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Case Study 01
2024

Reducing friction in location-based job search

Job Portal · Location Feature Design

Role

UX/UI designer

Duration

12 weeks

Platform

Web, desktop and mobile

Team

1 Project Director,
1 Developer and Me

Tools

Adobe XD

01 · Snapshot

Recruiters at FindSGJobs' outdoor career booths had no easy way to match jobseekers with nearby opportunities. They had to switch between the job portal and Google Maps just to check the location of a single job.

The outcome

Previous workflow

~30s

per job location check

Jobs Nearby

~20s

to view every matching job

The feature was later adopted by Jobs Anywhere @ North West, a community employment initiative by North West CDC, powered by the FindSGJobs platform.

02 · The problem

Recruiters spent about 30 seconds checking the location of each job, copying the address into Google Maps, switching back to the portal, and repeating the process for every listing until they found a suitable match or exhausted the results.

The repeated back and forth slowed the conversation and reduced the time recruiters could spend helping jobseekers.

03 · What I did

Research

I audited three local job portals, FindJobs, FastJobs, and JobStreet, to understand how each supported location-based job search.

1

FindJobs

Displayed approximate distance, but required opening each listing to view it on a map.

2

FastJobs

Filtered by town and nearest MRT station, a general sense of location rather than actual proximity.

3

JobStreet

Filtered by town or region only, so nearby opportunities could still be buried among less relevant listings.

I then benchmarked Google Maps because recruiters were already relying on it at career booths. Rather than introducing a new interaction pattern, I wanted to build on an interface they already understood.

Collage of FastJobs, JobStreet and FindJobs screens from the competitor audit

Key insights

Recruiters weren't struggling to use our search function, instead they were leaving our portal to complete their task in Google Maps. The real issue wasn't the quality of our filters. It was that recruiters had to rely on two separate tools to complete a single workflow. This shifted the design challenge from improving search to integrating location directly into the job discovery experience.

Ideation

Instead of redesigning the search filters, I focused on eliminating the need to switch between FindSGJobs and Google Maps. To make the experience intuitive, I applied Jakob's Law: users spend most of their time using other products and therefore expect familiar interaction patterns.

Hand-drawn sketches of the Jobs Nearby flow alongside Google Maps reference

Design

Users could set their search location using GPS or by entering an address, then select a search radius between 1 km and 5 km. Jobs matching the criteria appeared directly on an interactive map, with markers showing the number of available roles and their approximate distance. The radius was capped at 5 km on purpose, to keep results genuinely close rather than overwhelming. The feature was also built mobile-responsive.

Jobs Nearby map view with location field, distance selector and clustered job markers

Validation

Due to project constraints, I did not conduct a formal usability study. Instead, I worked closely with the Project Director and developer to review the design during implementation. This surfaced two issues:

Initial map loading exceeded 5 seconds.

Apply button was too small on mobile.

To improve performance, I redesigned the experience into a step-by-step flow where jobs are loaded only after a search radius is selected, rather than loading every job location upfront. During a later revamp of the FindSGJobs portal, we also introduced a Get Directions function, which opens Google Maps with the route prepared, removing the need to manually copy and paste job addresses.

Before and after of the mobile job detail, the small inline Apply button becomes a full-width Apply bar
Stepped search flow, a four-step dialog asks for preferred location before jobs load onto the map

04 · The result

As I didn't have access to post-launch analytics, I measured the feature's impact through workflow comparison and real-world adoption.

Faster workflow

Previous workflow

~30s

per job location check

Jobs Nearby

~20s

to view every matching job at once

Real-world adoption

Originally designed for FindSGJobs, Jobs Nearby was later adopted by Jobs Anywhere @ North West, a community employment initiative by North West CDC, powered by the FindSGJobs platform.

05 · Reflection

With more time and access to user data, I would want to validate whether the step-by-step search flow genuinely improved the experience, rather than simply confirming that it resolved the loading issue.

The biggest lesson from this project was recognizing that a technical problem was actually a design problem. Instead of asking how to make a slow-loading map faster, I questioned why the map needed to load every job in the first place. Reframing the problem led to a simpler solution that improved performance without compromising the experience.

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