Hey! I'm Peter. As a Product and Service Designer, I help turn complex problems into intuitive design solutions that drive both user success and business goals.
What I have learned during my Interaction Design degree has equipped me with a versatile, hands-on toolkit across UX, service, and visual design. During my industry placement at Rapid7, I applied these skills to deliver practical, high-quality design solutions. I am highly adaptable and ready to bring a rigorous design process to a product team.
What I have learned during my Interaction Design degree has equipped me with a versatile, hands-on toolkit across UX, service, and visual design. During my industry placement at Rapid7, I applied these skills to deliver practical, high-quality design solutions. I am highly adaptable and ready to bring a rigorous design process to a product team.
same different is designed to help people understand their likelihood of being autistic and connect them to their local health trust for a formal diagnosis. It was designed to solve long waiting lists, a lack of clear information, and difficult assessment processes. My goal is to put the human back at the centre of the diagnostic process.same different uses standard medical questionnaires and an AI tool to provide clear, easy-to-read results. The app offers practical tips so people can maximise their strengths, reduce daily challenges, and guides them towards a formal diagnosis if required.
same different was built utilising a Human-Centred Design process, beginning with mixed-methods surveys to understand the current diagnostic pathway, support, and user sentiment toward AI. By gathering both quantitative and qualitative insights, I identified core pain points in the existing diagnostic journey. This research highlighted clear opportunities to reduce the administrative burden on overworked professionals while establishing the necessary ethical guardrails for safe, effective AI integration.
To translate these insights into a cohesive design solution, I applied core UX methodologies; including card sorting, persona development, and user journey mapping. These exercises culminated in a comprehensive Service Design Blueprint, which clearly mapped how clinical expertise and innovative AI tools could come together to deliver a seamless, supportive user experience.
With the service architecture established, I developed the core digital product: a mobile app designed to guide users through standardised questionnaires and seamlessly connect them to local services. Adopting an iterative design process, I built and tested low- and mid-fidelity prototypes with a diverse range of users. Each round of usability testing provided data-backed insights, allowing me to continuously refine, validate, and improve the user flow and overall design.
Crucially, to counter the rigid, deficiency-focused nature of standard diagnostic tools, I conducted deep-dive interviews with autism experts and autistic individuals to establish an alternative. By tailoring the app's tone of voice and introducing highly individualised touchpoints—such as generating a unique logo for every user and embedding celebratory moments upon task completion. I ensured the final product felt empathetic, personalised, and built explicitly around the needs of those who would use the app.
The final MVP delivers two core outputs: a comprehensive Service Design Blueprint mapping the adult autism diagnosis pathway, from initial curiosity to formal diagnosis, and a user-facing mobile app that facilitates the triage stage. By enabling users to self-serve, the app empowers them to explore their neurotype without the immediate bottleneck of a GP referral or the financial burden of a private assessment. Designed as a fully self-paced, low-demand experience, it removes clinical time pressures, allowing users to engage with the diagnostic process entirely on their own terms.
The UI is directly informed by accessibility-first brand guidelines tailored specifically to neurodivergent needs. It features highly legible typography, easy-to-understand vocabulary and a low-stimulation colour palette designed to mitigate sensory overload. By leveraging the latest AI tools, the platform delivers a deeply personalised user journey. This dynamic personalisation ranges from generating a unique logo for every user to providing tailored insights and actionable strategies focused on their individual strengths and challenges.
Ultimately, this initial version of same different serves as a powerful proof of concept, demonstrating how technology can revolutionise the diagnostic pathway—starting with autism, with the scalability to support other neurodivergences in the future. It provides a tangible, high-impact prototype to present to health trusts and government bodies, showcasing a scalable model that simultaneously supports individuals seeking answers and alleviates pressure on overextended assessment services.
