AMRT Case Study

Optimize geospatial analysis with critical insights in a couple of clicks

Redesigned spatial workflows so analysts can move from raw data to decision-ready outputs faster, with less friction and better consistency.

Challenge and context

The project started with disconnected workflows, inconsistent interfaces, and long operational cycles.

Complex data silos
Teams spent days moving spatial data across disconnected tools before any analysis could start.
Manual processing overhead
Basic analysis required repetitive manual steps, slowing delivery and increasing operational cost.
Inconsistent interfaces
Fragmented interaction patterns created a steep learning curve and inconsistent outputs.

A four-step approach connected research findings to implementation decisions.

Step 01
Discovery
Stakeholder interviews and workflow mapping across existing systems.
Step 02
Definition
Prioritization of key tasks, architecture decisions, and success criteria.
Step 03
Prototyping
Low-fidelity and high-fidelity validation with analysts and operational teams.
Step 04
Implementation
Rollout of a modular interface and iterative improvements with real usage feedback.

The final structure simplified navigation, task targeting, and result delivery.

Centralized data hub
A unified access point for geospatial sources replaced fragmented handoffs.
Context-aware layering
The interface proposes relevant analytical layers based on current user intent.
One-click exports
Reporting workflows were shortened so teams can share outputs immediately.

High Fidelity

High-fidelity screens focused on faster analysis and clearer spatial decisions.

Next step

I can help your team translate complex data and workflows into intuitive, high-impact user experiences.