CAPM Agile Frameworks and Methodologies Practice Question
A project team is adopting Kanban. They currently have a cycle time of 10 days and a throughput of 5 items per week. The team wants to improve predictability. Which action would most directly help?
⚠ Common exam trap
Many exam-takers confuse improving flow (by adjusting WIP limits) with improving predictability (which requires reducing variability in item size), leading them to choose Option B instead of C.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Make the work items smaller.
Making work items smaller directly reduces variability in cycle time and throughput, which improves predictability in Kanban. Smaller items are easier to estimate, flow more consistently through the system, and reduce the risk of large items blocking the workflow, leading to more reliable delivery forecasts.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Add more team members.
Why it's wrong here
Adding members may increase throughput but does not directly improve predictability of cycle time.
- ✗
Decrease the WIP limits.
Why it's wrong here
While decreasing WIP can improve flow, it does not directly address variability from large items.
- ✓
Make the work items smaller.
Why this is correct
Smaller items reduce variance in size and complexity, leading to more predictable cycle times.
- ✗
Increase the WIP limits.
Why it's wrong here
Increasing WIP can lead to longer cycle times and less predictability.
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