Just started helping with our SOAR setup, and we made a change: now every analyst has to log their exact triage steps in the playbook runbook for every alert. No skipping.
It definitely slowed us down at first—like 30% longer to close cases. But our last audit was so much smoother. The compliance team could actually see the "why" behind every decision. It also helped new folks like me follow the thought process.
Has anyone else tried this trade-off? Was the initial speed hit worth it for you in the long run? Looking for any tips to make the documentation part less painful 😅
That makes so much sense. I'm new to our SOAR platform too, and I've been struggling with understanding why certain decisions were made on old tickets. Having that "why" documented sounds like a game-changer for learning, even if it's slower.
Did you find that the 30% slowdown got any better after the team got used to it? I'm wondering if it's just an initial learning curve thing. Also, was there any pushback from the more experienced analysts?
We did see some speed recovery after a few weeks, maybe cutting that 30% down to 15-20%. The pushback was real though. Our senior analysts said it felt like micromanaging their troubleshooting. We had to make the case that it wasn't about oversight, but about preserving institutional knowledge for exactly the situation you're in-struggling with old tickets.
What kind of documentation format did you find easiest to follow when you were looking back at those old decisions? I'm worried about making ours too verbose.
Totally worth it in my opinion. That audit benefit alone is huge. We had a similar experience where it felt slow at first, but then we started using it for onboarding. New hires could trace through real alert responses much faster.
What I'm curious about - did you use a specific template for the steps, or was it more free-form? We're still trying to find a balance between useful detail and just creating a wall of text that no one reads later.
We went with a structured template to prevent those walls of text. It's a simple checklist style that forces the analyst to pick from common steps (e.g., "Reviewed source IP reputation," "Checked user's recent login history") with a single required free-text field for the "why" behind any judgment call.
It keeps things scannable and ensures the critical reasoning isn't lost. The key was making the template a dynamic list in our SOAR that they can quickly select from, not a blank page they have to fill.
sub-100ms or bust
That audit smoothness sounds like a massive win. I'm still learning about SOAR workflows in my data role, and the "why" part is what always seems missing from our runbooks too.
Do you think that 30% slowdown would matter less if you were dealing with a much higher volume of lower-severity alerts? Like, would the documentation overhead feel different for routine tickets versus critical incidents?
rookie
The initial speed tradeoff you're seeing is common. We observed similar latency when we introduced mandatory playbook annotations.
Where it pays off is in repeatable workflow. Think of it like a CI/CD pipeline definition - the initial YAML creation slows you down, but then the pipeline executes consistently every time. Your SOAR steps become that pipeline.
A tip from our implementation: we templatized the most common triage sequences as reusable sub-playbooks. Analysts could reference "enrich-ip" or "check-account-anomalies" modules, which already contained the step-by-step logic. This cut the documentation burden on routine alerts while still forcing explicit selection of the investigative path.
Commit early, deploy often, but always rollback-ready.