CASE STUDY
Guided Search, Proof of Concept
Snagajob's mission is to help job seekers find hourly work that they'll love — and fast. 
Roughly a third of those who come to Snagajob’s site looking for hourly work don’t have a specific role in mind. What they do have is an internal checklist of things like pay, schedule, and commute.

My Role: Staff Product Designer
Responsibilities: 
UX discovery, concept exploration, interaction design, Figma prototyping, UX writing, user validation, UI design
Project Team: 
2 Product Managers, 2 Engineers
3 cropped photos of people doing hourly wage jobs. One is a hispanic man in an apron working behind the counter as a barista at a coffee shop. The next is a man working on a construction site, wearing a hardhat and standing on top of a building framework. The last photo is of a black woman in her 20s working in a restaurant kitchen stock room, pulling out a bin full of potatoes.
Jobseekers' goal: 
They want to find a good job quickly, but also need ways to narrow their options to match their preferences.
Project goal: 
Jumpstart the job search. We wanted to provide workers with a quick and easy way to find relevant jobs aligned with their priorities and needs.
An image of a user flow diagram illustrating a high-level flow outline for how a Guided Search feature would function. It depicts 3 major stages: prompt, questions, and joab match results
Above: a high-level flow outline showing how Guided Search would function
The strategy
Quickly develop a proof of concept to validate with job seekers, then launch an MVP that would allow the team to collect data, test with users, refine job match scores, and improve search results.
Key business objectives: 
Drive engagement, nurture trust, and ultimately increase long-term value (LTV) and revenue per worker.
Desired outcomes: 
Workers discover jobs they’re genuinely interested in, including ones they might not have found or considered on their own. They leverage this tool, along with their work history and dynamic filters, to find better job matches with less effort.
Mobile device mockups showing various UI touchpoints in the Guided Search experience. The first shows a search results page with a banner to "try guided search". The middle image is of a blue screen featuring a multiple choice question asking "Which work scenario sounsd best to you?", and the last shows job "recommendations for you" and has a carousel of job listing cards for jobs that would appeal to an extrovert.

Above: UI design for the three critical touchpoints of guided search 

Project Outcomes
After prototyping and conducting qualitative user testing, I landed on an MVP that leveraged four conversational questions focused on: personality, priorities, financial situation, and location. 
We worked as a team to determine how we could utilize our existing machine learning models in new ways to produce recommendations based on user responses.
Within 8 weeks of kickoff, we launched a multivariate test to learn and assess the viability of guided search. 


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