Planning Poker
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.
13 topics found for:
“task estimation”
Fibonacci Agile Estimation
A technique used in agile project management where tasks are estimated using the Fibonacci sequence to reflect the uncertainty and complexity of work. Essential for accurate and realistic task estimation in agile methodologies.
T-Shirt Sizing
A relative estimation technique used in Agile project management to quickly assess the size and complexity of tasks by assigning them T-shirt sizes (e.g., small, medium, large). Crucial for efficient project planning and workload management.
Story Points
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.
Backlog Grooming
The process of reviewing, prioritizing, and updating items in the backlog to ensure they are ready for development. Crucial for maintaining an organized and prioritized list of tasks to improve project efficiency.
Sprint Planning
A meeting where the Agile team discusses and decides what tasks will be completed in the upcoming sprint, establishing a clear plan for the sprint's duration. Crucial for ensuring the team is aligned and has a clear understanding of the work to be done in the sprint.
Fibonacci Sequence
A series of numbers where each number is the sum of the two preceding ones, creating a pattern found in nature and various fields. Useful for understanding natural growth patterns, efficient estimation techniques, and its relationship to the aesthetically pleasing Golden Ratio.
Planning Fallacy
A cognitive bias where individuals underestimate the time, costs, and risks of future actions while overestimating the benefits. Important for realistic project planning and setting achievable goals for designers.
DEEP Backlog
Detailed, Estimated, Emergent, and Prioritized (DEEP) is an agile project management framework for a well-maintained product backlog. Important for maintaining a clear and actionable backlog in agile methodologies.
Hofstadter’s Law
A principle that states tasks always take longer than expected, even when considering Hofstadter's Law itself. Important for setting realistic project timelines and managing expectations in digital product development.
Logistic Regression
A statistical method used to predict a binary outcome based on prior observations, modeling the probability of an event as a function of independent variables. Essential for predicting categorical outcomes in digital product analysis and user behavior modeling.
Linear Regression
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.
Train/Test
A method of splitting a dataset into two subsets: one for training a model and another for testing its performance. Fundamental for developing and evaluating machine learning models in digital product design.