Select work is NDA protected. Contact for details.

Underwater Intelligence with Aquatonomy

Designed key interactions and overall service for an autonomous underwater inspection system.

My Role
Product Strategy & UX Design
Team
6 collaborators:
Design, Research, Strategy
Timeline
Aug – Dec 2024
(14 weeks)
Tools
  • Figma
  • Notion
  • Miro
Overview

Aquatonomy turns murky depths into clear decisions for engineers in the field and at the office.

Meet the hardest-working teammate — the robot!

Aquatonomy builds autonomous robots that inspect and analyze underwater infrastructure. The tech was innovative, but the operator experience still had gaps.

I led the console review and linked field research to design. Interviews with divers and engineers revealed the need for clearer status cues and simpler processes, which I prototyped and tested to ensure the console worked in real inspections.

And honestly? After months of thinking about deep water, freezing divers, and robots bumping around in the dark...

I’ll never look at a dam the same way again.

Problem Space

Underwater inspections happen in some of the toughest conditions, and the complexity goes beyond the water.

Harsh Environments

Zero visibility, freezing water, fast currents.

Niche Users

Divers, engineers, roboticists, public safety.

Multi-User Workflows

Field operators and clients share the same mission.

High Stakes

Failures mean safety risks and missed inspections.

Why This Matters

Aquatonomy isn't a tool for one person, it's a system for a
network of people with different goals and contexts.

Team learning how the robot works

Learning how the robot and operators work together.

Field testing deployment

Deployment and field testing on the Allegheny River.

Solution

We turned a promising robot into a mission-ready console built for clarity under pressure.

On day one, operators showed us where the console broke down. Modes were hard to read, key actions took too many clicks, and there was no clear place to act.

We redesigned the workflow to remove guesswork at every step by reducing steps to take action and adding a simple history so teams can stay on track.

Impact
0%

fewer steps in operator workflows

0%

fewer operator errors from system states

0

hi-fi prototypes used to validate workflows

0

system blueprint adopted into product roadmap

Research & Discovery

We mixed field research, operator interviews, and fast prototypes to learn what really happens in underwater inspections.

Team reviewing console workflows on wall

Annotating current console workflows to identify pain points.

Evaluating the Existing Console

Heuristic reviews and expert reads exposed weak feedback, inconsistent labels, and click-heavy flows.

Finding #1: In mission-critical contexts, clarity of operator interactions became a top priority.
Team observing field operations

Exploring how teams prepare for water rescue missions.

Learning from the Field

We shadowed commercial divers and public safety officials to see inspections unfold both in the water and onshore.

Finding #2: Fieldwork revealed how the console must support the broader service workflow.
Physical prototype for bodystorming

Physical prototype for bodystorming in workshops.

Co-Design & Usability Testing

Bodystorming and usability sessions with operators and engineers helped us refine scenarios step by step.

Finding #3: Designing with users kept solutions aligned to real inspection tasks.
Key Insights

Through discovery and testing, we uncovered insights that guided our iterative design process...

01

Operators need clear status signals to act decisively when they can’t see.

02

The system must support multiple roles on a unified platform.

03

Setup should take minutes, not hours. Delays waste time and add risk.

04

Usability must extend beyond experts to open broader markets.

Select work is NDA protected. Contact for details.
What We Delivered

We delivered operational improvements, validated features, and a blueprint for future growth.

We presented high-fidelity prototypes for handoff; these materials are under NDA — please contact me for additional details. Improvements are documented in the task flows and supporting artifacts, summarized in two key product features:

Reflection & Takeaways

Robotics taught me that research turns uncertainty into direction when stakes are real.

While this project felt overwhelming at first, I learned design lives at the interface, not in the machine. My role wasn't to master algorithms, but to build trust for operators. This shift left me with three lessons to carry forward...

1

Failure as a Design Input

Reliability starts by designing for what goes wrong, not what should go right.

2

Strategy in Real Contexts

When process follows real people and contexts, decisions serve real needs.

3

Fast Prototypes, Big Impact

Quick, low-fidelity tests revealed the patterns that drove our final workflows and strategy.

Designer working on foam core prototype

Me vs. foam core and hot glue, round one!

Aquatonomy robot in natural habitat

The Aquatonomy robot in its natural habitat...