CLIENT: Academic Project – Master’s in Digital Product Design

LANGUAGE: Spanish

PROJECT PERIOD: 2025

PROJECT STATUS: Delivered

ROLE: End-to-end UX/UI Designer, co-led UX Research

OBJECTIVE:

Design an AI-powered wellbeing assistant that helps older adults prevent, detect, and reduce loneliness through a personalised, holistic understanding of emotional, social, and physical wellbeing – while ensuring the AI feels trustworthy, transparent, and genuinely supportive.

DELIVERABLES:

• Hi-Fi prototype of the Moncho app
• Comprehensive report documenting the full UX/UI process, grounded in Design Thinking and UX research.

USERS:

Older adults, especially those at risk of experiencing loneliness.

APPROACH:

• Design Thinking & Human-Centred Design – Structured the full process through research, ideation, prototyping, and iterative testing.
• AI Transparency & Trust-Building – Designed interactions that explained AI outputs clearly, invited user input, and avoided “black box” behaviours. The AI was framed as collaborative, not authoritative, helping reduce scepticism in older adults.
• User Research – Interviews, workshops, and three rounds of usability testing with older adults and experts to understand emotional needs, digital literacy levels, and attitudes toward AI.
• Benchmarking & Competitive Analysis – Analysed MeetUp, ElliQ, and wellbeing apps to identify gaps in personalisation, accessibility, and trust for this demographic.
• UX Strategy – Defined experience principles: empowerment, prevention, emotional safety, and real-world connection — emphasising AI as a supportive companion.
• Interaction & Information Design – Created flows and content structures that gave users control, allowed them to challenge AI interpretations, and shaped a shared understanding between user and system.
• Accessibility & UX Writing – Applied 16pt minimum typography, colour + shape coding, neutral/positive language, and clear explanations of how suggestions were generated.
• Hi-Fi Prototyping & Iteration – Refined navigation, tone, and data presentation across tests to ensure clarity, comfort, and trust in an AI-driven experience.

BIGGEST PROJECT CHALLENGES:

• Designing AI for a user group often sceptical of automation and data collection.
• Making the AI feel transparent, supportive, and collaborative, rather than intrusive or authoritative.
• Creating personalisation that respects privacy, autonomy, and emotional sensitivity.
• Communicating complex wellbeing insights in a way that aligns with varying levels of digital literacy.

OUTCOME:

The final prototype achieved strong usability scores and users reported that Moncho felt supportive, understandable, and trustworthy.