Issue Implementation Time Metric
The backbone of every product development process are the implementation steps. But how long do these implementation steps take? Are the timings consistents or do issues have varying complexity? The Implementation Time metric allows leaders and managers to answers those questions and monitor the pace and efficiency of the implementation process.
Increase Product Feature Implementation Efficiency
with the
Issue Implementation Time Metric
The backbone of every product development process are the implementation steps. But how long do these implementation steps take? Are the timings consistents or do issues have varying complexity? The Implementation Time metric allows leaders and managers to answers those questions and monitor the pace and efficiency of the implementation process.
From startups to large enterprises, Keypup serves all the unique complexities related to project size, structure and teams, including:
What is the Issue Implementation Time Metric?
The Implementation Time metric calculates the average duration an issue remains in "In Progress"-like statuses (the list of statuses is configurable). Product teams are recommended to reduce and maintain the implementation time to keep a consistent throughput and make their delivery pipeline predictable.
Strategies to Reduce the Issue Implementation Time
Add sufficient details and examples to issues
Issues with insufficient details generate back & forth between the engineering team and the product team, leading to increased development times. Confusing scopes may even push engineers in the wrong direction, forcing them to start from scratch once things have been clarified.
Reduce the complexity of issues
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.
Keep your engineers focused on their priorities
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?