Flow Metrics for Forecasting
Understanding flow metrics is essential for accurately forecasting the completion of items in an Agile and Kanban context.
Exam Question
What is the flow metric used to forecast how many items will be done for a date?
(choose the best answer)
A. Cycle time.
B. Work in Progress (WIP).
C. Lead time.
D. Throughput.
Correct Answer
D. Throughput.
Explanation
Correct Answer
D. Throughput:
Throughput is the flow metric used to forecast how many items will be done by a certain date. It measures the number of work items completed in a given time period. By analyzing historical throughput data, teams can estimate how many items they can complete in future sprints or time frames, making it an effective metric for forecasting.
Why the Other Options Are Less Effective
A. Cycle time:
Cycle time measures the amount of time it takes to complete a single item from start to finish. While it is useful for understanding the efficiency of the process, it does not directly help in forecasting the number of items that will be completed by a specific date.
B. Work in Progress (WIP):
WIP measures the number of items that are currently in progress. While managing WIP is crucial for maintaining flow, it does not provide a direct measure for forecasting the completion rate of items.
C. Lead time:
Lead time measures the total time from when a request is made until it is delivered. Like cycle time, it is useful for understanding process efficiency but is not the primary metric for forecasting the number of items completed by a certain date.
Importance of Throughput
- Forecasting: Throughput provides a clear metric for predicting how many items can be completed over a specific period based on historical data.
- Planning: Teams can use throughput data to plan and commit to realistic goals and deadlines.
- Performance Tracking: Monitoring throughput helps teams track their performance and make necessary adjustments to improve efficiency.
How to Use Throughput for Forecasting
- Collect Historical Data: Gather data on the number of items completed in previous sprints or time frames.
- Calculate Average Throughput: Determine the average number of items completed per sprint or time frame.
- Forecast Future Work: Use the average throughput to estimate how many items can be completed by a specific date.
Relevance to the PSK I Exam
Understanding the role of throughput in forecasting is crucial for the PSK I exam. It demonstrates knowledge of key flow metrics and their application in Agile and Kanban practices.
Key Takeaways
- Throughput is the primary metric for forecasting how many items will be completed by a certain date.
- Cycle time, lead time, and WIP are useful for understanding process efficiency but are not directly used for forecasting completion rates.
- Using historical throughput data helps teams plan, set realistic goals, and track performance.
Conclusion
Throughput is the flow metric used to forecast how many items will be done by a certain date. It provides valuable insights for planning and performance tracking in Agile and Kanban practices. For more information on preparing for the PSK I exam, visit our Professional Kanban PSK I™ Exam Prep.
