Adaptive Biotechnologies

Adaptive Biotechnologies Corp (Adaptive) is a biotechnology company specializing in immune-driven medicine. They utilize their proprietary technology platform to decode the adaptive immune system and develop clinical diagnostics and therapeutics for various diseases, including cancer, autoimmune disorders, and infectious diseases.

A small group of subject matter experts (SMEs) was selected to serve as our primary representatives for UX research

Description

Adaptive provides an immune-sequencing platform for oncology, immune diseases, and vaccine development. They develop assays for clinical diagnosis and monitoring using high-throughput sequencing to profile T-cell and B-cell receptors. Adaptive translates immune-sequencing findings into diagnostics and therapies. The Order Management System (OMS) and Laboratory Information Management System (LIMS) streamline orders for both clinical diagnostics and clinical trials, managing incoming requests to process patient specimens through Adaptive’s immune sequencing pipelines. As part of the UX team, I was assigned to innovate and improve the OMS and LIMS ecosystem.

Custom Filter bar

Latency issues were addressed by employing an Empty State pattern, guiding users to search and filter tools for a more targeted dataset. By collaborating with SMEs, key filter fields were chosen for each list. This ensured practicality and relevance in data interaction scenarios.

Flags

By incorporating a right-hand Flag Panel, Flag content was contained both visually and functionally. By maintaining a visible cognitive bookmark of the Flag, users could quickly scan for key data to inform their resolution efforts.

Expandable Rows in Data Tables

Expandable rows de-emphasized secondary information on Specimens and Samples, prioritizing key attributes through SME collaboration. Fluid states for read-only fields ensured visual clarity, resulting in a concise grid.

My role

Research

Prototyping

User Flow

Components

Wireframing

The Solutions

User Research

To enhance our understanding of the users, the following methods were implemented:

Users were overwhelmed with an abundance of fields and an overload of information.

The Problems

Chunking

Users spent considerable time tracking down orders or patients, often using inefficient filters and opening multiple tabs for task completion.

Adaptive's users had to navigate fragmented sources like Salesforce and Tableau. This hampered workflows, highlighting the need for a centralized interface and integrated data management approach.

Implementing a daily work management system

User flows

To help reduce cognitive load a new feature known as "Flags" was introduced. By incorporating a right-hand Flag Panel, Flag content was contained both visually and functionally.

Final Design

Advanced Search and Filter Pattern

Our column choices streamlined daily work by showing truncated text of the latest Note in Flag lists for quick updates and idea generation. Adding Holds columns with icons for sorting, like "Pre-Processing Holds," helped prioritize items by placing them at the top of the list.

Data Tables

Repeated data table patterns aimed to reduce cognitive load by leveraging users' expertise in working with data tables and spreadsheets. Scannability was enhanced through tags, icons, color, and humanized labels.

Assignment

An Assignment feature was added for self-assigning Flags and Reports, boosting ownership and collaboration without locking records. It allows grouping related Flags for collective problem-solving, managing tasks over time, and shifting focus from Flags assigned to others.

Streamlining specimen and shipment workflows

Ongoing one-on-one interviews were conducted with SMEs to identify pain points and collaborate on generating ideas

Weekly group meetings with SMEs were utilized, during which we gathered feedback and guided iterations on new designs