In this flow, you'll learn how to spot signs of technical debt and bottlenecks within your sprints. Analyzing metrics such as carryover tasks and completion rates will uncover areas where work is piling up, potentially slowing your team down. This guide helps you identify these roadblocks early, enabling you to keep projects on track.
Step 1: Select the Date Range
Let's analyze carryover and carryover (2+) tasks over a period of 90 days.
- How:Use the Date Filter to analyze performance over 90 days. Make sure to select the Carryover or Carryover (2+) metric.
- What to Look For: Detect trends in carryover tasks, especially those carried over for more than two sprints.
Step 2: Filter by Squad or Player
If you've detected an upward trend, it's important to investigate further to identify a specific team or individual bottlenecks.
- How:Apply the Squad or Player Filter to zoom in on specific teams or individuals to pinpoint where bottlenecks might be occurring.
- What to Look For: Check if specific squads or team members consistently have high carryover tasks.
- Why: Bottlenecks might be team-specific or arise from individual team members taking on too much, requiring better workload balancing.
Step 3: Analyze Task Completion
It's not possible to address the issues of technical debt by analyzing just carryover tasks. Let's look at task completion rates over a period of 90 days or more.
- How:Use the Completed Tasks metric over a period of 90 days.
- What to Look For: Identify sprints where the completion rate dropped or carryover increased. Pay attention to spikes in tasks carried over for more than two sprints.
- Why: Trends in declining completion rates or rising carryover can signal misaligned priorities or overplanning, where too many new features are prioritized at the cost of clearing existing tasks or technical debt.
Tip:Hover over the bar charts in the visual representation to compare percentage differences between sprints, which can give insights into how performance fluctuated over time.