.avif)
Mozayix helps global enterprises protect their assets, people, and reputation. Its managers run security risk assessments, site surveys, and incident reports across dozens of locations. Yet the platform built for that work was the one tool they tried to avoid: the right capabilities sat buried in an interface they had to fight to use.
That’s a website dashboard design problem. Enterprise software pays off only when people open it, and Mozayix’s managers didn’t.
Mozayix hired Lazarev.agency to rebuild the platform around how managers work. In this article, we share what we changed, the principles behind it, and how to tell whether your own dashboard is costing you adoption.
Key takeaways
- Show less, communicate more. We deleted most of the elements on the old Mozayix dashboard. Managers finally found what mattered. Information hierarchy beats data volume every time.
- Static dashboards create IT dependency. Old system: email request, three-day wait for a report. New system: click, filter, drill down, and answer your own question in seconds.
- One dashboard doesn’t fit all roles. Stop forcing everyone through identical interfaces. Build role-specific views.
- Hide complexity until users need it. Simple entry points for common tasks. Advanced features behind familiar patterns.
Why your dashboard collects dust instead of data
Most enterprise design for dashboards fails for predictable reasons. We saw the same pattern in the Mozayix case and across other projects in our portfolio.
Everything screams for attention simultaneously
Open your analytics dashboard right now. Count how many metrics, charts, tables, and widgets compete for your eyes. Twelve? Twenty? Thirty-five?
Now tell us which three matter most for the decision you need to make in the next five minutes. You can’t. Because nothing has visual priority.
“Good dashboard design is 80% deciding what not to show. Most teams show everything and wonder why users can’t find anything.”
{{ Oleksandr Koshytskyi}}
For Mozayix, we established a clear information architecture — four tiers, each earning its place on screen by how often a manager acts on it:
Managers started using the dashboard because scanning replaced searching.
Static displays when decisions need exploration
Your dashboard shows last month’s number: 24 incidents. Great — compared to what? Which regions drove the spike? Which threat types declined? The dashboard just stares back.
Static charts work for printed reports. Proper enterprise UX/UI has to support interactive data exploration. We rebuilt Mozayix around investigation workflows:
- Click a security event → see the individual incident with severity rating and source notes.
- Filter risk assessments → narrow by region, timeline, or responsible assessor.
- Drill into project metrics → reveal task-level detail and blockers.
- Compare periods → overlay last quarter against projections.
Design optimized for screenshots instead of daily use
Your dashboard looks incredible in the sales deck. Pretty design, smooth animations, trendy data viz.
Then managers try using it 50 times a week and everything slows down. Animations delay tasks. Aesthetic choices sacrifice clarity.
“We redesigned it for people who see this dashboard before coffee every morning. Different optimization entirely.”
{{Ostap Oshurko}}
Every design element earns its place on cognitive efficiency:
- Color-coded status indicators because the brain processes color faster than text.
- Icon-driven metric cards because symbols communicate quicker than labels.
- Spatial consistency because same location = faster recognition.
- High contrast because enterprise monitors vary wildly in quality.
- Simple charts because complex visualization slows comprehension.
The result looks professional. More importantly, it works fast.
🔎 For more UX hacks, see our full guide on AI dashboard design.
What we changed in the Mozayix dashboard
Mozayix managers were opening five screens to check daily status. We replaced them with one command center that answers the four questions a manager opens the app to ask: what needs attention now, how projects are performing, where audits stand, and what’s new in the field.
Severity chips (EXTREME, HIGH, and MODERATE) label every threat and double as filters, so managers narrow the view in one tap. On the site detail page, a risk-by-layer chart and a single overall risk score replace a 17-column table, and the threat table drops to five columns.
The Mozayix case study covers the rest, including the event map, the setup wizards, and the mobile companion app.
Dashboard design principles you should implement
Based on Mozayix and other enterprise projects from the Lazarev.agency portfolio, here's what makes a great dashboard design:
- Reduce everything fighting for attention. Most dashboards show too much. Establish brutal priority — critical information dominates, background metrics recede.
- Design for the 5-second scan. Managers don’t read dashboards. They scan for problems, verify status, and move on. If users squint or hunt, you failed.
- Make every chart earn its existence. Bar charts compare categories. Line graphs show trends. Heatmaps reveal patterns. Pick the chart that matches the question.
- Build interaction. Let users filter, drill down, compare, investigate. Turn passive viewers into active analysts.
- Customize for roles. Stop forcing identical views on different jobs. Role-based layouts serve actual workflows instead of a generic everything-for-everyone compromise.
- Optimize for monitors. Enterprise users work on dual screens. Responsive down to tablets when needed, but desktop-first — that’s reality.
- Test with people who hate your software. Interview the managers avoiding your platform. Record their frustrations — it's the same research-first logic behind a sound product discovery process, where you study real behavior before designing. They'll tell you exactly what breaks.
🔎 Curious how to design dashboards that don’t confuse users? We broke it down in our guide on dashboard UX design.
Your dashboard is why adoption tanked. It’s time to fix it
We’ve rebuilt dashboards for enterprises managing billions in operations. We have the research to prove what drives daily usage versus what just impresses stakeholders in demos.
Building enterprise software where interface quality determines adoption? Talk to us. We’ll show you exactly where your dashboard loses users and how to fix it before you burn another quarter on features no one touches.
“Through a detailed understanding of the client’s platform, Lazarev. was able to create a clean and intuitive UI/UX design that ticked all the boxes. The team was receptive to all requirements and requests and adapted well to timeline changes. They produced accurate mockups at every iterative stage.”
Founder at Pika AI