
From startups to large enterprises, Keypup serves all the unique complexities related to project size, structure and teams, including:
This Chart Insight provides the number of items in a given (list of) status at a given date, with moved in/out trends.
It can be used to:
- Identify Bottlenecks: By tracking the number of issues in each status over time, you can identify stages in your workflow where issues are consistently accumulating. For example, if the number of issues in "In Review" is consistently high, it indicates a potential bottleneck in the code review process. Similarly, a backlog of issues in "Waiting for QA" might suggest a shortage of QA resources or delays in the testing process.
- Monitor Workflow Health: The historical status data provides a visual representation of the overall health of your workflow. You can quickly see if issues are flowing smoothly through the system or if they are getting stuck in certain stages. A healthy workflow will typically have a relatively balanced distribution of issues across different statuses.
- Assess the Impact of Changes: If you make changes to your workflow (e.g., adding a new status, modifying the criteria for moving between statuses), you can use the historical status data to assess the impact of those changes. Did the changes improve efficiency, or did they create new bottlenecks?
- Understand Team Capacity and Workload: By analyzing the number of issues in each status, you can gain insights into team capacity and workload. For example, if the number of issues in "In Progress" is consistently high, it might indicate that developers are overloaded. Conversely, a low number of issues in "In Progress" might suggest that developers have spare capacity.
- Track Trends Over Time: Monitoring the historical status data over time allows you to identify trends and patterns in your workflow. For example, you might notice that the number of bugs reported increases during certain periods of the year or that the time it takes to resolve issues is increasing over time.
- Measure Service Level Agreements (SLAs): If you have SLAs for issue resolution, you can use the historical status data to track compliance with those SLAs. For example, you can measure the percentage of issues that are resolved within a specific timeframe.
- Support Process Improvement: The historical status data provides a foundation for data-driven process improvement. By analyzing the data, you can identify areas where the workflow can be optimized and implement changes to improve efficiency and reduce bottlenecks. You can then track the impact of those changes using the historical status data.