My main use case for Allstacks is to track KPIs, to track performance reviews for the team, and also get metrics for the Scrum teams, while also tracking goals for the company in Allstacks. In our recent project, we are using Allstacks to track our 2025 goals. For example, we track the hours worked by value area, hours worked for planned versus unplanned work. We also have tracking of tickets closed in the last 90 days, along with bounce backs tracking such as issues completed with bounce back by team, issues completed by team, story pointing, and closed tickets by story point value. We monitor the backlog health and metrics related to open items created in the past. These are the main KPIs that we are tracking. We track how the team performs on every single iteration, where we monitor the commitments for the sprints, how many items we have completed, removed, or added during the sprint. Additionally, we track code efficiency to see metrics related to whether the team is actively contributing code, the team's coding days per week, the merged pull requests, how many pull requests we have per week, and the type of code that the team is committing such as new work, legacy, library, or churn code. We also observe whether we are helping other teams or commenting in tickets, and we consider the time spent on PR, how much time a PR is in team status or is closed, along with the number of pull requests that the team is merging per week. These are the metrics that we use with my team.
My main use case for Allstacks is to track engineering performance and productivity. I use it to visualize team performance metrics and project progress. Recently, I used Allstacks to track the sprint, which visualizes pull request cycle times and lets me see bottlenecks to deliver on time. Beyond productivity, I rely on Allstacks for forecasting delivery timelines, which keeps both my team and stakeholders aligned.
Allstacks is a powerful tool designed for engineering analytics and outcomes forecasting, offering valuable insights into software development processes to enhance productivity and project delivery.Allstacks provides comprehensive metrics, derived from data across engineering workflows, enabling teams to understand their development lifecycle better. Users gain actionable insights through trend analysis and predictive forecasting, which help identify potential risks and streamline operations....
My main use case for Allstacks is to track KPIs, to track performance reviews for the team, and also get metrics for the Scrum teams, while also tracking goals for the company in Allstacks. In our recent project, we are using Allstacks to track our 2025 goals. For example, we track the hours worked by value area, hours worked for planned versus unplanned work. We also have tracking of tickets closed in the last 90 days, along with bounce backs tracking such as issues completed with bounce back by team, issues completed by team, story pointing, and closed tickets by story point value. We monitor the backlog health and metrics related to open items created in the past. These are the main KPIs that we are tracking. We track how the team performs on every single iteration, where we monitor the commitments for the sprints, how many items we have completed, removed, or added during the sprint. Additionally, we track code efficiency to see metrics related to whether the team is actively contributing code, the team's coding days per week, the merged pull requests, how many pull requests we have per week, and the type of code that the team is committing such as new work, legacy, library, or churn code. We also observe whether we are helping other teams or commenting in tickets, and we consider the time spent on PR, how much time a PR is in team status or is closed, along with the number of pull requests that the team is merging per week. These are the metrics that we use with my team.
My main use case for Allstacks is to track engineering performance and productivity. I use it to visualize team performance metrics and project progress. Recently, I used Allstacks to track the sprint, which visualizes pull request cycle times and lets me see bottlenecks to deliver on time. Beyond productivity, I rely on Allstacks for forecasting delivery timelines, which keeps both my team and stakeholders aligned.