Zeigarnik Effect
A psychological phenomenon where people remember uncompleted or interrupted tasks better than completed tasks. Crucial for designing engaging experiences that leverage task incompletion to maintain user interest.
A psychological phenomenon where people remember uncompleted or interrupted tasks better than completed tasks. Crucial for designing engaging experiences that leverage task incompletion to maintain user interest.
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.
A model predicting the speed-accuracy trade-off in pointing tasks when using devices like a mouse, important for user interface design. Useful for designing user interfaces that are efficient and easy to navigate.
A field research method where researchers observe and interview users in their natural environment to understand their tasks and challenges. Crucial for gaining authentic insights into user behavior and needs.
The path taken by a user to complete a task on a website or application, including all the steps and interactions along the way. Essential for designing intuitive and efficient user experiences.
A unit of measure used in Agile project management to estimate the relative effort required to complete a user story or task. Crucial for planning and managing workload within Agile teams.
Statement of Work (SOW) is a formal document that outlines the scope, objectives, deliverables, and timelines for a project. Essential for defining project expectations and ensuring all parties have a clear understanding of their responsibilities.
Product Requirements is a document that outlines the essential features, functionalities, and constraints of a product. Crucial for guiding the development process and ensuring all stakeholders have a shared understanding of the product's goals.
A statistical method that models the relationship between a dependent variable and one or more independent variables by fitting a linear equation to observed data. Essential for predicting outcomes and understanding relationships between variables in digital product design and analysis.