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UX/UI Design · Product design · TRR · Sole designer in the product team, 2022–2024

Everything TRR offers people looking for a new job, designed to work as one

From 2022 to 2024 I was the only designer in the product development team responsible for Sök jobb, the part of TRR that helps people find a new job. The match profile is the foundation: what people enter there decides which job ads they are matched with, and which candidates TRR’s advisors can suggest to employers. Around it I designed the collection page with guides and tools, the matched job ads, clearer ads with new filters, AI support that makes it easier to apply, and the tool advisors use to find candidates. This case shows how the parts work together. Each part has its own case.

My role
Sole designer in the product development team
Years
2022–2024
Users
People in career transition, and TRR’s advisors
Company
TRR
Area
Sök jobb: guides, tools, matching, job ads and AI support
Platform
Web, desktop and mobile
Tools
Figma

The short version

The problem

The parts depended on each other. Support was hard to find, few people had a match profile, ads were hard to use, and advisors struggled to find candidates.

What I did

As the only designer in the team, I designed each part from research to development-ready design, on the same match profile and the same patterns.

What changed

The share of users with a match profile rose from 30 to 50 percent, and with more current profiles, job seekers and employers had a better chance of finding each other.

01

The problem

Helping someone into a new job at TRR is a chain: find the support, describe what you are looking for, find the right ads, apply well, or be suggested to an employer by an advisor. When one link is weak, fewer people get to an interview.

Support that stayed hidden

Each kind of support had its own entry in the navigation, so people couldn’t see what help they could get.

Few had a match profile

Many didn’t know the match profile existed or found the criteria hard, and profiles were rarely updated. Matching was weaker as a result.

Hard to find, read and apply

Job ads were a dense list, the ads long blocks of text, and applying well took a lot of work. Advisors, for their part, needed expert knowledge to find candidates.

The goal

More people in career transition getting to a first interview, whether they find the job themselves or an advisor suggests them to an employer.

03

My role: the only designer for Sök jobb

The only designer in the team

From 2022 to 2024 I was the only designer in the product development team responsible for Sök jobb, working with the product owner and the developers. I led the design and did the work myself: research, concepts, prototypes, user tests and development-ready design, and I supported the developers while they built it.

A method for each part

A/B user tests for the collection page. Interviews, surveys and behavioural data for the match profile. Prototype tests with advisors for the candidate search. Design sprints with the whole team for the AI services, and usability tests of the whole job ads flow.

Together with other designers

Two things reached beyond the team. The filter I designed together with designers from other product teams, so it could become one standard across TRR’s services. The collection page I aligned with the designers of the other areas, so all collection pages work as one.

05

What ties it together

One profile, used everywhere

What people enter once in the match profile decides their matched jobs, the suggestions in the search field, what the AI compares their CV with, and whether advisors can find them.

One way to filter

Job seekers and advisors narrow down with the same filter component from TRR’s design system, so the pattern is learned once.

One direction

Every part points the same way: more people in career transition in contact with employers, and on to a first interview.

06

The results

The results belong to each part, and are told in full in each case.

Sök jobb collection page

In A/B user tests, people found useful help more easily and understood better how the support fitted together.

Match profile

The share of users with a match profile rose from 30 to 50 percent, and complete profiles from 80 to 93 percent. More jobs were matched when the matching was widened to adjacent matches.

Job ads, filters and AI support

The cards, filters, clearer ads and both AI services were launched step by step, and the whole flow was tested with users.

Match candidates

The advisors confirmed all three hypotheses: start broad, choose by distance, and enough information on each row to choose. The test also showed what to remove before anything was built.

Filter standard

One documented component in TRR’s design system instead of many local versions.

What I took with me

The biggest effect rarely comes from one feature. At TRR it came from improving the whole chain, from finding the support to the interview people hope to get.

Working across the whole area meant each part could build on the others. The job ads and the candidate search both use what people enter in their match profile, and the same filter.