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Student wellbeing · UX research & design · Fall 2022

Make the next step
towards support easier.

Researching how students understand and seek mental health support, then exploring mood tracking, peer connection, and resource discovery.

My contribution
Data analysis · Interviews · Testing
Team
6 students · U of T Innovation Hub
Research
74 survey responses · 5 interviews
Outcome
Evaluated student app concept

The challenge

Understand why available resources were not always translating into help-seeking, and explore ways to support students’ next step.

My contribution

I led data analysis and took part in interviews and usability evaluations, helping connect research findings to iterations of the prototype.

The iFeel@UofT concept: mood tracking, insights, and peer connection.
The iFeel@UofT concept: mood tracking, insights, and peer connection. View image ↗

01 · Understanding students

Start with the experience of seeking help.

Working with a six-person student team and U of T’s Innovation Hub, we explored students’ views of existing services, their awareness of mental health resources, and their attitudes towards seeking support.

74
survey responses
5
semi-structured interviews
6
student team members

In our survey sample, 12 of 74 respondents said they used U of T mental health support. The study surfaced barriers including stigma, cost, self-reliance, and limited awareness of resources.

These were findings from our project sample, not estimates of the whole student population. I led the analysis and helped bring the qualitative and quantitative material together.

Affinity mapping used to organize the research.
Affinity mapping used to organize the research. View image ↗

02 · Shaping the concept

Move from a feature list to moments of support.

A research-based persona helped the team connect the findings to a student experience. We generated ideas, then reviewed them for feasibility and potential impact.

The concept focused on three connected needs:

  • Record moods and receive short, relevant insights.
  • Share thoughts and feelings anonymously through a peer space.
  • Find appropriate resources without a lengthy search.

My interviewing, analysis, and testing work helped inform the direction as the team moved from initial ideas to prototypes.

03 · Prototyping & evaluation

Use each round to change the next one.

Start with low-fidelity flows.

We conducted four lean evaluations using early sketches. Participants responded positively to insights after the mood log and the option of anonymous venting, while asking for changes to the sequence and community features.

Early mood-log and insight sketches.
Early mood-log and insight sketches. View image ↗
Early sketches of the anonymous peer space.
Early sketches of the anonymous peer space. View image ↗

Refine the clickable prototype.

We then conducted six evaluations with four tasks covering the mood log, community, resource access, and starting a journey. A five-second test, task observation, and semi-structured interviews informed the assessment.

The revised mood-log and insights flow.
The revised mood-log and insights flow. View image ↗
The revised UTPeeps community flow.
The revised UTPeeps community flow. View image ↗

Feedback informed the ordering of insights and additional community components. Participants also identified language that could be triggering and features that felt overwhelming when dealing with negative emotions.

04 · Outcomes & next steps

A supportive experience needs careful editing.

The outcome was an evaluated app concept, with a clearer set of changes to pursue: simplify busy screens, review language with a mental health professional, and distinguish peer comments from medical advice.

The project also identified further work on gamification and rewards. The project produced an academic prototype and priorities for further design and professional review.

My team was Huiwen Lu, Yue Fang, Yuhan Zhao, Nayanika Goje, Kehan Tan, and me.

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