Pulse IQ is my most recent project, created as part of a Designlab course focused on AI for UX. This page outlines the project’s process, key decisions, and final deliverables.
Pulse IQ is an AI-powered fitness app that seamlessly integrates personalised workout planning, nutrition tracking, and community engagement.
Design brief
Brand voice
PulseIQ’s brand voice is confident, motivating, and intelligently human, blending the clarity of a knowledgeable coach with the encouragement of a trusted training partner. It empowers users to focus on progress over perfection, communicates AI-driven insights in clear and approachable language, and maintains an energetic yet grounded tone that motivates without hype. Personal and empathetic at its core, the voice adapts to users’ goals and real-life constraints, positioning PulseIQ as a modern, AI-enhanced fitness coach that helps people train smarter, not harder.
Logo concepts and mood board
PulseIQ’s visual identity and interface concepts were designed to support clarity, motivation, and everyday usability in an AI-powered fitness experience. Brand elements and UI patterns were developed alongside user goals—reducing intimidation, reinforcing progress, and making guidance feel supportive rather than prescriptive. A green-forward palette, rounded components, and soft depth were chosen to create a calm, approachable environment, while modular cards and data visualizations prioritize scannability and quick comprehension. The interface concepts explore how AI-enhanced coaching, real-time feedback, and habit reinforcement can be surfaced through intuitive layouts and friendly microcopy, translating complex insights into actionable, user-centered moments.
Personas
PulseIQ’s personas represent a wide range of user needs, from time-constrained beginners to data-driven advanced athletes. The set includes Carmen, a busy working parent focused on consistency and injury-aware guidance; Priya, a mindful achiever seeking emotionally supportive, low-anxiety fitness and nutrition insights; and Marcus, an advanced, self-coached athlete who expects expert-level, high-resolution data and AI analysis. Together, these personas informed decisions around adaptability, tone, personalization depth, and feature flexibility across the product. A bias audit was performed to identify and correct assumptions related to age, gender, fitness ability, lifestyle, and motivation, ensuring the personas avoided stereotypes and reflected diverse, realistic behaviors and needs. The final personas were used as ongoing design anchors to validate inclusivity, emotional safety, and usability across different levels of experience and life contexts.
Feature Gap Analysis
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User Journey Map
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More to come...
I'm still working on this project.