Descriptive Analytics
The interpretation of historical data to identify trends and patterns. Important for understanding past performance and informing future decision-making.
The interpretation of historical data to identify trends and patterns. Important for understanding past performance and informing future decision-making.
Newly developing patterns or shifts in technology, behavior, or design that have the potential to influence future practices and strategies. Important for staying ahead of the curve and adapting to changes in the industry.
A moment of significant change in a process or system, where the direction of growth, performance, or trend shifts markedly. Important for recognizing critical transitions in design or business strategies, enabling timely adjustments and informed decision-making.
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 type of data visualization that uses dots to represent values for two different numeric variables, plotted along two axes. Essential for identifying relationships, patterns, and outliers in datasets used in digital product design and analysis.
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 research technique that explores the context in which users interact with a product, service, or environment to understand their needs and behaviors. Crucial for gaining deep insights into user contexts and designing more relevant solutions.
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.
The extent to which consumers can identify a brand by its attributes such as logo, tagline, or packaging. Essential for building brand awareness and ensuring that the brand stands out in the market.
A clear, concise description of the issue(s) that need to be addressed, focusing on the specific challenge and its impact. Essential for guiding problem-solving efforts and ensuring a clear understanding of the issue at hand.
Model-Based Systems Engineering (MBSE) is a methodology that uses visual modeling to support system requirements, design, analysis, and validation activities throughout the development lifecycle. Essential for managing complex systems, improving communication among stakeholders, and enhancing the overall quality and efficiency of systems engineering processes.
Areas of unmet demand in a market where opportunities for growth and development exist. Essential for identifying new business opportunities.
A phenomenon where learning is improved when study sessions are spaced out over time rather than crammed together. Crucial for designing educational and training programs that enhance long-term retention.
An area in a market or industry that is currently underserved or unaddressed, presenting opportunities for innovation and new business ventures. Important for identifying gaps in the market that can be filled with new products, services, or solutions.
A potential customer who has shown interest in a product or service and is more likely to become a customer. Crucial for prioritizing sales efforts and increasing conversion rates.
Numeronym for the word "Observability" (O + 11 letters + N), the ability to observe the internal states of a system based on its external outputs, facilitating troubleshooting and performance optimization. Crucial for monitoring and understanding system performance and behavior.