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Questions and Answers
What does 'team velocity' measure in a Scrum context?
What does 'team velocity' measure in a Scrum context?
- The percentage of completed tasks compared to the project backlog
- The time taken to complete a task from initiation to delivery
- The average amount of work completed by the Scrum team in a sprint (correct)
- The average time it takes for the user interface to load
Which metric assesses the time taken from when a task is requested to when it is delivered?
Which metric assesses the time taken from when a task is requested to when it is delivered?
- Cycle time
- Project progress
- Error rate
- Lead time (correct)
What is measured by 'effect density' in development?
What is measured by 'effect density' in development?
- The average load time of the user interface
- The number of defects identified per unit of development (correct)
- The percentage of successful user interactions
- The rate at which code is rewritten
Which metric would most likely indicate the quality of the user interface?
Which metric would most likely indicate the quality of the user interface?
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What does the 'feature adoption rate' measure in a software product?
What does the 'feature adoption rate' measure in a software product?
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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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