You're overwhelmed with errors in your automated workflow. How do you decide which ones to tackle first?
When errors overwhelm your automated workflow, prioritizing which to tackle first is crucial for maintaining efficiency. Start by identifying the most impactful issues.
How do you prioritize errors in your workflow?
You're overwhelmed with errors in your automated workflow. How do you decide which ones to tackle first?
When errors overwhelm your automated workflow, prioritizing which to tackle first is crucial for maintaining efficiency. Start by identifying the most impactful issues.
How do you prioritize errors in your workflow?
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When I see errors in my automated tests, I handle them like this: 1. Fix the big stuff first--> If it breaks something big, I fix it first. 2. Handle urgent issues--> If it needs fixing fast, I do it right away. 3. Look for patterns--> I fix errors that happen a lot because they cause the most trouble. 4. Unblock others--> If an error is stopping other tests or workflows, I fix it quickly. 5. Solve the root problem--> I fix what’s really causing the error, not just the symptoms.
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A good and automated Errorhandling can strongly improve an automated process. First of all I would check if it is possible to fix the error permanently. If the error is recurring like e.g. changing masterdata, blocked procedures etc. I would evaluate the complexity and the impact to rate if an automated handling would is valuable.
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Effective error management in automated workflows comes down to smart categorization and impact assessment. Start by logging errors based on their frequency and the business impact they create. High-frequency errors in customer-facing processes need immediate attention, while isolated errors in background tasks can wait. Set up a clear tracking system that monitors error patterns and their effects on operations. This helps create a structured approach to fixing issues - tackle system-wide problems first, then move to specific process errors, and finally address minor glitches. Remember that quick fixes through retries might mask deeper issues, so focus on finding root causes rather than temporary solutions.
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🎯 "Error Avalanche? Focus, Fix, and Flow!" 🛠️ 1️⃣ 🔥 High Impact First: Prioritize errors that halt critical processes or affect a majority of users. 2️⃣ ⏱️ Time-Sensitive Issues: Address errors with deadlines or dependencies for other workflows.
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To prioritize error handling, I start to look at the criticality of a pain point (which one hurts the most if it's not being fixed, e.g. regarding time, cost), followed by the impact (which one has lots of entities involved, e.g. follow-up processes, employees), and further criteria such as loss in (data) quality, limitation of process flexibility or reduction of employee satisfaction.
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Start by assessing the impact of each error. Which ones are causing the most significant disruptions or financial losses? These should top your list. Next, consider the frequency. Recurring issues often indicate systemic problems that, when solved, can prevent multiple future errors. Look for quick wins. Sometimes, simple fixes can resolve multiple issues, giving you breathing room to tackle larger problems. Don't forget to involve your team. Their insights can be invaluable in identifying critical issues you might have overlooked. Remember, automation is an ongoing process. Regularly review and refine your workflow to stay ahead of potential errors. Ready to dive in? Which error will you tackle first?
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When errors happen I will go to the error log 1st to identify the source of the error because you need to fix the cause at the source and if you have multiple automation you need the shortest rout to the cause, plus most error is because of a knock-on effect of the original error
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First of all, when errors in the automated workflow starts to occur, I would cross-check what changed in the process entities last. Of course I am imagine you have implemented and end-to-end devops environment every system has to use, so you know what changed last when the errors started to occur. What is needed to fix the issues, is a prioritization on severity of the issue, like business impact, which leads to a priority, then add a complexity matrix on the errors. If possible group the errors absed similarity.
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