Developed through academic collaboration and innovation engagement
Eudemonic AI has been shaped through collaboration and innovation engagement with eight UK universities, spanning feasibility work, questionnaire development, machine-learning model testing, software engineering, pilot-informed analysis, UX/UI design, software security testing and evidence-building for responsible EdTech development.
University logos are shown for academic collaboration context only. They do not imply endorsement, adoption, certification or commercial partnership. Some logos may be used as placeholders pending institutional permission.
University of the Arts London
Development was informed by a university survey wave including approximately 800 completed responses, alongside demographic review, reported academic stress themes, open-text analysis and clustering-based analytical exploration.
Essex Business School
Early-stage feasibility work explored the product concept, market context and institutional relevance of AI-assisted student wellbeing insight as a decision-support tool.
University of Brighton
Machine-learning model testing helped assess analytical approaches for understanding reported stress patterns and grouped cohort-level response behaviour.
Brunel University London
Contributions to survey engineering and academic thinking around questionnaire structure and software implementation informed the platform’s development path.
London South Bank University
Dashboard thinking and visualisation concepts were informed through a Streamlit-based framework exploring wellbeing-related data presentation and cohort-level reporting design.
Manchester Metropolitan University
Innovation programme engagement supported concept maturation, including software security and commercial readiness considerations relevant to institutional deployment discussions.
Lancaster University (CDI)
UX and UI collaboration helped evolve the student-facing survey experience from a functional form into a more guided and reflective interaction flow.
UCL EdTech Labs
Innovation engagement contributed to thinking on evidence-building, responsible EdTech positioning, market readiness and the practical requirements for academic-sector adoption conversations.
Shaped by real student response data from a structured university survey wave
A foundational part of Eudemonic AI’s development was a structured university survey wave conducted with the University of the Arts London.
This work generated a dataset including approximately 800 completed responses, along with demographic analysis, reported academic stress themes, open-ended qualitative material and clustering-based analytical exploration.
These insights helped inform the platform’s questionnaire structure, analytical direction, dashboarding logic, reporting framework and broader product refinement — grounding development in actual student response patterns rather than theoretical assumption alone.
This engagement represents pilot-informed product development. It does not constitute formal adoption, endorsement or institutional deployment by the University of the Arts London.
Designed for guided reflection, not clinical form-filling
The student-facing survey experience was strengthened through UX and UI collaboration conducted via Lancaster University’s Centre for Digital Innovation.
Using Figma and iterative design thinking, the experience evolved from functional data collection toward a more guided and reflective survey journey — aiming to feel purposeful and accessible rather than cold or transactional.
A more thoughtful experience can help improve response quality, reduce friction around sensitive questions and strengthen the usefulness of resulting cohort-level insight.
Figma-Led UX/UI Prototyping
Interface prototyping and user-flow refinement informed by external design collaboration.
Guided Reflection Framework
Question flows were shaped to encourage clearer and more reflective responses rather than rushed completion.
Accessibility-Conscious Design
Inclusivity and usability considerations helped shape a more welcoming survey experience for diverse student populations.