Issue Cycle Time Breakdown Report
In the quest for streamlined product development, delving deep into each phase's intricacies is mandatory. The Issue Cycle Time Breakdown Report give product owners and scrum master the granularity they seek, enabling a precise understanding of every stage, from implementation to release, thereby unlocking avenues for continuous improvement.
Optimize Your Development Process and Increase Workflow Efficiency
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Issue Cycle Time Breakdown Report
In the quest for streamlined product development, delving deep into each phase's intricacies is mandatory. The Issue Cycle Time Breakdown Report give product owners and scrum master the granularity they seek, enabling a precise understanding of every stage, from implementation to release, thereby unlocking avenues for continuous improvement.
From startups to large enterprises, Keypup serves all the unique complexities related to project size, structure and teams, including:
Exploring the Nuances of the Issue Cycle Time Breakdown
What Is the Issue Cycle Time Breakdown?
The Issue Cycle Time Breakdown provides a detailed breakdown of the duration of each stage of the cycle time per issue. This report serves as a magnifying glass, offering product owners and scrum master a deeper dive into each phase of the product development cycle.
How Is the Issue Cycle Time Breakdown Calculated?
The metric evaluates the time taken by each main development phase: Pickup, Implementation, Testing, and Release. By offering this segmented analysis, it empowers teams to identify, analyze, and optimize each step with laser-focused precision.
How to Improve on this Metric?
Pickup time is high
This may indicate that issues are moved out of the backlog into the "To Do" state too soon. It can be tiring for developers to see a never ending "To Do" column, which keeps piling up.
Make sure to adapt the number of items to be picked up based on the throughput of your team. This will also give more time to your product managers to refine issues before they are put into development.
It may also indicate that the scope of issues is unclear. Developers tend to leave issues they are not sure about into the "To Do" state, until clarifications can be provided. In this case, try to involve engineers into the scoping of issues early on to ensure that the scope makes sense to them at a technical level.
Implementation time is high
A high implementation time may indicate that issues are too large or too complex to implement. In this case it may be worth transforming them into an Epic with smaller tasks. This will result in a more fluid development flow.
A high value may also indicate that engineers are busy on parallel tasks, such as support activities, peer reviews, mentoring etc. In this case it may be worth reviewing the distribution of work between engineers and other members of the team. Can certain tasks be automated to avoid the involvement of engineering?
QA time is high
A high QA time usually indicates a lack of testing automation. The QA team is constantly busy redoing regression testing on a large set of functionalities whenever a new feature is pushed.
If testing automation is not an option (yet) then it may be worth better isolating products and technical components so as to allow the QA team to only perform partial regression testing, which is much faster to perform.
A high value may also indicate that issues are too large and complex to test. In this case it may be worth breaking down issues into smaller tasks that can be easily tested in isolation.
Release time is high
A high release time indicates some slowness in the final preparation tasks before an item is set live. These preparation tasks may be related to deployments, deployment coordination (e.g. dependencies between releases), management approval, pre-release documentation etc.
In this case it may be worth analyzing those post-implementation tasks to evaluate if they (1) add value to the process and (2) if they can be shifted to regular implementation tasks (e.g. documentation).
It may also be worth reviewing the people in charge of those release tasks and make sure clear roles are assigned to people so that there is no ambiguity on who should perform those (pre-)release tasks.