Adelaide Dashboard UX Research — Project B3
Research-led redesign of a complex analytics dashboard for Adelaide-based logistics operators. Mixed methods: interviews, usability testing, analytics review.
- Project: Dashboard consolidation & task efficiency
- Duration: 6 weeks (Discovery → Prototype)
- Team: UX researcher, UI designer, product lead
Research methods
Contextual interviews
Direct sessions with end-users on-site to capture workflows and pain points.
Task-based usability testing
Prototype tasks measured for time-on-task, errors, and satisfaction.
Analytics & event review
Heatmaps and event funnels to prioritise interaction fixes.
Representative persona
Sam — Operations Supervisor
Goals: fast incident triage, clear KPIs, mobile alerts
Behaviour & needs
- Prefers quick glanceable KPIs on arrival
- Relies on filters to triage exceptions
- Needs reliable mobile notifications during shifts
Design implication: reduce navigational depth and unify alerts across web and mobile.
Key findings & recommendations
Users struggled with nested menus. We propose consolidated quick actions and contextual filters.
High false-positive alerts reduce trust. We recommend rule tuning and alert severity tiers.
Critical actions must be reachable on mobile — we prototyped a compact action bar.
Prototype gallery
Overview — consolidated KPIs
Smart filters & quick actions
Mobile compact view
Alert triage panel
Impact & KPIs
| Metric | Baseline | Post-Prototype | Target |
|---|---|---|---|
| Time to resolve incident | 18m | 11m | 10m |
| Errors per task | 2.4 | 0.9 | <1 |
| Mobile task success | 64% | 87% | 90% |
| Alert acknowledgement time | 7m | 3m | <4m |
Our process
Discover
Stakeholder & analytics review
Research
Interviews & testing
Design
Prototypes & components
Validate
Iteration & metrics
Ready to improve your dashboard?
We run short discovery sprints in Adelaide to map problems and deliver high-confidence prototypes.