Designing for Mindfulness and Emotional Resilience:
AI Coach, Emotion Tracking, and Anonymous Support System

Designing for Mindfulness and Emotional Resilience:
AI Coach, Emotion Tracking, and Anonymous Support System

Designing for Mindfulness and Emotional Resilience: AI Coach, Emotion Tracking, and Anonymous Support System

Designing for Mindfulness and Emotional Resilience: AI Coach, Emotion Tracking, and Anonymous Support System

#UX_Research, #Emotional_Design, #AI_Chatbot_Design
#UX_Research, #Emotional_Design, #AI_Chatbot_Design
#UX_Research, #Emotional_Design, #AI_Chatbot_Design

Overview

About this project
About this project

As part of a design team, I helped create Mindsight, a mindfulness and emotional resilience app. Initially assisting with various UX tasks, I soon found myself responsible for key features that shaped the emotional experience of the app: AI expert coaching and anonymous sticker-sharing features. Additionally, I contributed to improving the UX of emotions tracking, ensuring users had a more intuitive way to express their emotions.

Team

Jowang Kim (Lead Designer)

Jowang Kim (Lead Designer)

Se Yeon Kim (Designer)

Eun Yu (Research Advisor)

Se Yeon Kim (Designer)

Assem Oinar (Designer)

Assem Oinar (Designer)

My Responsibilities
My Responsibilities

UX Research

UX Research

AI Chatbot Design

AI Chatbot Design

Feature Ideation

Feature Ideation

Wireframing

Wireframing

UX/UI Design

UX/UI Design

QA Testing

QA Testing

Timeline

8 months

8 months

(Full app design & development)

(Full app design & development)

Tools

Figma

Figma

Notion

Notion

Google Workspace

Google Workspace

Challenge Highlight

Problem Statement

When your job revolves around helping others — supporting others, dedicating yourself to service, giving your energy every day — your own well-being often takes a backseat. This was the reality for many of our users. So, Mindsight's goal was to help employees working in high-stress and emotionally intensive environments.

As I listened to our users, I found that:
Users had
stress, anxiety, and burnout
Users had stress, anxiety, and burnout

Many users felt emotionally drained due to high-pressure work environments.

Many users felt emotionally drained due to high-pressure work environments.

They needed
an expert guidance
They needed an expert guidance

Users were used to staying strong for others, but deep down, they wished someone could help them process their feelings.

Users were used to staying strong for others, but deep down, they wished someone could help them process their feelings.

They wanted
to feel supported
They wanted to
feel supported
They wanted to feel supported

Despite of their hard work, users felt unseen and unappreciated. They wanted to connect with someone, but felt uncomfortable sharing personal details.

Despite of their hard work, users felt unseen and unappreciated. They wanted to connect with someone, but felt uncomfortable sharing personal details.

People wanted to feel seen and supported. So:

The Question:

How can we create moments of emotional support
that feel safe and easy to engage with - even on a busy day?
How can we create moments of emotional support that feel safe and easy to engage with - even on a busy day?

Solution Highlight

The Solution:
Bringing AI & Social Connection in Mindsight App
Track Your Feelings
Track Your Feelings
Reflect on your feelings
to get insights and personalized support.
Reflect on your feelings
to get insights and personalized support.
Meet Jia - Your AI Mindfulness Coach
Meet Jia - Your AI Mindfulness Coach

Talk to Jia after recording your feelings.
Jia is a wise AI coach that listens and guides.

Talk to Jia after recording your feelings.
Jia is a wise AI coach that listens and guides.

Feel Support Through Stickers
Feel Support Through Stickers

Share small gestures of kindness.
No names. No details. Just kindness.

Share small gestures of kindness.
No names. No details. Just kindness.

Get the Mindsight App
Get the Mindsight App

Build resilience, transform your life.

Build resilience, transform your life.

Process
Research

User Interviews

Desk Research

Competitor Analysis

Synthesis

Interview Analysis

Persona

AI Bot Personality

Ideation

Design Ideas

Flowcharts

Wireframes

Design

Final Design

Prototype

Review

QA Tests & Updates

Post Design

Research Results

User Interviews

Before jumping into designs, we wanted to understand the challenges of our users and how they deal with them.

So I interviewed 7 employees from a high-pressure and emotionally demanding workplace.

I analyzed the interview data using Affinity diagram to get insights and brainstorm design ideas:

After analyzing the interviews, I found that:

  1. Employees experience:
Extremely busy schedule

Our users work a lot!

Stress, secondary trauma, anxiety, depression, and burnout

As social workers, they have emotionally demanding workload.

  1. To cope with mental challenges, employees prefer:
Solo well-being methods

Like breathing exercises, self-reflection, and mood tracking.

Social support

Like talking to someone, peer support, and seeking help from experts.

  1. But many employees don't want to:
Spend too much time on consultations

They can spend less than 25 min for the whole experience.

Share personal details about their struggles

They don't want to pressure others and share personal sensitive information.

Watch the same mindfulness videos as offered by other platforms

"There must be a difference from YouTube and other SNS stuff."

Research Results

Desk Research

Then, I wanted to understand how to satisfy users' needs and offer support they actually needed. So I conducted a desk research.

Based on research findings, I found that:

Insight 1:

Employees didn't just need wellness videos and guided meditations -
they also needed to feel seen and supported.
Employees didn't just need wellness videos and guided meditations -
they also needed to feel seen and supported.

*Based on UNHCR Report, Harvard Business Review, and Wikipedia

Synthesis

Persona

Based on research insights, I developed three personas that represented the characteristics of our users:

Ideation

The Inspiration: Little Things That Meant a Lot
The most impactful moments came from simple gestures in everyday life ✨

I didn’t immediately know what the solution was. To understand how to deal with mental problems, our team took field trips to experience art therapy, meditations, and breathing techniques in person. Even though these therapies were helpful, there was something else that helped me to recharge on bad days.

When we shared the same moments together
When someone left snacks for me on a bad day
When I found a gift from my coworkers
When someone left funny memes on draft pages

When someone left snacks for me on a bad day

When we shared the same moments together

When someone left funny memes on draft pages

When I found a gift from my coworkers

I’d leave something too — little doodles, cute pictures, or a cup of coffee.
These weren’t grand acts of support, but they but they still mattered🥰
That’s when it clicked:

Insight 2:

What if we could bring that same warmth and gentle support into our app?
What if we could bring that same warmth and gentle support into our app?

Ideation

Where to integrate new gentle support features?

We didn’t want to create a heavy wellness “system.” So, I was thinking about helping our users when they felt down, just like my coworkers supported me!

New features could be linked to the Emotion Tracking:
  1. Anonymous support
Anonymous support

We could create a system where users empathize, comfort, and support each other without sharing personal details.

We could create a system where users empathize, comfort, and support each other without sharing personal details.

  1. Mindful guidance
Mindful guidance

Have you ever had a wise team leader or mentor who was always there to help you? That's exactly what we needed!

Have you ever had a wise team leader or mentor who was always there to help you? That's exactly what we needed!

  1. Personalized support
Personalized support

These support features should match users' feelings, creating a moment of connection.

These support features should match users' feelings, creating a moment of connection.

But first, we needed a better way to record users' feelings more accurately. Before we had:
So, we upgraded the emotion tracking experience and added our support system to the flow:

Ideation

Wireframes

So let me introduce our ideas with wireframes:

  1. A More Intuitive Emotion Tracking
  1. A More Intuitive Emotion Tracking

We improved the emotion tracking experience to make it more intuitive and aligned with real emotional patterns.

We improved the emotion tracking experience to make it more intuitive and aligned with real emotional patterns.

To find your emotional state,
just ask yourself these questions:
To find your emotional state,
just ask yourself these questions:
  • Do I feel good or bad right now?

  • Do I feel good or bad right now?

  • Do I feel energetic or low energy?

  • Do I feel energetic or low energy?

  1. Anonymous Sticker Exchange Wireframes
  1. Anonymous Sticker Exchange Wireframes

Then we worked on a feature where users could anonymously share stickers with someone who had a similar emotional log.

Then we worked on a feature where users could anonymously share stickers with someone who had a similar emotional log.

In-house stickers as small gestures of care
In-house stickers as
small gestures of care
In-house stickers as small gestures of care

Of course, buying coffee for every user is expensive! So, we created a digital version of uplifting support that users can exchange—just like we did in our office.

Of course, buying coffee for every user is expensive! So, we created a digital version of uplifting support that users can exchange—just like we did in our office.

  1. AI Mentor Wireframes
  1. AI Mentor Wireframes

Lastly, we integrated an AI chatbot based on OpenAI’s language models.

Lastly, we integrated an AI chatbot based on OpenAI’s language models.

To design a wise and supportive mentor,
I was responsible for:
To design a wise and supportive mentor, I was responsible for:
To design a wise and supportive mentor,
I was responsible for:
  • AI Chatbot UX flow

  • AI Chatbot UX flow

  • AI bot personality

  • AI bot personality

  • AI bot's language tone

  • AI bot's language tone

  • Helping with OpenAI prompt

  • Helping with OpenAI prompt

  • UI design

  • UI design

Here's how it looked like:

More Research?

New Challenge on Our Way
We didn't know how to create an emotionally intelligent and empathetic AI bot 😰

To figure this out, I read lots of articles and guidelines on developing an AI bot. Based on my research, I found that I needed to think about the bot's personality, response tone and style. So, I analyzed other existing chatbots, including: Wysa, Moodee, Ada, and Youper.

Ideation

AI mentor personality
🌊 Meet Jia — your wise and gentle guide inspired by the flowing river.

Based on research and competitor analysis insights, we wanted to create a bot that didn't felt too robotic and structured. We wanted to create a warm and gentle guiding experience. That's why I collaborated with our mindfulness mentors, AI experts, and backend teams to develop Jia.

Design

Final Design and Prototype
1.
Intuitive Emotion Tracking

We helped users to pinpoint their feelings using an emotional wheel. This allowed more expressive check-ins and reflected the complexity of their emotional reality.

2.
Anonymous Empathy Stickers

Users could send a sticker with a message to someone else who recorded a similar emotion. They could also receive a sticker in return. This feature provides a safe and uplifting emotional connection, without pressure.

3.
Jia - The AI Mindfulness Mentor

Jia is a gentle, wise, and empathetic mentor. Her conversational style was carefully shaped to be comforting, respectful, and subtly insightful, aligning with user needs.

Review

Post Design Results

Our design team participated in Quality Assurance test sessions to test the features across Samsung and iPhone devices. After reporting all the bugs and updating our designs, we worked with the development team to fine-tune interactions and smooth transitions.

As a result, we:
Confirmed successful QA testing
Confirmed successful QA testing
Wrapped Pilot Testing
Wrapped Pilot Testing
Launched on Apple and Google Play Store
Discussing a potential partnership with UNHCR and WHO
Discussing a potential partnership with UNHCR and WHO

Reflection

Conclusion

Sometimes, the most meaningful experiences come from small gestures of kindness—getting an advice from someone wise, a moment of reflection, or a sticker that simply says, “You’re not alone.”

It was my first experience working at a Korean company! I'm so grateful for being able to design such an important app and its features! This project taught me emotional UX, where I learned a lot about designing for mindfulness and mental well-being. We ensured that every touchpoint was intentional, thoughtful, and rooted in what users really needed: to feel seen, safely.

To my design teammates and app developers:
Thank You! 💖

Thank you for your trust, your openness, kindness - and teaching me everything you know! Every shared idea, field trip, coffee break, and even small snacks from you shaped this app into something more human and real.

Together, we created a safe space where every user could feel seen and supported. That, to me, is the magic of good design✨

The End

Have any questions?
Please contact me if you'd like to discuss the details of this project!
I'm always ready for an interview or a coffee chat :)
Please contact me if you'd like to discuss the details of this project! I'm always ready for an interview or a coffee chat :)
oinarassem@gmail.com