Expert Finder
Duration
My role
Design: Wireframe, Prototyping
Team
Three Developers
Overview
Enhancing the User Experience for Expert Discovery
Problem
How can Lilly's managers efficiently find suitable experts for their projects?
Eli Lilly & Company’s organization is comprised of many different elements, including research, medicines development, manufacturing, digital health, global services, and more. As such, there are immensely technical and knowledgeable resources who exist in and throughout the organization. The challenge is that people often have difficulty finding the resources they need for the technical components of their projects.
Prior research from the team at Eli Lilly, managers spend around 3 months due to back and forth communication between various teams searching for suitable experts on average. This amounts to a staggering 1,500 hours wasted every week across all managers. This inefficiency not only delays project timelines but also impacts overall productivity and innovation.
Solution Overview
- Visualize Matching Scores
Display matching levels by providing scores that indicate candidate suitability for positions. - Standardize Hiring Process
Utilize job posting and interview templates to create a consistent hiring process. - Enhance Compatibility
Improve candidate-position compatibility through endorsements from previous co-workers and managers. - Track Candidate Status
Allow users to monitor each candidate's progress and the next steps needed.
Impact
60% reduction in time spent searching for experts.
40% increase in experts searching success rates.
Research
To explore potential design spaces, I analyzed competitors’ features, shortcomings and product flows.
Through analyzing industry leaders in project management tools such as SAP, Workday, Greenhouse and Linkedin, I recommended prioritizing efficient expert search and filtering, introducing recommendation system, and designing an intuitive, modular user interface to meet diverse business needs.
Research
We wanted to discover the target audiences’ needs and pain points in the current management context, to understand who is involved in the process/ at what stage, and to discover the tools and methods that are used while making decisions.
So our team conducted 5 contextual inquiry interviews with target users.
We ended up receiving around 100 raw data points and 3 insights. We started by grouping them into small groups, and then we once again clustered them into big groups. Then we created an Affinity Diagram, which helped us identify key insights and generate design ideas.
Data Analysis
Synthesis
To fully understand the user experience, identify opportunities, and explore potential solutions, we created a user journey map. This map highlights painpoints and opportunities across different hiring phases. By visualizing each step, we identified critical areas for improvement and innovation.
Define Goals
Before diving into the design phase, we first established three strategies to address identified problems and guide our design solutions in the following stages. This approach ensured a seamless transition from research to design.
Ideation
Then we brainstormed potential solutions based on the three key insights we gathered. This process allowed us to generate ideas that directly addressed the identified pain points and aligned with our strategic goals, ensuring that our design solutions were both relevant and effective.
Ideation
.png)
While brainstorming potential solutions, we also defined the entire user flow. This included setting up project requirements, generating expert suggestions with matching scores, and standardizing the recruitment process. Users can interact with potential experts, view detailed profiles, and assess endorsements. The system tracks candidate status, providing notifications for upcoming tasks. Post-project reviews are incorporated for continuous improvement, ensuring an efficient, user-friendly experience that enhances the expert matching process.
Design
Matching score with candidates
Each expert is assigned a score based on how well their skills and experience align with the project requirements. This feature streamlines the selection process by providing a clear, quantitative measure of candidate suitability, allowing managers to make informed decisions efficiently.
By showcasing matching scores prominently, we address the need for quick, data-driven decision-making.
Template for job posting and interview
Standard hiring processAdditionally, the platform offers interview templates that help managers conduct structured and efficient interviews. These templates include standardized questions tailored to different roles and expertise levels, ensuring that all relevant aspects of a candidate's suitability are assessed. This feature enhances the overall hiring process by promoting consistency and thorough evaluation of all candidates.
Together, these templates address the need for standardization and efficiency, enabling managers to quickly create comprehensive job postings and conduct effective interviews.
Endorsement from previous co-workers
Trust-Based DesignBy leveraging endorsements, managers can make more informed decisions, ensuring that selected experts not only have the necessary skills but also a proven track record of effective collaboration and high performance. This feature significantly enhances the overall quality of the expert matching process.
Pipeline module for interview tracking
Standard hiring processKey features include:
Status Updates: Real-time updates on interview scheduling, feedback, and decisions.
Next Steps: Clear indications of upcoming actions required for each candidate.
Notifications: Automatic alerts for pending tasks and deadlines.
This module enhances organization and efficiency, making it easier for managers to track and manage candidate interactions and progress.
Iterations
.png)
Evaluation
Task Completion
Ease of Use
Design
