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Top 5 Mistakes Teams Make When Using Time in Status Metrics

Top 5 Mistakes Teams Make When Using Time in Status Metrics

📝 Context:
A team uses Time in Status metrics to understand workflow, identify bottlenecks, and improve efficiency. While the metrics are powerful, common mistakes can lead to confusion, decreased morale, and ineffective decisions if not used properly.

📝 Context:
A team uses Time in Status metrics to understand workflow, identify bottlenecks, and improve efficiency. While the metrics are powerful, common mistakes can lead to confusion, decreased morale, and ineffective decisions if not used properly.

🤔 User Problem:
The team struggles to correctly use Time in Status metrics, leading to skewed data, missed insights, and a focus on individual performance rather than team optimization. There is a lack of understanding about using these metrics to improve workflows without creating unnecessary pressure on team members or relying solely on averages.

🤔 User Problem:
The team struggles to correctly use Time in Status metrics, leading to skewed data, missed insights, and a focus on individual performance rather than team optimization. There is a lack of understanding about using these metrics to improve workflows without creating unnecessary pressure on team members or relying solely on averages.

💡 Solution

Focusing Exclusively on Individual Performance

Mistake

Teams often use Time in Status metrics to measure individual productivity by carefully analyzing how much time a particular person spends on their tasks.

image-20250102-135127.png

Assignee Time report

Why It’s a Problem

This approach can create a culture of blame and micromanagement where team members feel pressured rather than supported. This shifts the focus from cooperation to competition, undermining trust and teamwork.

Solution

Instead of targeting individuals, use Time in Status metrics to analyze team workflows. Identify inefficient processes and areas where collaboration can be improved. Metrics should promote teamwork by highlighting opportunities for process optimization rather than singling out team members.

Additionally, consider using Average Time in Status report to focus on team-level trends rather than individual performance. These reports help pinpoint where bottlenecks occur, such as specific statuses that consistently show delays. Pair averages with contextual analysis to understand why these delays happen. This approach shifts attention from individual accountability to process improvement, fostering a more collaborative and supportive environment.

image-20250102-135144.png

Average Time in Status report

Also, in the Assignee time report, you can group users into teams and see the calculation of time spent by specific subgroups, which can also give you some valuable insights.

Assignee Time report with configurated user group

Neglecting Non-Working Hours

Mistake

Some teams fail to configure their metrics to exclude weekends, holidays, or non-working hours, leading to inflated time calculations.

Why It’s a Problem

Ignoring non-working hours skews the data, making it seem like tasks or tickets take longer to complete than they actually do. This can create false alarms about delays or SLA violations.

Solution

Ensure that your app for tracking Time in Status is configured to exclude non-working hours. Define your team's work schedules in the tool to reflect realistic time frames, allowing you to get accurate metrics and make better decisions.

In the Time in Status app, you can customize the work schedules you need and perform more accurate metrics calculations according to your needs.

The process of setting up work calendars

Lack of Contextual Analysis

Mistake

Focusing only on numbers without delving into the reasons for delays or transitions between statuses.

Why It’s a Problem

Metrics alone cannot explain why a task is stuck in a certain status. Teams risk implementing ineffective solutions or missing critical issues without understanding the context.

Solution

Combine quantitative metrics with qualitative analysis. For example, you can conduct team discussions or retrospectives to identify the root causes of bottlenecks. Use metrics as a starting point for deeper conversations about process improvement.

For example, sprints - most teams work by using them and conducting a retrospective at the end. The Sprint Report from the Time in Status app is well suited for such a process, as it assesses the complex team's work and considers various factors.

Sprint Report

Over-Reliance on Average Times

Mistake

Relying exclusively on average Time in Status metrics to evaluate performance. Reports are helpful, but focusing only on the average is not productive.

Why It’s a Problem

Averages can be misleading because they are sensitive to outliers. For instance, one extremely delayed task can distort the overall metric, masking the typical performance of the team.

Solution

Supplement the average time with other statistics, such as median, percentile, and variance breakdowns. This additional data gives you a clearer picture of team performance and helps you identify specific areas that need attention.

Failing to Update Workflows

Mistake

Outdated or poorly designed workflows no longer reflect the team’s current processes.

Why It’s a Problem

Time in Status metrics depends on the accuracy of the underlying workflow. If workflows are outdated, their metrics are irrelevant or misleading, leading to poor decision-making.

Solution

Regularly review and update your workflows to align with your team’s evolving processes. Involve team members in the review process to ensure realistic and comprehensive workflows. This ensures your metrics remain relevant and actionable.

Time in Status reports are perfect for auditing your workflow. With a regular report, you can identify the duration of tasks in each workflow status; with the Status Count report, for example, you can check how often your statuses are used.

Time in Status report

Status Count report

📈 Outcomes:

  1. Accurate Data: By excluding non-working hours and focusing on team-level metrics, the team ensures the accuracy of their Time in Status calculations, preventing false alarms about delays or performance issues.

  2. Collaborative Improvements: By avoiding the focus on individual performance, the team can analyze workflows holistically, identifying areas for process improvement and promoting collaboration.

  3. Contextual Insights: Teams gain deeper insights into delays by combining metrics with qualitative analysis, such as team retrospectives, ensuring that decisions address root causes of inefficiencies.

  4. Comprehensive Understanding: By supplementing averages with other statistics (e.g., median, variance), the team gets a clearer, more accurate picture of performance, ensuring that outliers don't skew the interpretation of the data.

  5. Relevant Workflows: Regularly reviewing and updating workflows ensures that Time in Status metrics remain relevant and aligned with current processes, leading to more actionable insights and better decision-making.

📈 Outcomes:

  1. Accurate Data: By excluding non-working hours and focusing on team-level metrics, the team ensures the accuracy of their Time in Status calculations, preventing false alarms about delays or performance issues.

  2. Collaborative Improvements: By avoiding the focus on individual performance, the team can analyze workflows holistically, identifying areas for process improvement and promoting collaboration.

  3. Contextual Insights: Teams gain deeper insights into delays by combining metrics with qualitative analysis, such as team retrospectives, ensuring that decisions address root causes of inefficiencies.

  4. Comprehensive Understanding: By supplementing averages with other statistics (e.g., median, variance), the team gets a clearer, more accurate picture of performance, ensuring that outliers don't skew the interpretation of the data.

  5. Relevant Workflows: Regularly reviewing and updating workflows ensures that Time in Status metrics remain relevant and aligned with current processes, leading to more actionable insights and better decision-making.

If you need help or want to ask questions, please contact SaaSJet Support or email us at support@saasjet.atlassian.net

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