Behavior-Driven Development (BDD) is a software development approach where applications are specified and designed by describing their behavior. Important for ensuring clear communication and shared understanding between developers and stakeholders.
A schedule of reinforcement where a desired behavior is reinforced every time it occurs, promoting quick learning and behavior maintenance. Important for designing systems that encourage consistent user behavior.
Tell, Don't Ask (TDA) is a design principle in software engineering that promotes encapsulation by having objects handle their own data and actions. Essential for maintaining object-oriented integrity and reducing dependencies in the code.
A practice of performing testing activities in the production environment to monitor and validate the behavior and performance of software in real-world conditions. Crucial for ensuring the stability, reliability, and user satisfaction of digital products in a live environment.
Test-Driven Development (TDD) is a software development methodology where tests are written before the code that needs to pass them. Essential for ensuring high code quality and reducing bugs.
A performance testing method that evaluates the system's behavior and stability over an extended period under a high load. Essential for identifying memory leaks and ensuring the reliability and performance of digital products under prolonged use.
A research method that focuses on understanding phenomena through in-depth exploration of human behavior, opinions, and experiences, often using interviews or observations. Essential for gaining deep insights into user needs and behaviors to inform design and development.
A document that defines the functionality, behavior, and features of a system or component. Important for providing clear requirements and expectations for product design and development teams, ensuring alignment and successful project outcomes.
A testing method where the internal structure of the system is not known to the tester, focusing solely on input and output. Essential for validating the functionality of digital products from an end-user perspective.
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.
User interfaces that change in response to user behavior or preferences to improve usability and efficiency. Crucial for creating personalized and efficient user experiences.
A detailed description of a system's behavior as it responds to a request from one of its stakeholders, often used to capture functional requirements. Essential for understanding and documenting how users will interact with a system to achieve their goals.
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.
A heuristic where individuals evenly distribute resources across all options, regardless of their specific needs or potential. Useful for understanding and designing around simplistic decision-making strategies.
The ability of users to influence the behavior and outcomes of a system or product, allowing them to interact with it according to their preferences. Essential for creating user-friendly interfaces that allow for flexibility and customization.
The use of software to automate repetitive marketing tasks and workflows, improving efficiency and effectiveness. Essential for streamlining marketing processes and increasing productivity.
A cognitive architecture model that explains how humans can learn and adapt to new tasks. Useful for understanding user learning and behavior adaptation, informing better user experience design.
Principle of Least Astonishment (POLA) is a design guideline stating that interfaces should behave in a way that users expect to avoid confusion. Crucial for enhancing user experience and reducing the learning curve in digital products.
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.
A principle stating that a system should be liberal in what it accepts and conservative in what it sends, meaning it should handle user input flexibly while providing clear, consistent output, similar to the principle of fault tolerance. Essential for designing robust and user-friendly interfaces that accommodate a wide range of user inputs and behaviors while maintaining reliability and clarity in responses.
The study of how people acquire knowledge, skills, and behaviors through experience, practice, and instruction. Useful for creating educational content and interactive tutorials that enhance user learning.
Also known as the 68-95-99.7 Rule, it states that for a normal distribution, nearly all data will fall within three standard deviations of the mean. Important for understanding the distribution of data and making predictions about data behavior in digital product design.
A graphical representation of the distribution of numerical data, typically showing the frequency of data points in successive intervals. Important for analyzing and interpreting data distributions, aiding in decision-making and optimization in product design.
Human-Computer Interaction (HCI) is the study of designing interfaces and interactions between humans and computers. It ensures that digital products are user-friendly, efficient, and satisfying.
Net Promoter Score (NPS) is a metric used to measure customer loyalty and satisfaction based on their likelihood to recommend a product or service to others. Crucial for gauging overall customer sentiment and predicting business growth through customer advocacy.
Minimum Viable Feature (MVF) is the smallest possible version of a feature that delivers value to users and allows for meaningful feedback collection. Crucial for rapid iteration in product development, enabling teams to validate ideas quickly and efficiently while minimizing resource investment.
Minimum Marketable Feature (MMF) is the smallest set of functionality that delivers significant value to users and can be marketed effectively. Crucial for prioritizing development efforts and releasing valuable product increments quickly, balancing user needs with business objectives.
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.
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.
Customer Relationship Management (CRM) is a strategy for managing an organization's relationships and interactions with current and potential customers. Essential for improving business relationships and driving sales growth.
Specific conditions that must be met for a product or feature to be considered complete and satisfactory. Essential for product managers and developers to ensure clarity and alignment on what constitutes "done".
A step-by-step guide that helps users complete a complex task by breaking it down into manageable steps. Crucial for improving usability and ensuring users can successfully complete multi-step processes.
A simple description of a feature from the perspective of the user, typically used in Agile development to capture requirements and guide development. Crucial for ensuring that development efforts are aligned with user needs and priorities.
A research design where the same participants are used in all conditions of an experiment, allowing for the comparison of different conditions within the same group. Essential for reducing variability and improving the reliability of experimental results.
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.
Monthly Recurring Revenue (MRR) is a metric that quantifies the predictable revenue generated each month from customers. This metric is crucial for SaaS companies to track financial health and growth.
A principle stating that as the flexibility of a system increases, its usability often decreases, and vice versa. Crucial for balancing versatility and ease of use in design.
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.