SafetyIQ Dashboard evolution
Overview
SafetyIQ began as a focused dashboard designed in 2024 for a small but growing set of customers. As adoption increased, we began validating the experience through usability testing and deeper user research to better understand evolving needs. The next phase introduces AI-driven customization, enabling users to surface the insights that matter most to them.
Category
Dashboard Design, Enterprise UX, AI Integration
Date
Dec, 2025
What is SafetyIQ
What is SafetyIQ
SafetyIQ is a fleet intelligence dashboard that analyzes driver behavior and safety events to help fleets understand risk patterns, improve driver performance, and make safer operational decisions for Insurance companies.
SafetyIQ is a fleet intelligence dashboard that analyzes driver behavior and safety events to help fleets understand risk patterns, improve driver performance, and make safer operational decisions for Insurance companies.
Summary
Summary
We conducted 2 separate Maze usability tests, 6 targeted users participated.
AI Insights
Program Dashboard (PD)
We conducted 2 separate Maze usability tests, 6 targeted users participated.
AI Insights
Program Dashboard (PD)
Objective
Objective
Position SafetyIQ as:
An indispensable part of daily workflow with the new Dashboard re-design
A critical tool for fleet risk assessment and prioritization with AI
Position SafetyIQ as:
An indispensable part of daily workflow with the new Dashboard re-design
A critical tool for fleet risk assessment and prioritization with AI
Outcome
Outcome
Identified friction in clarity, prioritization, and trust
Validated the need for stronger actionability and risk signalling
Defined design evolution toward decision enablement
Identified friction in clarity, prioritization, and trust
Validated the need for stronger actionability and risk signalling
Defined design evolution toward decision enablement
Design validation
Design validation
To strengthen SafetyIQ’s role as a decision-support system,
we conducted two focused usability tests:
To strengthen SafetyIQ’s role as a decision-support system,
we conducted two focused usability tests:
What Changed in Our Approach
What Changed in Our Approach
1
1
AI highlights priority risks within the dashboard
AI highlights priority risks within the dashboard
2
2
Information structured by urgency and impact
Information structured by urgency and impact
3
3
Clear pathways from insight → investigation → action
Clear pathways from insight → investigation → action
4
4
Reduced cognitive effort in identifying “what matters today”
Reduced cognitive effort in identifying “what matters today”
We are evolving SafetyIQ into:
We are evolving SafetyIQ into:
"A decision-intelligence layer that transforms fleet data into prioritized, actionable direction, not just another reporting surface."
"A decision-intelligence layer that transforms fleet data into prioritized, actionable direction, not just another reporting surface."
We won’t be relying on summaries alone
We won’t be relying on summaries alone
Old Program Dashboard
Old Program Dashboard
New Program Dashboard
New Program Dashboard
Usablity Metric Shift
Usablity Metric Shift
Post Launch Value Metrics
Post Launch Value Metrics
We measure if the designs are working and keep improving.
We measure if the designs are working and keep improving.
What success will look like?
What success will look like?
1
1
Faster risk detection
Faster risk detection
2
2
AI-triggered actions
AI-triggered actions
3
3
Decision confidence
Decision confidence
4
4
Consistent trackable usage
Consistent trackable usage
“We are building SafetyIQ into a cognitive layer over fleet data, not just another dashboard.”
“We are building SafetyIQ into a cognitive layer over fleet data, not just another dashboard.”
Thank You
Thank You