that offer enhanced user experiences and operational efficiencies.
Brand Attributes
The characteristics and qualities that define a brand and distinguish it from competitors. Essential for creating a unique brand identity and guiding brand communications.
Lead Qualification
The process of evaluating and categorizing potential customers based on their likelihood to purchase. Essential for prioritizing sales efforts and improving conversion rates.