TL;DR: Backlog grading helps IT teams prioritise repetitive work using task scoring and a separate problem score, because manual friction wastes time and broken prioritisation keeps urgent noise ahead of real automation candidates, according to JumpCloud. The key insight is that automation only helps when the underlying process is stable enough to support it.
Editorial analysis by NHI Mgmt Group, based on content published by JumpCloud: “How to Grade Your IT Backlog and Pick What to Automate First”.
Key questions
Q: How should IT teams decide which operational tasks to automate first?
A: Start with routine, repetitive work that consumes time but adds little strategic value, such as IT tickets, password resets, access requests, and basic onboarding tasks.
Q: Why do some automation projects fail even when the task looks simple?
A: They fail when the underlying process is unstable, undocumented, or full of exceptions.
Q: How do you know when a backlog issue should be redesigned instead of automated?
A: If the issue reflects a systemic problem such as repeated onboarding delays, constant service desk churn, or unclear handoffs, it belongs in process redesign first.
Practitioner guidance
- Score repetitive IT tasks by repeatability Assess complexity, frequency, human error risk, and implementation effort for each recurring task so the team can identify automation candidates that are stable, high-volume, and low-friction.
- Separate workflow candidates from process problems Create one queue for repeatable tasks that can be automated and a second queue for systemic issues that need redesign before any automation is attempted.
- Validate process stability before automating Document inputs, steps, and exception-handling logic before a task enters the automation pipeline, so the workflow is controlled instead of merely accelerated.
Bottom line: Backlog grading helps teams stop prioritising by noise and start prioritising by repeatability, which is the right lens for automation.
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Backlog grading is a governance discipline, not a productivity trick. The article is right to treat automation as something that should be earned through repeatability, not granted because a team is busy. In identity operations, the same logic applies to joiner-mover-leaver workflows, access reviews, and entitlement cleanup: if the process is not stable, automation only scales the mess. The practitioner takeaway is to prioritise the most repeatable work first, not the loudest work.
A question worth separating out:
Q: What is the difference between task scoring and problem scoring?
A: Task scoring ranks individual items by how suitable they are for automation. Problem scoring ranks bigger operational issues by impact, likelihood, and cost. The first is useful for queue management, while the second helps teams decide which recurring governance or service problems deserve engineering time first.
👉 Read our full editorial: Backlog grading shows why automation should start with repeatable tasks