Product Stack
A combination of software tools, technologies, and services used to develop, manage, and deliver a product. Crucial for understanding the infrastructure that supports product development and management.
72 topics found for:
“product robustness”
Higher Environment
An environment closer to production where final testing and validation occur. Crucial for ensuring that products are ready for production deployment.
Red Teaming
A strategy where a team plays the role of an adversary to identify vulnerabilities and improve the security and robustness of a system. Crucial for testing the resilience of digital products and identifying areas for improvement.
Product Strategy
Product Strategy is a framework that outlines how a product will achieve its business goals and satisfy customer needs. Crucial for guiding product development, prioritizing features, and aligning the team around a clear vision.
Product Planning
The process of defining a product's objectives, strategy, and roadmap, ensuring alignment with market needs and business goals. Important for setting a clear direction for product development and ensuring strategic alignment.
Product Architecture
The structural design of a product, defining its components, their relationships, and how they interact to fulfill the product's purpose. Important for ensuring that a product is well-organized, scalable, and maintainable.
Product Operating Model
A framework that outlines how a product is developed, managed, and delivered, including roles, processes, and tools used throughout its lifecycle. Crucial for ensuring efficient and effective product management and development.
Production Environment
The setting where software and systems are actually put into operation for their intended use. Essential for ensuring that products are fully functional and meet user requirements in a real-world setting.
Shift-Right Testing
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.
Burn-In
The process of running a system for an extended period to detect early failures and ensure reliability. Important for ensuring the stability and performance of digital products before full-scale deployment.
ModelOps
ModelOps (Model Operations) is a set of practices for deploying, monitoring, and maintaining machine learning models in production environments. Crucial for ensuring the reliability, scalability, and performance of AI systems throughout their lifecycle, bridging the gap between model development and operational implementation.
Scalability
The ability of a system, product, or process to handle increased loads or expand without compromising performance or efficiency. Essential for ensuring that products and systems can grow and adapt to increasing demands.
Application Architecture
The high-level structure of a software application, defining its components and their interactions. Essential for designing robust, scalable, and maintainable digital products.
Hotfix
A quick and often temporary fix applied to a software product to address an urgent issue without going through the full development cycle. Essential for maintaining the stability and functionality of digital products in the face of critical issues.
Blue/Green Deployment
A deployment strategy that reduces downtime and risk by running two identical production environments, switching traffic between them. Crucial for ensuring seamless updates and minimizing disruptions in digital product deployment.
Confidence Interval
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.
Business Logic
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.
White Box Testing
A testing method that examines the internal structure, design, and coding of a software application to verify its functionality. Essential for ensuring the correctness and efficiency of the code in digital product development.
Full-Stack Developer
A developer proficient in both front-end and back-end technologies, capable of building complete web applications. Crucial for delivering comprehensive and cohesive digital products by managing both user interface and server-side components.
SMART Goals
Specific, Measurable, Achievable, Relevant, and Time-bound (SMART) Goals are a framework for setting and achieving clear objectives. Essential for setting clear and actionable objectives in personal and professional contexts.
Repository
A central location where data is stored and managed. Important for ensuring data consistency, accessibility, and integrity in digital products.
Canary Testing
A deployment strategy where a new version is released to a small subset of users to detect any issues before a full rollout. Crucial for minimizing risk and ensuring the stability of digital products during updates and deployments.
Build Server
A server dedicated to automating the process of building and compiling code, running tests, and generating software artifacts. Crucial for ensuring continuous integration and maintaining the integrity of the codebase in digital product development.
Middleware
Software that acts as an intermediary between different systems or applications, enabling them to communicate and function together. Crucial for integrating various components and ensuring seamless interaction within digital products.
IDE
Integrated Development Environment (IDE) is a software suite that combines tools like code editors, debuggers, and compilers. Essential for improving developer productivity and ensuring efficient and error-free coding practices.
Central Limit Theorem
A statistical theory that states that the distribution of sample means approximates a normal distribution as the sample size becomes larger, regardless of the population's distribution. Important for making inferences about population parameters and ensuring the validity of statistical tests in digital product design.
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.
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.
Front-End Framework
A collection of pre-written code and tools that provide a foundation for building the front end of websites and applications, such as Bootstrap or React. Crucial for streamlining the development process and ensuring consistency.
Platform Team
A team responsible for developing and maintaining the foundational systems and services that support other teams and products. Crucial for ensuring scalability and efficiency across the organization.
Social Proof
A psychological phenomenon where people follow the actions of others in an attempt to reflect correct behavior for a given situation. Essential for designing interfaces and experiences that leverage social influence to guide user behavior and increase trust and engagement.
Cybersecurity
The practice of protecting systems, networks, and programs from digital attacks, unauthorized access, and data breaches. Essential for safeguarding sensitive information, maintaining user trust, and ensuring the integrity and functionality of digital products and services.
Cross Validation
A statistical method used to assess the generalizability of a model to unseen data, involving partitioning a dataset into subsets for training and validation. Essential for evaluating model performance and preventing overfitting in digital product analytics.
Privacy by Design
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.
Pro-Innovation Bias
The tendency to overvalue new innovations and technologies while undervaluing existing or traditional approaches. Important for balanced decision-making and avoiding unnecessary risks in adopting new technologies.
Smoke Testing
A preliminary testing method to check whether the most crucial functions of a software application work, without going into finer details. Important for identifying major issues early in the development process and ensuring the stability of digital products.
Graceful Degradation
A design principle that ensures a system continues to function at a reduced level rather than completely failing when some part of it goes wrong. Crucial for enhancing system reliability and user experience in adverse conditions.
Seamless Integration
The process of combining different systems or components in a way that ensures they work together smoothly and efficiently without disruptions. Essential for providing a cohesive user experience and ensuring the reliability of complex systems.
Progressive Enhancement
A design approach that focuses on building a robust core experience first, then adding more advanced features and capabilities for users with more capable browsers or devices. Essential for ensuring a consistent and accessible user experience across different devices and browsers.
POUR
Perceivable, Operable, Understandable, and Robust (POUR) are the four main principles of web accessibility. These principles are essential for creating inclusive digital experiences that can be accessed and used by people with a wide range of abilities and disabilities.
Look Elsewhere Effect
A statistical phenomenon where a large number of hypotheses are tested, increasing the chance of a rare event being observed. Crucial for understanding and avoiding false positives in data analysis.
Friend Spam
A dark pattern where the product asks for the user's social media or email credentials and then spams all the user's contacts. Recognizing the harm of this practice is important to protect user trust and avoid spamming their contacts.
Shift-Left Testing
A practice of performing testing activities earlier in the software development lifecycle to identify and address issues sooner. Essential for improving software quality, reducing defects, and accelerating development cycles in digital product design.
DAM
Digital Asset Management (DAM) is a system that stores, organizes, and manages digital assets, such as images, videos, and documents. Essential for maintaining and leveraging digital content efficiently in product design and marketing.
Scaling Fallacy
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.
Control Framework
A set of standards and guidelines used to ensure the integrity, security, and compliance of business processes and IT systems. Important for establishing robust governance and control mechanisms in digital product design and development.
5 Whys
A problem-solving method that involves asking "why" five times to identify the root cause of a problem. Useful for designers and product managers to uncover underlying issues and improve processes and solutions.
12-Factor App
A methodology for building software-as-a-service apps that emphasizes best practices for development, deployment, and scalability. Important for creating scalable, maintainable, and efficient digital products.
m12n
Numeronym for the word "Modularization" (M + 12 letters + N), dividing a system into separate, interchangeable modules that can be developed, tested, and maintained independently. Important for improving maintainability and scalability of systems.
Lead Generation
The process of attracting and converting strangers and prospects into someone who has indicated interest in your company's product or service. Essential for building a sales pipeline and driving business growth.
Static Testing
A testing method that examines the code, documentation, and requirements without executing the program. Important for identifying defects early in the development lifecycle, improving the quality and reducing the cost of digital products.
Soak Testing
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.
Color Accessibility
Ensuring that color choices in design are inclusive and usable by people with color vision deficiencies. Crucial for creating accessible and inclusive designs.
CBR
Case-Based Reasoning (CBR) is an AI method that solves new problems based on the solutions of similar past problems. This approach is essential for developing intelligent systems that learn from past experiences to improve problem-solving capabilities.
Behavioral Insights
Practical applications of behavioral science to understand and influence human behavior in various contexts. Crucial for applying scientific insights to design and improve user experiences and outcomes.
Paper Prototyping
A method of creating and testing user interfaces using hand-drawn sketches and mockups on paper. Essential for early-stage design validation and gathering user feedback.
Outliers
Data points that differ significantly from other observations and may indicate variability in a measurement, experimental errors, or novelty. Crucial for identifying anomalies and ensuring the accuracy and reliability of data in digital product design.
ERD
Entity Relationship Diagram (ERD) is a visual representation of the relationships between entities in a database. Essential for designing and understanding the data structure and relationships within digital products.
Empirical Rule
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.
Deductive Research
A research approach that starts with a theory or hypothesis and uses data to test it, often moving from general to specific. Essential for validating theories and making informed decisions based on data.