PROJECT OVERVIEW
This summer internship focused on an opportunity analysis and the further development of a solution aimed at improving the efficiency of specialist doctor consultations.
Our team was responsible for identifying the opportunities within this concept and outlining how it could be taken to the next stage. Much of the project is confidential, so I cannot share images of the final product, but I can share the process of testing a new business case and creating a working proof of concept using low-code technology.
I worked in an interdisciplinary team, where I took the lead on design and prototyping in Figma and helped structure and drive the sprint process throughout the project.
CORE OBJECTIVE
In 2023, more than 16 million people visited their general practitioner for a consultation, while growing patient demand and administrative burdens reduced the time doctors could spend on clinical work. At the same time, many patients were left without access to a general practitioner at all.
Our goal was to explore whether a digital solution could make consultations more effective and streamlined while still helping patients receive better care. The solution aimed to improve consultations, support better patient attention, and give doctors more time to focus on their work.
Project timeline
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Step 1
We began by building a shared understanding of consultations, doctors, and the healthcare sector.
We also used tools such as the iceberg canvas to uncover less visible consequences and opportunities within the concept, helping us frame the problem space more clearly.
Step 2
Based on the insight phase, we defined the most important issues the solution should address and explored different directions for the concept.
This phase helped us move from a broad opportunity space toward a more focused concept that could realistically be developed and tested within the internship period.
Step 3
After deciding on a concept, we developed a working proof of concept and tested both the solution and the business case.
The final concept received very positive feedback both from a doctor during testing and from internal stakeholders at AXAZ, showing strong value and feasibility.
The project resulted in an opportunity analysis, a business case, and a working proof of concept for a digital health solution aimed at improving consultations in primary care.
Through interviews, journey mapping, prototyping, and low-code development, we demonstrated how a digital solution could streamline workflows, reduce pressure on doctors, and support better information flow between patients and healthcare professionals.
The concept received strong feedback from both a practicing doctor and internal stakeholders at AXAZ, which showed that the solution had clear relevance, value, and potential for further development.
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Lessons learned
This project taught me how valuable structured exploration can be when working with an early-stage concept. By combining qualitative interviews, journey mapping, prioritization methods, and rapid prototyping, we were able to move from a broad opportunity space to a concrete and testable solution.
It also strengthened my ability to work across business, design, and technology at the same time. I learned how to shape a product vision through insight, translate it into prototypes, and support a team in turning that direction into a functioning proof of concept.
Key takeaways from the project
Interviews and journey mapping helped us identify real problems in consultations and focus the solution on meaningful needs.
The Design Sprint framework gave the team a clear process for moving from uncertainty to a validated proof of concept in just six weeks.
Leading the prototyping work in Figma helped create a shared direction for development and made the concept easier to build in Appfarm.