Advanced Search

Improving the search experience to allow researchers to find the right research model more efficiently.

 Overview

The Jackson Laboratory is a leader in biomedical research and mouse model development. Buying mouse models can be a complicated process for even the most seasoned scientist.

The Jackson Laboratory mouse search aims to connect scientists with the right model by displaying information in an accessible and clear format for all knowledge levels. I joined the product team responsible for B2B sales and helped lead the redesign of their Advanced Search feature.

Roles

• UX Designer

• UX Researcher

• Prototyper

Deliverables

• Process Flows

• Behavioral Segments

• Card Sort

• Sketches

• Prototype
  

Timeline

June 2021 - May 2022

The Problem

Customer feedback surveys provided insights that customers were trying to search for mouse models by a specific gene, but the search results were not providing accurate results. After searching for genes myself, it became apparent that the search was using keywords and did not verify the gene category on the mouse model datasheets.

Keyword Research

To start the project, I used Pendo to learn how customers were searching.

I evaluated the search attributes that users had used between May 2021 - July 2021.

1. The most frequently used search category among users was genes and alleles.

2. Based on funnel analysis, customers attempted various keyword variations.

3. When multiple keywords were entered the search engine did not return relevant results for all keywords.

As a consequence of the irrelevant search results, many customers left the website without clicking on a datasheet.

After analyzing the search data and reviewing heat maps using Pendo Analytics, I compiled mindsets that reflected how our users search for mice models. Out of these mindsets, two would greatly benefit from an enhanced search engine.

Quick Searcher

This user quickly scans the search results but does not proceed beyond the first few results. This person expects the search engine to be properly optimized.

Targeted Searcher

This user possesses a clear understanding of what they seek and conducts searches based on specific genes or disease areas. They are willing to invest time in finding the right model, yet they anticipate the search results to align with their requirements.

Feasibility Check

Next, I met with the development team to understand the technological constraints. My initial thought was that the search engine needed to be optimized to better match the keywords to the datasheet. Unfortunately, I was able to learn that the current search engine would not be able to recognize a gene, allele, or therapeutic area which are the top ways that users search. It would take too many resources and time to create the right connections to place every search term type into a category.

Process Flows

After I understood the business and technical requirements, I knew I had to pivot to an advanced search feature that would allow us to connect researchers to the right mode more efficiently.

I began to map out all of the use cases for the advanced search feature.

Design Session

To generate a variety of solutions, I led a brainstorming session with UX Designers, Product Managers, and the Director of IT to help find relevant inspiration and wireframe possible solutions.

Genetic Terms Card Sort

Once I began putting together the user interface, I wanted to connect with the Technical Information Scientists to make sure I was connecting the filters with the right advanced search category.

Prototype (Iteration #1)

After I wrapped up the initial discovery work and worked with stakeholders to ensure the information was technically correct, I started working on prototypes. This initial prototype was made to show key stakeholders and help facilitate discussions around the feature.

Prototype (Iteration #3)

Based on conversations with stakeholders and engineers, I was able to iterate on the design and create a prototype for moderated and unmoderated usability testing. To keep the design agile the idea was concentrated down to just a genetic search.

 Usability Testing

I am currently running an unmoderated user test through Maze and have moderated usability interviews scheduled with current customers. My goal for the unmoderated test is to collect a significant amount of quantitative data to determine if enough users want this concept, while the moderated testing will be used to gather insights on how to improve usability.

Outcomes

The next step is to complete the moderated and unmoderated testing sessions in order to synthesize the data in an affinity map. I want to provide the stakeholders with validation that users want this advanced search and gather insights on how to improve the experience.

Lessons Learned

During this project, I learned how important it is to communicate across all of the design and development teams. Every check-in with the development team and stakeholders provided another necessary piece of the puzzle and helped to inform the design process.