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DOTS Platform

CLIENT

Scientific Bioprocessing (SBI) / Aquila Biolabs

ROLE

Product & UX Designer

TIMELINE

2021 – 2024

FOCUS

UX redesign · Design system · Product scalability

CHALLANGE

Transform a technically advanced biotech platform into a tool scientists actually enjoy using

Context & Challenge

The DOTS Platform connects sensors and actuators to standard shake flasks – turning them into smart mini-bioreactors. It collects key process parameters (biomass, dissolved oxygen, fluorescence) and synchronizes data with other SBI devices.

As the technology matured, the interface fell behind: fragmented navigation, inconsistent visuals, and slow onboarding made it difficult for scientists to fully use the system.

The challenge was to transform this technically advanced platform into a tool scientists actually enjoy using, enabling real-time monitoring across experiments and reducing setup time.

Through laboratory observations and user interviews, we identified critical friction points and opportunities to empower faster scientific decisions.

Research & Insights

Too much context switching

Researchers spent too much time manually switching between modules and spreadsheets.

Visual clutter

Visual clutter hid critical experiment data.

Configuration overhead

Labs wanted pre-configured templates instead of starting from scratch.

Design Process

STEP 01

Information Architecture

Mapped every step – from experiment setup to data export – to uncover redundant interactions.

STEP 02

Wireframes & Prototypes

Designed low-fidelity flows for two user personas: lab technician and researcher. Focused on reducing clicks, simplifying dashboard structure, and surfacing key metrics first.

STEP 03

UI & Design System

Built a reusable design system in Figma: typography, colors aligned with SBI brand, components for dashboards, alerts, parameter cards, sensor-feed panels. Ensured scalability for new sensors (biomass, DO, fluorescence) and vessel types. Used modular card architecture so labs could customise their dashboards.

STEP 04

Validation & Iteration

Conducted usability tests with lab technicians: found that simplified interface reduced experiment set-up time and improved clarity of key metrics. Adjusted based on feedback (e.g., clearer visual hierarchy, contextual tooltips).

Final Design

The redesign delivered:

  • A unified dashboard where users can visualise biomass, DO, fluorescence in parallel, with intuitive filters and alerts.

  • Quick-start templates: e.g., “biomass-based feeding in shake flasks” which allowed set up in minutes rather than hours

  • A modular card system that supported expansion – adding new sensors or vessel types without redesigning the entire UI.

  • Enhanced data export and sharing flows – labs could take snapshots of running experiments, annotate, and share with colleagues.

Outcome & Impact

-33% Setup Time

Transformed standard shake flask experiments into high-throughput, smart experiments – labs reported fewer manual sampling interruptions and richer data sets.

Data monitoring clarity

Users were able to monitor multiple parameters in real-time, enabling faster decisions and higher experiment accuracy.

-30% Handoff Time

Developer/designer hand-off improved thanks to design system reuse – faster iterations for new sensors and vessel types (internal metric: ~30% less design-dev time, estimate).

+18% User Satisfaction

Positive user feedback: “With the DOTS platform I can combine sensors and actuators in a simple way … this is truly revolutionary for me and my experiments.”

Using the DOTS Platform, we were able to gain actionable insights from our CHO shake flask cultivations. This allows us to reduce sampling as important data are given online and in real time.

Learnings & Reflection

Designing for scientists taught me that usability is a form of trust. When every data point matters, the interface must disappear  leaving only clarity.

If revisiting this project, I’d invest in guided onboarding and smart alerts that detect anomalies early, further aligning human intuition with machine precision.

The modular design system didn’t just improve consistency  it created a shared language between design and engineering teams, accelerating the entire product development cycle.

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