Building next-generation AI HR tools.
Design Lead
About SeekOut
SeekOut's product is the leader in AI recruiting and talent strategy development. As part of the GROW team, I worked with leadership to conceptualize, validate, and deliver a new product through the definition and MVP phases.
The Problem
Talent leaders create multimillion-dollar strategies that influence teams across an organization. However, they often lack the tools needed to quickly gather insights and confidently make decisions. This process can take weeks, creating bottlenecks and can be costly.
The Solution
Build a tool that allows talent acquisition leaders to simulate scenarios based on their hypothesis using real data to help them strategize and deliver accurate roadmaps in a timely manner.
Then, allow leaders to turn these simulations into actionable plans that can be shared with managers and their direct reports.
Finally, provide a way to track progress after a plan has been put into motion while staying informed with industry changes that will allow you to be nimble whenever you need to edit plan priorities.
Discovery
I spent time collaborating with leadership and interviewing industry leaders to distill concepts based on our conversations.
This helped us create user stories and vignettes to help emphasize the problems that industry leaders face while planning their workforce.
Happy Flow
My learnings informed the core experience design that addresses pivotal points, starting with hypothesizing and finishing with an actionable plan.
Wireframing
After aligning with leadership on the core experience, the next step was to create low-fidelity wireframes. This helped quickly test and validate our outcomes.
Information Architecture
User flows
Once I had an idea of how the core experience pieces could fit together, it was time to reinforce the scaffolding and connect each step creating user flows.
Test
I identified parts of the experience that needed refinement before moving on to refinement. A key part of the process is creating well-crafted hypotheses so the system can provide strong insights.
Scenario:
You’re the CHRO at a 10,000 person company and you need to plan the creation of a new team of 20 Cloud Developers.
Task:
Run a query to find any role related to cloud development from at least two data sources.
Pros and cons:
Test 1:
Search functionality was easier to understand.
Matching the text with suggestions was not quite as successful.
Test 2:
Lacks search range.
Easy to craft hypotheses that lead to better queries.
Refine
We took our learning from the user testing sessions and I began refining the wireframes to reflect what we learned.
Mid-fidelity wireframes allowed us to discuss with engineering the functionality still at a rough state while I continued to work through the rest of the system.
Insights
Using AI plus multiple data sources allowed us to group data and explore various visualizations based on time, scale, and interaction. This served as a starting point for users to create and refine their plans.
Plan and Share
Users can use levers to manipulate the data. They can also see how the people they have selected to participate in their plan will affect the rest of the organization.
The final step is to share the plan.
