Case study
Project NAFAS
Designing a voice-first psychological safety companion for time-constrained triathletes, reducing cognitive load, respecting athlete autonomy, and delivering non-judgmental support through Kona, an AI-powered companion.
- Role
- Lead UX/UI Designer · UX Research · Design Strategy · Prototyping
- Timeline
- Ongoing
- Tools
- Figma · Lovable · Supabase · AI-assisted exploration
- Outcome
- Voice-first psychological safety companion
- HealthTech
- AI-Native
- Mobile
- Voice-First
Overview
NAFAS is a voice-first psychological safety companion for time-constrained triathletes and endurance athletes. The app pairs a non-judgmental AI companion, Kona, with daily check-ins, post-workout reflection, and lightweight insights to help athletes manage stress, build confidence, and maintain mental clarity alongside their existing training platforms.
The design challenge was not to replace coaching. Garmin and TrainingPeaks already handle performance data; NAFAS exists in the gap those tools don't touch, the psychological dimension of the training cycle. Every decision was tested against three questions: does this reduce cognitive load, does this respect athlete autonomy, and does this maintain psychological safety?

Problem & UX Research
Endurance athletes, especially triathletes balancing training with work and life, have no dedicated digital space for the psychological side of their sport. The tools that exist are built for performance data, not mental state.
What Athletes Were Experiencing
- Anxiety, stress, and confidence loss mid-cycle with no low-friction outlet for reflection.
- Existing platforms (Garmin, TrainingPeaks) surface performance metrics but provide nothing for psychological support.
- No digital tools existed specifically for psychological safety in endurance training, athletes were managing this gap informally or not at all.
Design Goals
- Build a clear, low-friction onboarding experience that earns trust before asking for vulnerability.
- Deliver consistent, non-judgmental support through Kona without crossing into coaching or medical advice.
- Enable daily and post-workout check-ins that feel safe and lightweight, not like another task on the list.
- Provide minimal, reassurance-focused insights that reinforce confidence rather than highlight deficits.
- Respect athlete autonomy at every decision point: tone, frequency, and interaction style.
Strategy & Discovery
The research phase drew from three parallel sources: a competitive audit of endurance platforms, sports psychology literature on stress and burnout, and HCI research on voice-first, low-cognitive-load interfaces. The convergent finding shaped the entire design direction: the mental side of training is a relational problem, not a content problem.
Key Research Insights
- Athletes respond best to concise, empathic prompts, verbose or metrics-heavy responses increase anxiety rather than reduce it.
- Visual overload and excessive data are counterproductive in a psychological safety context: the experience needs to feel calm, not informative.
- Control over notifications, tone, and interaction frequency is a prerequisite for trust, athletes disengage when the app feels prescriptive.
- Existing platforms treat mental wellbeing as a content problem (articles, videos); NAFAS needed to treat it as a relational one, a companion, not a library.
Success Criteria
- Athletes complete onboarding without confusion, Kona's role as companion (not coach) is understood before the first real interaction.
- Check-in flows feel safe, supportive, and low-friction rather than clinical or interrogative.
- Users can locate insights, reminders, and chat within five seconds of landing on the home screen.
Design Process
AI-Assisted Design Approach
This project used AI-assisted tools to accelerate ideation and test conversational tone. Lovable enabled rapid prototyping of onboarding flows and check-in screens. AI was used to generate layout alternatives, simulate emotional check-in scenarios, and test copy clarity at speed. All UX decisions, prioritisation, and strategy were led by me, AI was a collaborative tool, not a decision-maker.
Low-Fidelity Wireframes
Four wireframe screens were developed to validate the core interaction model before moving to high-fidelity design. Each screen addressed a distinct part of the experience: the home layout, the daily check-in flow, the Kona chat interface, and the insights screen.
Home Screen Architecture
The home screen is divided into two functional areas. The top section establishes Kona's presence and surfaces the primary 'Talk to Kona' CTA. The lower section shows weekly workouts and life/admin reminders. This structure creates a predictable, low-cognitive-load layout that directs attention without competing for it, athletes know exactly where to look the moment they open the app.
Onboarding Design
Onboarding collects the minimum needed for Kona to feel contextually relevant: experience level, stress response style, primary worries, and tone preference. The flow uses progressive disclosure, Kona introduces itself through a brief check-in before requesting any personal information. Optional Garmin and TrainingPeaks integrations appear after the core flow, not during it. Asking for vulnerability requires earning trust first.
Kona Chat & Voice-First Interaction
Kona's interaction model is voice-first: tap to start, tap to stop recording. Text input is always available as an alternative, the choice respects different contexts and preferences. Responses are concise, reflective, and non-judgmental. A hard constraint was built into the response framework: Kona never gives coaching or medical advice. When the model lacked confidence, it acknowledged its limit rather than generating a plausible-sounding response. Athletes in early testing responded better to honesty than to overconfidence.
Post-Workout Check-In
The check-in separates emotional and physical scales to prevent conflation, athletes often rate physical performance well while emotional state is poor, and the design needed to honour that distinction. A voice note option adds depth without requiring it. Kona responds with validation and reassurance only: no performance analysis, no recommendations, no unsolicited comparisons.
Solution & Key Improvements
The upgraded designs refined visual hierarchy, tightened the onboarding flow, and optimised the home layout for quick access to key actions. Every screen was evaluated against the same three questions that guided the project from the start: cognitive load, autonomy, and psychological safety.
- Voice-first check-in with text fallback, access to Kona is always one tap from the home screen.
- Progressive onboarding that earns trust before requesting vulnerability, Kona speaks first.
- Separate emotional and physical check-in scales preventing performance conflation.
- Text-only insights screen with weekly reassurance messages and a CTA to continue the conversation with Kona.
- Editable life/admin reminders with optional push notifications, maximum control, minimum overhead.
- Clear role boundary maintained at every interaction point: Kona is a companion, not a coach.
Results
User testing is scheduled following the design review. Sessions will run with 6–10 endurance athletes unfamiliar with NAFAS, using remote moderated think-aloud protocols to validate onboarding clarity, chat usability, and perceived psychological safety.
- 6–10
- Athletes recruited for upcoming moderated usability sessions
- 1 tap
- Access to Kona from any screen, the primary friction reduction target
- 0
- Coaching or medical advice from Kona, a hard, non-negotiable design constraint
Learnings
Designing for psychological safety requires different constraints than designing for usability or conversion. The standard success metrics don't apply, success here is measured by whether the user feels safe enough to be honest, not whether they completed a funnel.
- AI honesty about its limits builds more trust than confident-sounding generic responses, athletes responded better to 'I'm not certain' than to plausible-but-wrong reassurance.
- Cognitive load is a psychological safety risk in this context, not just a usability inconvenience, every extra decision point is a potential exit for an already-stressed athlete.
- AI-assisted design accelerates iteration without replacing judgement: Lovable and AI-generated flows were useful for speed, but every decision about tone, constraint, and role boundary required a human call.
- Voice-first is a trust signal as much as a modality choice, it communicates that the experience is conversational rather than transactional.
Conclusion
NAFAS demonstrates that digital products can serve the psychological dimension of high-performance sport without crossing into coaching, therapy, or prescription. The design succeeds when it disappears, when Kona feels less like an app and more like a consistent, trustworthy presence that helps athletes hear themselves think.
The broader principle is that designing for psychological safety demands the same rigour as any complex UX challenge, but with different constraints. Clarity, honesty, low friction, and respect for autonomy aren't qualities to aim for in this context, they are the product.
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