DACI Framework
Drivers, Approvers, Contributors, and Informed (DACI) is a responsibility assignment framework that clarifies roles and responsibilities. Essential for making clear and effective decisions in collaborative environments.
Drivers, Approvers, Contributors, and Informed (DACI) is a responsibility assignment framework that clarifies roles and responsibilities. Essential for making clear and effective decisions in collaborative environments.
A method where a document or proposal is limited to one page and created within one hour to ensure clarity and focus. Crucial for efficient communication and decision-making.
Explainable AI (XAI) are AI systems that provide clear and understandable explanations for their decisions and actions. This transparency is crucial for building trust and confidence in AI applications across various domains.
A phenomenon where individuals' preferences between options change when the options are presented in different ways or contexts. Important for understanding and designing around inconsistencies in user choices.
The Principle of Choices is an information architecture guideline that emphasizes providing users with meaningful options to navigate and interact with a system. Crucial for enhancing user experience by ensuring users can easily find what they need without being overwhelmed.
A cognitive bias where decision-making is affected by the lack of information or uncertainty. Important for understanding and mitigating user decision-making biases due to uncertainty or lack of information.
A philosophy that emphasizes reason and logic as the primary sources of knowledge and truth. Useful for understanding the foundations of logical thinking and decision-making in design and development.
The way information is presented to users, which can significantly influence their decisions and perceptions. Important for designing messages and interfaces that guide user choices effectively.
The perception of a relationship between two variables when no such relationship exists. Crucial for understanding and avoiding biases in data interpretation and decision-making.
Return on Investment (ROI) is a performance measure used to evaluate the efficiency or profitability of an investment or compare the efficiency of different investments. Crucial for assessing the financial effectiveness of business decisions, projects, or initiatives.
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.
Information Visualization (InfoVis) is the study and practice of visual representations of abstract data to reinforce human cognition. Crucial for transforming complex data into intuitive visual formats, enabling faster insights and better decision-making.
Mutually Exclusive, Collectively Exhaustive (MECE) is a problem-solving framework ensuring that categories are mutually exclusive and collectively exhaustive, avoiding overlaps and gaps. Essential for structured thinking and comprehensive analysis in problem-solving.
A strategic planning technique that uses visual maps to align activities with business goals and user needs. Essential for ensuring that development efforts are aligned with strategic objectives.
Situation-Complication-Resolution (SCR) is a communication and problem-solving framework used to structure information clearly and logically. Crucial for effectively conveying complex ideas and solutions in business and design contexts.