Metric: Velocity / Throughput
Goal: Predictability (=>90%), the upward trend over time for the velocity/throughput numbers.
Description:
Can be performed with the help of Jira report – compares commitment vs completed tasks or story points. Helps the Team decide how many tasks they may forecast for the current Sprint. Helps Product Owners to gauge how quickly a team may work through the backlog (predictability). In order to track velocity, teams need to be using a particular measure (story points, ideal days, etc.) Drawback: it’s not always accurate for future prognosis, depending on many unstable factors.
Metric: Time to production (Cycle time)
Goal: As short as possible, without sacrificing quality or business value.
Description:
Cycle time measures the time from “In Progress – to – Done”. By tracking and analyzing the Cycle Time, it is easy to identify bottlenecks in the process and decrease time to production.
Metric: Escaped Defects
Goal: 0 escaped defects
Description:
This metric track the number of issues/bugs that “escaped“ our testing cycle and were found by client/customers. This can be tracked on Jira by introducing and using a particular field in “Bug“ issue type. e.g Found by customer/Escaped Defect – Yes/No. Every “escaped defect“ should prompt improvements to our test cycles/environments/automated tests.
Metric: On-Time/On Budget/On Scope
Goal: Achieve/exceed expectations
Description: Each team should track their schedule, scope, and budget constraints, and take necessary actions in case of missing. Analyzing the issues with those needs to lead to a retrospective outcome of which need to be action points that would help us prevent such situations in the future.
Metric: Customer Satisfaction Score
Goal: 10 / highest score possible
Description:
We need to satisfy the needs of our customers, therefore the best way to measure our productivity is to ask our customers. This can be done on a regular basis, by asking our client to rate the team’s performance on a scale of 1-10, or in a form of an NPS score (how likely would you be to recommend CheITGroup?).
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