Dependency Management
The process of identifying, assessing, and controlling dependencies between tasks or projects to minimize risks and ensure smooth project execution. Crucial for effective project management and delivery.
The process of identifying, assessing, and controlling dependencies between tasks or projects to minimize risks and ensure smooth project execution. Crucial for effective project management and delivery.
A tendency to avoid making decisions that might lead to regret, influencing risk-taking and decision-making behaviors. Crucial for understanding decision-making processes and designing systems that minimize regret.
The process of identifying, assessing, and mitigating potential threats that could impact the success of a digital product, including usability issues, technical failures, and user data security. Essential for maintaining product reliability, user satisfaction, and data protection, while minimizing the impact of potential design and development challenges.
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.
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.
The planning and preparation to ensure that an organization can continue to operate in case of serious incidents or disasters. Crucial for minimizing disruptions and maintaining critical functions during and after unexpected events.
A phenomenon where group members make decisions that are more extreme than the initial inclination of its members due to group discussions and interactions. Crucial for understanding and mitigating the risks of extreme decision-making in group settings.
A phenomenon where the winner of an auction tends to overpay due to emotional competition, leading to a less favorable outcome than anticipated. Important for understanding decision-making biases and designing systems that mitigate overbidding risks.
Designing systems and processes to effectively respond to and manage crises, ensuring resilience and quick recovery. Crucial for preparing for unexpected events and minimizing their impact.
A cognitive bias where the pain of losing is psychologically more powerful than the pleasure of gaining. Important for designing user experiences that account for and mitigate loss aversion.
Minimum Viable Product (MVP) is a version of a product with just enough features to be usable by early customers who can then provide feedback for future product development. Essential for validating product ideas quickly and cost-effectively, allowing teams to learn about customer needs without fully developing the product.
Strengths, Weaknesses, Opportunities, and Threats (SWOT) is a strategic planning tool that is applied to a business or project. Essential for strategic planning and decision-making.
A Japanese term for "mistake-proofing," referring to any mechanism or process that helps prevent errors by design. Crucial for designing systems and processes that minimize the risk of human error.
A technique used in software development to enable or disable features in a production environment without deploying new code, allowing for controlled feature rollouts. Essential for managing feature releases and testing in live environments.
The process of testing and evaluating a design to ensure it meets user needs and business goals before final implementation. Crucial for ensuring that designs are effective and meet intended objectives.
A marketing strategy that involves releasing a product to a limited audience to evaluate its market performance before a full-scale launch. Important for assessing market response, identifying potential issues, and refining digital products before a wider release.
The process of determining whether there is a need or demand for a product in the target market, often through testing and feedback. Crucial for ensuring that a product will meet market needs and be successful.
An environment closer to production where final testing and validation occur. Crucial for ensuring that products are ready for production deployment.
The process of quickly creating a preliminary version of a product to test and validate ideas before full-scale development. Important for validating design concepts and gathering user feedback early.
A method used in AI and machine learning to ensure prompts and inputs are designed to produce the desired outcomes. Essential for improving the accuracy and relevance of AI responses.
Proof of Concept (PoC) is a demonstration, usually in the form of a prototype or pilot project, to verify that a concept or theory has practical potential. Crucial for validating ideas, demonstrating feasibility, and securing support for further development in product design and innovation processes.
A non-production environment used for development and testing before deployment to production. Important for ensuring that changes are thoroughly tested before going live.
The systematic identification, analysis, planning, and implementation of actions designed to engage and influence stakeholders in a project. Crucial for maintaining positive relationships and ensuring stakeholder support throughout the project lifecycle.
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 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.
The process of overseeing and coordinating the development, testing, and deployment of software releases to ensure they are delivered efficiently and effectively. Essential for managing software development cycles and ensuring successful product releases.
The process of creating an early model of a product to test and validate ideas, features, and design choices before full-scale production. Essential for validating design choices and gathering user feedback early in the development process.