Blue-sky thinking and chat feature add for a UK social enterprise focused on youth mental health
Socialheads is a pre-seed social impact startup building a messaging platform to connect young people receiving mental health support with care workers providing services. The team are addressing a critical gap — existing communication tools can be too informal or lack safeguarding requirements, while clinical support tools might not emphasise the importance of engaging youth. My solution focuses on adaptive communication modes, recognising young people's needs based on context, emotional state, and their environment.
Try the prototypeYouth (ages 13–21) in vulnerable situations can often face constant barriers to consistent communication with support workers. Support workers themselves can find it difficult to differentiate urgency and maintain privacy with traditional platforms, which can either be too informal lacking safeguarding features, or too clinical preventing genuine engagement from developing.
The Socialheads team had already engaged in user research with support workers, asking a range of questions across existing tools, requirements needed in such an app, and relaying experiences communicating with young people over a mix of different tools.
Research Finding 1
Communication needs often change: Young people's capacity for communicating with their social workers can change based on time, location, and emotional state.
Research Finding 2
Confidentiality and trust can be difficult to achieve: building trust is necessary over transparent communication and a safe platform.
Research Finding 3
Prioritization Paralysis: Workers struggle to triage which young people need immediate attention vs. routine follow-up.
After synthesising over 260 analysis points and distilling them into main themes, I had to think about what would be both an achievable and desirable feature add. As emphasised by the Socialheads founder and product designer, context and environment dictate communication styles. I thought that focusing on the user's context to inform a differentiated product positioning would be the most important thing to focus on, with a view to increase youth engagement.
I first explored 2 different potential user flows in a free-flowing brainstorm, talking through my initial ideas with the founder. My initial thoughts surrounding the first exploratory user flow above was around eliminating youth frustration with having to 'start over' with a new caseworker. I found in the interview quotes that many caseworkers and youth were both frustrated in different ways with the handover process that can often happen in these cases. Young people feel they don't want to recount their life stories again to someone new, and caseworkers find that forming a new and lasting connection again can be difficult.
While I thought this was an interesting concept to explore, we ultimately rejected this concept for a couple of reasons:
The approach we did decide to pursue was Flow 2, where the concept was to streamline communication with an embedded mode selection and contextual communication options, i.e. if the user was in their home or at school. We thought this would address core issues as noted in the research:
To attempt to establish scalability and consistency across the app, I established a comprehensive design system encompassing clean fonts, calming colors, and an adaptive component library. It was an interesting challenge trying to design an interface that could serve different situations, such as a youth in crisis and a youth casually checking in with their caseworker.
While formal usability testing was not conducted within the project timeline, the designs were presented back to the founder to validate business positioning and differentiation strategy, and the Founding Designer for a technical feasibility review and design system scalability.
Overall there was strong enthusiasm for the adaptive mode system as a key differentiator. One of the main feedback points that could be explored or taken forward by the team was the suggestion for offline functionality as critical for local authority procurement. There were some other questions and discussions around the feasibility of 'AI detection' of sentiment in the pictures drawn or in alarming language used within the app.
Final project deliverables in addition to the presentation:
Validated "space between consumer messaging and clinical case management" positioning.