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Questions and Answers
What does team velocity measure in a scrum team?
What does team velocity measure in a scrum team?
- The average amount of completed tasks per sprint (correct)
- The average time to complete each project phase
- The percentage of tasks completed against the backlog
- The time it takes to deliver a project to clients
Which metric focuses on how long it takes to deliver a task after initiation?
Which metric focuses on how long it takes to deliver a task after initiation?
- Time to market
- Cycle time
- Lead time (correct)
- Project progress
What does effect density measure in a development context?
What does effect density measure in a development context?
- The quality of the code changes made
- The number of defects per unit of development (correct)
- The number of successful user interactions
- The rate of task completion in sprints
What is the significance of UI load speed as a metric?
What is the significance of UI load speed as a metric?
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Which metric assesses the accuracy and completeness of data used in a project?
Which metric assesses the accuracy and completeness of data used in a project?
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Study Notes
Development Metrics Overview
- Project Progress: Measures the percentage of completed tasks against the project backlog, providing insight into overall completion status.
- Cycle Time: Average duration to finish one development cycle within a sprint, highlighting efficiency in the development process.
- Lead Time: Total time from task initiation to delivery, indicating responsiveness to feature requests and task management.
- Team Velocity: Average amount of work (measured in story points) completed by the scrum team per sprint, used to predict future sprint capacity.
Quality and Performance Metrics
- Effect Density: Number of defects identified per unit of development output, crucial for gauging software quality.
- Code Churn: Rate at which code is changed, reflecting stability versus instability in codebase over time.
User Experience Metrics
- UI Load Speed: Average time for user interface elements to load, impacting user satisfaction and engagement.
- Error Rate: Percentage of user interactions that result in errors, essential for understanding user experience issues.
Data Integrity Metrics
- Data Accuracy and Completeness: Measures focusing on integrity and thoroughness of data used within the project, vital for decision-making processes.
Market and User Engagement Metrics
- Time to Market: Duration from project initiation to the release of the first product version, critical for competitive positioning.
- Customer Experience Metrics: Assess satisfaction levels of end users, influencing future design and development decisions.
- User Engagement: Indicates the level at which users interact with the project output, essential for evaluating product impact.
- Feature Adoption Rate: Speed with which users begin utilizing new features post-release, signifying the effectiveness of new implementations.
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