"How can job-seeking individuals in the Swedish labor market be motivated to share their personal data between digital services to make it easier to communicate with the labor market and its various stakeholders? The solution must be simple and sustainable for the public and private sector."
Questions we had:
Was that people won't want to share their data because they don't trust the Employment Service. We saw that it is important that the service is modern and creates value for users, otherwise trust will not increase. The entire service should also be improved while creating functions for data sharing.Our long-term goal is:"In two years, trust has increased because the Employment Service supports the jobseekers throughout the journey from unemployed to the new working life".And that is the target picture we started from when we worked out our solution.
Förtroendebarometer KANTAR Sifo 2020
Here you can see that AF is the authority that people trust the least.
Find a way to motivate job seekers to share their personal data to facilitate communication with the labor market.
Most of our research involved examining the negativity surrounding the Employment Service among the general public and what caused it. We read scientific reports, articles, scanned social media and had interviews with people who had experience with the Employment Agency. We also researched other job sites to see what services they offered that the Employment Agency did not have. The research was the basis for the continued work with empathy maps, user journeys , concept sketches etc. to develop our solution.
We worked in a customized Google design sprint because it is a method that we have worked a lot with and gives quick results. We chose to add other tools such as empathy maps, which gave us a great understanding of the problems. Empathy maps were made because we wanted to empathize with the target group, but also to bring out so-called "pains" and "gains" that the target group might have. This gave us insights into what we need to improve for the user. We compiled four empathy maps into one.
We sketched sketches and selected the most interesting. Then we created Low fidelity prototypes in Figma.
We assembled the dashboard and the mood tracker into a clickable High fidelity prototype. We also added how it looks when managing the data sharing permission.
We took the opportunity to test a concept that we call fair recruitment, which means that the recruiter does not get access to name, gender and age until later in the process. Overall, we received very positive feedback. Several test subjects said that they would rather choose employers who made such recruitments because it says a lot about what the workplace itself is like.
A gamified solution where users can connect their mood with the job search process. Where the user can also have direct contact with the employment agency.
Date: May 2021-June 2021
Custumer: Arbetsförmedlingen/ Jobtech
My roles: Ux designer, decider, tester and prototyper.