How Might We
A brainstorming technique that frames problems as opportunities for innovation, starting with the phrase "How might we...?".
A brainstorming technique that frames problems as opportunities for innovation, starting with the phrase "How might we...?".
Mutually Exclusive, Collectively Exhaustive (MECE) is a problem-solving framework ensuring that categories are mutually exclusive and collectively exhaustive, avoiding overlaps and gaps.
The systematic approach to managing innovation processes, from idea generation to implementation.
Generative Pre-trained Transformer (GPT) is a type of AI model that uses deep learning to generate human-like text based on given input.
The process of creating or enhancing a community among individuals with common interests, goals, or values.
A framework that explores the structure and function of stories and how they influence human cognition and behavior.
Information Visualization (InfoVis) is the study and practice of visual representations of abstract data to reinforce human cognition.
The process where design services and outputs become standardized and interchangeable, often leading to competition based primarily on price rather than quality or creativity.
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.