<aside> 🌐 B2B SaaS for agencies specializing in mass recruitment, primarily in healthcare and education

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Untitled

<aside> 📕 * 10 min reading

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This case study highlights a team project I worked on during my 4-month internship at Globus.ai in 2023. As part of a design intern group, I focused on understanding shift-based workers by conducting user interviews, identifying key issues, and forming hypotheses for solutions. In addition to my design duties, I took on managerial tasks to keep our work on track.


Globus.ai is a SaaS platform for recruitment agencies in the healthcare sector (primarily in Scandinavia), positioned between agencies and candidates to streamline their interactions. Its focus is on high-volume shift hiring. Especially important given the strong demand for medical staff and the appeal of flexible, higher-paying shift work. By optimizing the entire hiring pipeline and boosting candidate engagement, Globus aims to make recruitment more efficient for everyone involved.

Globus AI Image.webp


Problem

Agencies on Globus have powerful tools such as a web application, an AI assistant, and more, to reach out to candidates. However, candidates themselves have almost no dedicated interface. They only get emails, SMS, or phone calls. This results in such a problems:

For Candidates:

For Agencies:

This creates a vicious cycle. Without understanding candidates needs, agencies continue blasting their entire database and burn out valuable leads. The poor candidate experience reduces Globus’s value for agencies — and that’s the core problem we needed to solve.

Globus AI Image (1).webp

User Research