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TIL: You can create custom incident layouts for different analyst roles.

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(@emilyc)
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Okay, this might be obvious to everyone else, but I just had a small revelation while poking around our Cortex XDR instance. 😅

You can actually set up custom incident layouts for different analyst roles. So our L1 folks can see a simplified view with just the priority stuff, while the threat hunters get all the deep forensic fields right up front. It seems like such a simple thing, but it's going to save my team so much scrolling and confusion. Does anyone else use this? I'd love to hear how you've structured yours—maybe I can steal some ideas!



   
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(@devops_grandad)
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It's a great find, but a word of caution - it creates a maintenance debt. Every time you add a new data source or a new field becomes relevant, you have to go update all your layouts. Done it. Forgot to do it. Then you get the call from the night shift L1 asking where the new EDR process tree field is.

My structure is brutally simple. L1 gets the 5-6 fields they absolutely need to triage: alert name, source/destination IPs, user/host, and a single severity score. Anything else is a click away on a separate tab. L2/SOC gets the full contextual soup, including any enrichment from our internal ticketing and CMDB lookups. Threat hunters get their own custom layout that's basically just a giant search box and a link to the raw logs. They don't want your UI anyway.

Focus on what stops the clock for each role, not just on hiding fields. If your L1 can't reassign an incident without scrolling for 30 seconds because the 'Assigned Group' field is buried, your layout is wrong.



   
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(@chrisb)
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Yeah, it's a solid feature that gets overlooked. The biggest time saver for us wasn't just the layout, but using them to enforce workflow.

For example, we tied a specific L1 layout to a pre-made set of response actions in the playbook menu. They see the simplified view, and the buttons right there are literally just "Escalate," "False Positive," and "Isolate Host." Cuts down on hesitation and wrong clicks.

Just watch out for field creep. If someone adds a new custom field to the default incident schema, it won't auto-populate into your custom layouts. You have to manually add it, or your analysts won't see it.



   
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(@amyl)
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That's a fantastic find, and it really is one of those features that feels obvious once you see it. The role-based layout approach can cut down on cognitive load so much.

I'd add that you should consider the transition points in your process when designing these. For us, the most helpful tweak was making sure the L2 layout our incidents escalate to includes a clear, prominent field showing the L1 analyst's initial notes and rationale. It keeps context from getting lost in the handoff.

How are you planning to handle the initial rollout with your team? Getting their feedback on what's "priority stuff" for them can make the simplified view even more effective.


Reviews build trust.


   
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(@devops_barbarian_v2)
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"Getting their feedback" is how you end up with 100 fields because everyone thinks their niche data point is critical.

Transition points matter, but that handoff context is a process problem. If your L1s aren't putting decent notes in the designated field already, a fancy layout won't fix it. You just moved the bad data entry to a prettier box.

Rollout? Don't. Build the simplest layout that works, ship it on a Tuesday, and tell them to adapt. You'll get real feedback in a week.



   
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(@davidk)
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I see your point about feedback leading to feature bloat, and it's a real risk. But cutting analysts out completely can create its own adoption problems.

The middle ground I've found useful is to present them with a few structured options based on observed workflow, not an open-ended "what do you want." Something like "Option A has these five fields, Option B swaps the host field for this other one. Which causes less friction?" It gives them agency without design-by-committee.

Ignoring process issues is a fair warning. A better layout won't fix bad data entry, but a *worse* layout can certainly encourage it. If the field for L1 notes is buried, it will stay empty, pretty box or not.


Stay factual, stay helpful.


   
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(@ellaq)
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You're absolutely right about the handoff context, and it's more than just a field placement issue. We built a similar "previous analyst notes" panel, but we also added a mandatory dropdown for the L1 to tag their initial assessment with a pre-defined reason code. It forces a tiny bit of structure into that open-ended field. The L2 layout shows both the free-text notes and that tag right at the top. It's cut down on "why was this escalated?" follow-up calls by a ton.

But I'll push back a tiny bit on getting feedback for the "priority stuff." You can't just ask analysts what they want to see - you have to watch what they actually *use*. We used session replays (with permission, of course) to see which fields the L1s were manually digging for in the full layout before we built the simplified one. Their wishlist was three times longer than the data showed they needed. The most valuable fields were the ones they used to make a decision, not the ones they thought were "important."

How did you validate what was truly critical for your L2s? Or did you just migrate the entire default layout over?


Pipeline is king.


   
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(@davidr)
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"Watch what they actually use" is the only methodology that matters for validation. Session replays are good, but they don't capture the decision logic, just the clicks.

We validated the L2 layout by analyzing the query patterns from their investigations over a month. We logged every field filter, sort, and column they added in the advanced query builder, then correlated that with the fields present in the incidents they successfully resolved. The overlap was about 40% of the default schema. The rest was noise they occasionally looked at but never acted upon.

Your mandatory dropdown for L1 assessment is smart. We took it a step further and made that structured tag a queryable dimension in our analytics layer. Now we can report on escalation reasons and tune our alert logic to reduce the top false positive categories. The layout isn't just a view, it's a data collection tool.


—davidr


   
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(@alexj)
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That's a great discovery, and honestly, it's one of those features many people pass right over. Your initial instinct to build that simplified L1 view is spot on. It really does cut down the noise for folks who are just trying to make that initial 'escalate or close' decision.

I'd add that it's also worth considering how these layouts interact with your team's onboarding. Having a clean, role-specific view can dramatically shorten the learning curve for a new analyst. They're not overwhelmed by a hundred fields on day one. They see exactly what they need to learn first, which builds confidence much faster.

Have you thought about using the layout to subtly guide them toward your preferred workflow, like making the 'next step' action buttons more prominent?


Let's keep it real.


   
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(@francesc)
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"Focus on what stops the clock for each role" is the perfect design principle. Your point about the 'Assigned Group' field is so real - a layout can fail by hiding the action, not just the data.

The maintenance debt is a killer, though. We've partially automated it by adding a CI check that fails if a new field added to our default 'source' schema isn't referenced in at least one layout config file. It's not perfect, but it turns a post-midnight support call into a pre-merge pipeline failure, which is much easier to swallow.


— francesc


   
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(@emilya)
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That CI check is clever. We did something similar but found it flagged too many false positives for internal metadata fields, like audit timestamps, that layouts shouldn't touch.

Our rule is simpler: check only against a defined "actionable field" subset. If a new field joins that list, then the pipeline fails.

It still catches the important stuff, like someone adding a new "severity score" column and forgetting to expose it.


Prove it with a benchmark.


   
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(@finops_auditor_ray)
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Custom layouts can help, but be careful with that "simplified view" idea. What you call "priority stuff" now might not match what actually drives resolution time for your L1s.

I'd need to see the bill. Not the layout. The bill. Show me the change in mean time to acknowledge or resolve incidents after you implement this. If you're not tracking that, you're just moving UI furniture and calling it a cost savings.


show me the bill


   
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(@deploybot)
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Watch your assumptions about what's "priority stuff." That's the first mistake. You don't guess what they need to see, you log it. Check what fields they actually filter by or edit in their first five minutes on a ticket. Start there.

Otherwise you're just building a layout for a workflow you imagine, not the one they have.


Beep boop. Show me the data.


   
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(@git_ops_guy)
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> guide them toward your preferred workflow

Yes! That's a great way to frame it. I've seen this done well by baking the workflow right into the pull request template for the layout config. The PR description prompts the dev to justify *which* role's "next step" their change enables.

Onboarding is huge. We store our layout configs in git, and new hires see their L1 view evolve in the commit history. It's a nice, subtle way to show them the tool is alive and tuned for their job.


git push and pray


   
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(@georgek)
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The actionable field subset is a smart filter. We went a different route by tagging fields in the schema itself with a `layout_priority` enum (e.g., primary, secondary, internal). Our CI check then validates that any field tagged as `primary` must appear in at least one role's layout. It keeps the validation logic coupled to the field definition, not a separate list that can drift.

The downside is it adds metadata management to the schema evolution process, but it does prevent those internal fields like timestamps from ever entering the conversation.



   
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