Designing an AI-Powered Coaching App for Mental Performance

Designing an AI-Powered Coaching App for Mental Performance

Project overview

Project overview

Our client, experts in personal and professional development coaching approached us to design a mobile app that empowers individuals to enhance their mental and emotional well-being. They developed a proprietary algorithm to detect shifts in mental performance and envisioned a product that would deliver personalized coaching based on biometric data, such as heart rate variability (HRV) and motion context.


The goal was to design the app experience, helping translate the biometric data into timely, actionable coaching that users could easily engage with throughout their day.

🙋🏼‍♀️ My role

🙋🏼‍♀️ My role

  • Conducted discovery workshops with the client to understand their vision and key functionalities

  • Researched similar digital products for insights

  • Crafted user flows and wireframes

  • Defined interaction and mental models for the AI coaching and data visualization

  • Collaborated closely with a UI designer to refine final visuals

  • Conducted discovery workshops with the client to understand their vision and key functionalities

  • Researched similar digital products for insights

  • Crafted user flows and wireframes

  • Defined interaction and mental models for the AI coaching and data visualization

  • Collaborated closely with a UI designer to refine final visuals

Our approach

By combining biometric data monitoring with journaling, we created a way to integrate generative AI into the experience. This allowed the AI to better understand user context and deliver more timely, personalized coaching.

The challenge

The challenge

Commonly used apps often track biometric data and offer performance insights, but they don't provide timely personalized coaching. Users get data, not direction.

Commonly used apps often track biometric data and offer performance insights, but they don't provide timely personalized coaching. Users get data, not direction.

Our approach

Our approach

By combining biometric data monitoring with journaling, we created a way to integrate generative AI into the experience. This allowed the AI to better understand user context and deliver more timely, personalized coaching.

By combining biometric data monitoring with journaling, we created a way to integrate generative AI into the experience. This allowed the AI to better understand user context and deliver more timely, personalized coaching.

The challenge

Commonly used apps often track biometric data and offer performance insights, but they don't provide timely personalized coaching. Users get data, not direction.

Mapping the user journey

Mapping the user journey

I created a user journey to map the step-by-step experience, validate key screens, and define AI’s role in coaching. This guided MVP planning, ensured team alignment, and shaped the clickable prototype.

User Journey Map – Visualizing the experience of a first-time user exploring the app, from onboarding to receiving proactive coaching insights.

Scroll right to explore the journey map 👉🏻

User Journey Map – Visualizing the experience of a first-time user exploring the app, from onboarding to receiving proactive coaching insights.

Analyzing existing solutions

Analyzing existing solutions

With limited user access, analyzing similar apps helped me identify common UX patterns for clarity, engagement, and personalization, ensuring alignment with user expectations and a more intuitive, proactive experience.

With limited user access, analyzing similar apps helped me identify common UX patterns for clarity, engagement, and personalization, ensuring alignment with user expectations and a more intuitive, proactive experience.

Key spotted patterns

Reinforcing positive performance to boost motivation: Celebrate progress and small wins to keep users engaged and motivated.

Customizable alert frequency reduces fatigue: Reinforced importance of allowing users to set the pace of notifications helps avoid overwhelming them.

In-app metric explanations improve clarity: Products that explain data in context make it easier for users to interpret their performance.

Visible data freshness and manual sync build trust: Showing when the data was last updated, and allowing manual sync, add transparency and control.

Defining the design requirements

Defining the design requirements

Based on the validated user journey and insights from similar digital products, we defined design requirements and worked with the client to prioritize the high-impact features. Key priorities included biometric calibration during onboarding, a mental performance tracking dashboard, a conversational coach, and tailored push notifications.

Based on the validated user journey and insights from similar digital products, we defined design requirements and worked with the client to prioritize the high-impact features. Key priorities included biometric calibration during onboarding, a mental performance tracking dashboard, a conversational coach, and tailored push notifications.

MVP Work Breakdown Structure (WBS) created in collaboration with the Product Manager to align on project milestones, key design requirements and prioritize features for this design effort.

Wireframes

Wireframes

I created wireframes for the app's main flows to visualize the AI and journaling integration, align on key interactions, and refine the experience based on client feedback before moving into high-fidelity designs.

I created wireframes for the app's main flows to visualize the AI and journaling integration, align on key interactions, and refine the experience based on client feedback before moving into high-fidelity designs.

Key workflows included

Key workflows included

Onboarding

Onboarding

Set up a personalized baseline score and interact with the AI coach from day one.

Set up a personalized baseline score and interact with the AI coach from day one.

Mental Performance Tracking

Mental Performance Tracking

Visualize their Mental Performance Score in real time and spot trends.

Visualize their Mental Performance Score in real time and spot trends.

AI Coaching & Notifications

AI Coaching & Notifications

Receive alerts whenever the score peaks or dips significantly, along with personalized guidance to stabilize the score.

Receive alerts whenever the score peaks or dips significantly, along with personalized guidance to stabilize the score.

Reflection

Reflection

Log daily context related to the dips and peaks, enabling the AI to deliver more personalized coaching, identify patterns and provide meaningful insights.

Log daily context related to the dips and peaks, enabling the AI to deliver more personalized coaching, identify patterns and provide meaningful insights.

Onboarding process

Onboarding process 👉🏻

Intake questionnaire for calculating mental performance baseline score

Intake questionnaire for calculating mental performance baseline score 👉🏻

Notifications and prompts

Notifications and prompts 👉🏻

Walkthrough exploration

Walkthrough exploration 👉🏻

UI designs and clickable prototype

UI designs and clickable prototype

The project concluded with 3 key outputs: final UI designs, a clickable high-fidelity prototype, and a technical feasibility report created by our engineering team.

Together, these deliverables allowed the client to test and pitch the concept internally and with stakeholders. Based on this work, they have now moved forward into the early stages of product development.

The project concluded with 3 key outputs: final UI designs, a clickable high-fidelity prototype, and a technical feasibility report created by our engineering team.

Together, these deliverables allowed the client to test and pitch the concept internally and with stakeholders. Based on this work, they have now moved forward into the early stages of product development.

💡️ Project take aways

💡️ Project take aways

Work-arounds for limited user access

Work-arounds for limited user access

With limited user access, we leaned on competitor analysis, subject-matter experts' input, and weekly client reviews of wireframes to keep design moving.

With limited user access, we leaned on competitor analysis, subject-matter experts' input, and weekly client reviews of wireframes to keep design moving.

Quick feedback loops drive better design

Quick feedback loops drive better design

Frequent client meetings and design reviews helped us spot issues early, preventing rework further down the design process.

Frequent client meetings and design reviews helped us spot issues early, preventing rework further down the design process.

UXUI Design・Product Design

UXUI Design・Product Design

2025

2025