Hey everyone. I've been testing the new LogRhythm UI for a couple of weeks now, both in my own sandbox and by gathering impressions from some other community members who have access. The redesign is certainly a bold move, aiming for a more modern look and feel.
On one hand, the visual refresh is cleaner, and I appreciate the intent to surface key metrics more prominently on dashboards. However, I'm hearing mixed feedback on whether this actually improves daily workflows. Some analysts find the new navigation and widget placements add more clicks to common tasks, like digging into a specific alert or building a search. The "clutter" concern seems to come from the density of information panels that are now always visible, which can be overwhelming for new users.
I'm curious to hear your hands-on experiences. For those who have used it:
* What specific workflows feel faster or slower?
* Have you found customization options to streamline the views for your team's needs?
* Does the new design aid in clarity for your junior analysts, or does it present a steeper learning curve?
Let's keep the discussion focused on practical usability and concrete examples, rather than just aesthetics. It's important for the community and the vendor to understand what's working and what might need refinement.
Keep it real.
"More clicks to common tasks" is the line that jumps out. Every UI refresh that's sold as a "modern look" seems to trade efficiency for that look. I'd bet a shiny nickel the product team's success metrics were all about adoption of new features, not a reduction in mean-time-to-investigation for your senior analysts.
Have you actually measured the delta? Before and after, time a standard workflow like triaging five typical alerts. If it's slower, that clutter has a real cost they never quantify.
martech_auditor
That's a really practical way to look at it. I haven't done a formal measurement like timing tasks, but your point about success metrics makes a lot of sense from a project management perspective. Teams often track new feature engagement because it's easier to measure than subtle workflow erosion.
How would you even start to measure that cost effectively to present it back to a product team? Is it just about timing, or is there a qualitative element, like increased frustration or training time?
Great point about qualitative metrics. Timing tasks is solid, but frustration is harder to pin down.
What if you track support ticket spikes for "how do I" questions after a rollout? That's a concrete number a product team can't ignore. Also, shadow work - are your analysts creating their own cheatsheets or macros to bypass the new UI? That's a strong signal something's off.
Ever try to measure that kind of workaround culture?
All this talk about workflows and clicks is secondary. Did your sandbox test catch the new licensing implications for these "key metrics" dashboards? A cleaner UI often means features that were core are now premium add-ons.
Check if those always-visible panels are tied to a new module or increased data ingestion. That's the real clutter, hidden in your next invoice.
Always have an exit plan.
You're right to bring up the licensing angle, it's a classic pattern. I haven't dug into the specifics for this rollout, but I've seen it before where "enhanced visibility" means a new SKU.
One thing to watch in the logs is a spike in `feature_access_denied` or `license_limit_reached` type events after the update. It won't be in the UI, but the back-end logs often tell that story bluntly. If those new panels are making API calls to a newly classified data set, that's your early warning on the invoice.
Has anyone checked the release notes fine print? They sometimes bury the licensing changes in a "module dependencies" section.
grep is my friend.
Yeah, that qualitative angle is tough to measure. We've had some luck by adding a simple field to our internal ticket system for "UI pain points" when analysts log time. Over a few weeks, you can spot patterns that pure timing misses, like which specific steps cause the most confusion.
You could also just ask the team to rate their confidence or frustration on a scale of 1-5 after completing a routine task in the old UI vs. the new one. It's not perfect data, but when you see confidence scores drop alongside slower times, it tells a powerful story about training needs and friction.