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.
An inference method used in AI and expert systems where reasoning starts from known facts and applies rules to derive new facts. Important for developing intelligent systems that can build knowledge and solve problems incrementally in digital products.
ARIA attributes that describe the current state of an element, such as whether it is selected or expanded. Crucial for providing context and improving navigation for users with disabilities.
A team structure focused on delivering value streams, often organized around a specific business capability or customer need. Crucial for enhancing delivery efficiency and aligning with business goals.
A common solution to a recurring problem that is ineffective and counterproductive, often resulting in negative consequences. Important for recognizing and avoiding poor design practices and improving overall design quality.
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".
An environment closer to production where final testing and validation occur. Crucial for ensuring that products are ready for production deployment.
3-Tiered Architecture is a software design pattern that separates an application into three layers: presentation, logic, and data. Crucial for improving scalability, maintainability, and flexibility in software development.
A software development practice where code changes are automatically deployed to production without manual intervention. Important for maintaining a high level of productivity and quality in software development.
An estimation technique used in Agile software development where team members assign story points to tasks through consensus-based discussion. Essential for collaborative and accurate project planning and estimation.
Features or elements added to enhance the functionality or user experience of a system. Crucial for improving user engagement and satisfaction by adding valuable enhancements.
A preliminary version of a project or system used to test and validate its feasibility before full-scale implementation. Crucial for identifying potential issues and making necessary adjustments to improve the final product.
User-Centered Design (UCD) is an iterative design approach that focuses on understanding users' needs, preferences, and limitations throughout the design process. Crucial for creating products that are intuitive, efficient, and satisfying for the intended users.
A framework that incorporates privacy considerations into the design and development of products and services from the outset. Crucial for ensuring user privacy and compliance with data protection regulations.
Redundant, outdated, or unnecessary code or design elements that accumulate over time in a system. Important for identifying and removing to maintain clean, efficient, and maintainable systems and interfaces.
A testing methodology that verifies the complete workflow of an application from start to finish, ensuring all components work together as expected. Important for ensuring the reliability and performance of digital products, leading to better user satisfaction and fewer post-launch issues.
Systematic errors in AI models that arise from the data or algorithms used, leading to poor outcomes. Important for ensuring fairness and accuracy in AI systems.
Trust, Risk, and Security Management (TRiSM) is a framework for managing the trust, risk, and security of AI systems to ensure they are safe, reliable, and ethical. Essential for ensuring the responsible deployment and management of AI technologies.
An AI model that has been pre-trained on a large dataset and can be fine-tuned for specific tasks. Essential for developing state-of-the-art NLP applications.
A preliminary testing phase conducted by internal staff to identify bugs before releasing the product to external testers or customers. Crucial for ensuring product quality and functionality before broader release.
An environment that replicates the production environment, used for final testing before deployment. Crucial for ensuring that digital products are thoroughly tested and perform as expected before going live.
A method of splitting a dataset into two subsets: one for training a model and another for testing its performance. Fundamental for developing and evaluating machine learning models in digital product design.
A strategic approach where decisions and direction are set by top-level management and flow down through the organization, often aligned with overarching business goals. Crucial for ensuring strategic alignment and coherence across all levels of an organization.
The process of anticipating, detecting, and resolving errors in software or systems to ensure smooth operation. Important for creating reliable and user-friendly software applications.
The process of evaluating the impact and success of a feature after its release, based on predefined metrics and user feedback. Crucial for understanding the effectiveness of features and informing future development.
In AI, the generation of incorrect or nonsensical information by a model, particularly in natural language processing. Important for understanding and mitigating errors in AI systems.
The part of an application that encodes the real-world business rules that determine how data is created, stored, and modified. Crucial for ensuring that digital products align with business processes and deliver value to users.
A psychological perspective that emphasizes the study of the whole person and the uniqueness of each individual, focusing on concepts such as self-actualization and personal growth. Crucial for understanding and designing experiences that cater to individual user needs and potential.
The planning, development, and management of content to meet business and user needs, ensuring consistency and effectiveness across all channels. Essential for creating cohesive and impactful content that aligns with business goals and user needs.
Weighted Shortest Job First (WSJF) is a prioritization method used in agile and lean methodologies to maximize value by comparing the cost of delay to the duration of tasks. Essential for effectively prioritizing work to ensure the highest value tasks are completed first.
The design of user interfaces for machines and software, such as computers, mobile devices, and other electronic devices, with the focus on maximizing usability and the user experience. Essential for ensuring that digital products are intuitive and easy to use.
The ability to intuitively understand what makes a product successful, including market needs, user experience, and competitive landscape. Important for making informed decisions that lead to successful product development.
Data that is organized in a predefined manner, making it easier for search engines to understand and display rich snippets in search results. Essential for enhancing search results and improving SEO.
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.
The risk that the product being developed will not deliver sufficient value to the users, meaning it won't meet their needs or solve their problems. Critical for ensuring the product will be desirable and valuable to the users, which is essential for its success.
Technologies that enable machines to understand and interpret data on the web in a human-like manner, enhancing connectivity and usability of information. Essential for improving data interoperability and accessibility on the web.
A detailed strategy outlining the timeline, milestones, and deliverables for a product release, ensuring that all activities are aligned and completed on schedule. Essential for coordinating efforts and ensuring a successful product launch.
Specific attributes used to enhance the accessibility of web content and applications by providing additional information to assistive technologies. Crucial for making dynamic web content more accessible to users with disabilities.
A set of algorithms, modeled loosely after the human brain, designed to recognize patterns and perform complex tasks. Essential for developing advanced AI applications in various fields.
A test proposed by Alan Turing to determine if a machine's behavior is indistinguishable from that of a human. Important for evaluating the intelligence of AI systems.
The distribution of a new or updated software product to users. Important for delivering new features, improvements, and fixes to users, ensuring continuous enhancement of the product.
Areas of unmet demand in a market where opportunities for growth and development exist. Essential for identifying new business opportunities.
A role responsible for overseeing multiple product managers and ensuring alignment and collaboration across different product lines within an organization. Crucial for coordinating efforts and driving strategic product development.
AI systems that can dynamically adjust their behavior based on new data or changes in the environment. Important for developing systems that can respond to real-time changes and improve over time.
A collaborative tool used to visualize what a user thinks, feels, says, and does to better understand their experiences and needs. Essential for gaining deep insights into user behavior and guiding design decisions.
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 prioritization method that assigns different weights to criteria based on their importance, helping to make informed decisions and prioritize tasks effectively. Crucial for making objective and balanced decisions in project management and product development.
The practice of designing applications specifically for a particular operating system or platform, leveraging its unique features and capabilities. Important for delivering high-performance and responsive user experiences.
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 design principle that suggests using an odd number of elements in a composition to create visual interest and balance. Crucial for creating aesthetically pleasing designs.
A problem-solving approach that involves breaking down complex problems into their most basic, foundational elements. Crucial for developing innovative solutions by understanding and addressing core issues.
Business-to-Business (B2B), a business model where products or services are sold from one business to another. Crucial for understanding business markets and developing inter-business strategies.
A collection of reusable components, guided by clear standards, that can be assembled to build any number of applications, ensuring consistency and efficiency. Crucial for maintaining design consistency and efficiency across products.
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.
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 method that involves repeated observations of the same variables over a period of time. Crucial for understanding changes and developments over time.
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.
Large Language Model (LLM) is an advanced artificial intelligence system trained on vast amounts of text data to understand and generate human-like text. Essential for natural language processing tasks, content generation, and enhancing human-computer interactions across various applications in product design and development.
The systematic approach to managing innovation processes, from idea generation to implementation. Crucial for effectively harnessing creativity and ensuring successful innovation outcomes.
The process of creating and developing new products, focusing on form, function, usability, and aesthetics to meet user needs. Crucial for developing products that are both functional and appealing to users.