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Designing a Personalized AI Mental Health App to Improve Emotional Self-Care Consistency
Designing a Personalized AI Mental Health App to Improve Emotional Self-Care Consistency
Designing a Personalized AI Mental Health App to Improve Emotional Self-Care Consistency
MoodMate is an AI-powered therapy app designed to provide empathetic, real-time mental health support through daily check-ins, mood tracking, and personalized insights. It helps users build consistent self-care habits, gain emotional clarity, and access affordable support anytime they need it.
Project type: Personal / Concept
My role: UX Designer (End-to-end)
Timeline: 4 weeks
Tools: Figma
Problem Statement
Process
I followed a human-centered, iterative process to ensure the solution was grounded in real user needs and continuously validated through testing—especially important in a sensitive domain like mental health.
I followed a human-centered, iterative process to ensure the solution was grounded in real user needs and continuously validated through testing—especially important in a sensitive domain like mental health.
Goal:
Help people with mild–moderate mental health struggles build a consistent self-care routine.
Primary user pain:
consistency + emotional tracking + affordability barriers
What I designed:
AI-guided check-ins + mood tracking + tailored recommendations
How success is measured:
activation, weekly retention, check-in completion, perceived helpfulness
Empathise
Research
User Interviews
I conducted 1:1 semi-structured interviews to understand the emotional context behind users’ self-care behaviors — specifically how they manage stress, what prevents consistency, and how they perceive AI-driven support. Because mental health is highly personal, I needed qualitative insights to uncover motivations, trust concerns, and emotional patterns that quantitative data alone could not reveal.
I conducted 1:1 semi-structured interviews to understand the emotional context behind users’ self-care behaviors — specifically how they manage stress, what prevents consistency, and how they perceive AI-driven support. Because mental health is highly personal, I needed qualitative insights to uncover motivations, trust concerns, and emotional patterns that quantitative data alone could not reveal.
Do you currently use any mental health or therapy apps?
What motivates you to use a mental health app?
How often do you reflect on your emotions intentionally?
What is your biggest barrier to consistent self-care?
What makes a mental health app feel “helpful”?
What makes you stop using a mental health app?
Would you feel comfortable talking to an AI about your emotions?
What features are most important in a mental health app?
How important is privacy when using a mental health app?
If an app helped you reflect consistently for 4 weeks, would you continue using it?
Do you currently use any mental health or therapy apps?
What motivates you to use a mental health app?
How often do you reflect on your emotions intentionally?
What is your biggest barrier to consistent self-care?
What makes a mental health app feel “helpful”?
What makes you stop using a mental health app?
Would you feel comfortable talking to an AI about your emotions?
What features are most important in a mental health app?
How important is privacy when using a mental health app?
If an app helped you reflect consistently for 4 weeks, would you continue using it?
Key insights
Emotional Support Is Desired — But Consistency Is the Real Struggle
Generic Advice Quickly Breaks Trust
Privacy and Emotional Safety Are Non-Negotiable
Users Prefer Low-Effort Emotional Check-Ins
Progress Visibility Increases Motivation
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Designing a Personalized AI Mental Health App to Improve Emotional Self-Care Consistency
Designing a Personalized AI Mental Health App to Improve Emotional Self-Care Consistency
Designing a Personalized AI Mental Health App to Improve Emotional Self-Care Consistency
MoodMate is an AI-powered therapy app designed to provide empathetic, real-time mental health support through daily check-ins, mood tracking, and personalized insights. It helps users build consistent self-care habits, gain emotional clarity, and access affordable support anytime they need it.
Project type: Personal / Concept
My role: UX Designer (End-to-end)
Timeline: 4 weeks
Tools: Figma
Problem Statement
Process
I followed a human-centered, iterative process to ensure the solution was grounded in real user needs and continuously validated through testing—especially important in a sensitive domain like mental health.
I followed a human-centered, iterative process to ensure the solution was grounded in real user needs and continuously validated through testing—especially important in a sensitive domain like mental health.
Goal:
Help people with mild–moderate mental health struggles build a consistent self-care routine.
Primary user pain:
consistency + emotional tracking + affordability barriers
What I designed:
AI-guided check-ins + mood tracking + tailored recommendations
How success is measured:
activation, weekly retention, check-in completion, perceived helpfulness
Empathise
Research
User Interviews
I conducted 1:1 semi-structured interviews to understand the emotional context behind users’ self-care behaviors — specifically how they manage stress, what prevents consistency, and how they perceive AI-driven support. Because mental health is highly personal, I needed qualitative insights to uncover motivations, trust concerns, and emotional patterns that quantitative data alone could not reveal.
I conducted 1:1 semi-structured interviews to understand the emotional context behind users’ self-care behaviors — specifically how they manage stress, what prevents consistency, and how they perceive AI-driven support. Because mental health is highly personal, I needed qualitative insights to uncover motivations, trust concerns, and emotional patterns that quantitative data alone could not reveal.
Do you currently use any mental health or therapy apps?
What motivates you to use a mental health app?
How often do you reflect on your emotions intentionally?
What is your biggest barrier to consistent self-care?
What makes a mental health app feel “helpful”?
What makes you stop using a mental health app?
Would you feel comfortable talking to an AI about your emotions?
What features are most important in a mental health app?
How important is privacy when using a mental health app?
If an app helped you reflect consistently for 4 weeks, would you continue using it?
Do you currently use any mental health or therapy apps?
What motivates you to use a mental health app?
How often do you reflect on your emotions intentionally?
What is your biggest barrier to consistent self-care?
What makes a mental health app feel “helpful”?
What makes you stop using a mental health app?
Would you feel comfortable talking to an AI about your emotions?
What features are most important in a mental health app?
How important is privacy when using a mental health app?
If an app helped you reflect consistently for 4 weeks, would you continue using it?
Key insights
Emotional Support Is Desired — But Consistency Is the Real Struggle
Generic Advice Quickly Breaks Trust
Privacy and Emotional Safety Are Non-Negotiable
Users Prefer Low-Effort Emotional Check-Ins
Progress Visibility Increases Motivation
/
/
Designing a Personalized AI Mental Health App to Improve Emotional Self-Care Consistency
Designing a Personalized AI Mental Health App to Improve Emotional Self-Care Consistency
Designing a Personalized AI Mental Health App to Improve Emotional Self-Care Consistency
MoodMate is an AI-powered therapy app designed to provide empathetic, real-time mental health support through daily check-ins, mood tracking, and personalized insights. It helps users build consistent self-care habits, gain emotional clarity, and access affordable support anytime they need it.
Project type: Personal / Concept
My role: UX Designer (End-to-end)
Timeline: 4 weeks
Tools: Figma
Problem Statement
Process
I followed a human-centered, iterative process to ensure the solution was grounded in real user needs and continuously validated through testing—especially important in a sensitive domain like mental health.
I followed a human-centered, iterative process to ensure the solution was grounded in real user needs and continuously validated through testing—especially important in a sensitive domain like mental health.
Goal:
Help people with mild–moderate mental health struggles build a consistent self-care routine.
Primary user pain:
consistency + emotional tracking + affordability barriers
What I designed:
AI-guided check-ins + mood tracking + tailored recommendations
How success is measured:
activation, weekly retention, check-in completion, perceived helpfulness
Empathise
Research
User Interviews
I conducted 1:1 semi-structured interviews to understand the emotional context behind users’ self-care behaviors — specifically how they manage stress, what prevents consistency, and how they perceive AI-driven support. Because mental health is highly personal, I needed qualitative insights to uncover motivations, trust concerns, and emotional patterns that quantitative data alone could not reveal.
I conducted 1:1 semi-structured interviews to understand the emotional context behind users’ self-care behaviors — specifically how they manage stress, what prevents consistency, and how they perceive AI-driven support. Because mental health is highly personal, I needed qualitative insights to uncover motivations, trust concerns, and emotional patterns that quantitative data alone could not reveal.
Do you currently use any mental health or therapy apps?
What motivates you to use a mental health app?
How often do you reflect on your emotions intentionally?
What is your biggest barrier to consistent self-care?
What makes a mental health app feel “helpful”?
What makes you stop using a mental health app?
Would you feel comfortable talking to an AI about your emotions?
What features are most important in a mental health app?
How important is privacy when using a mental health app?
If an app helped you reflect consistently for 4 weeks, would you continue using it?
Do you currently use any mental health or therapy apps?
What motivates you to use a mental health app?
How often do you reflect on your emotions intentionally?
What is your biggest barrier to consistent self-care?
What makes a mental health app feel “helpful”?
What makes you stop using a mental health app?
Would you feel comfortable talking to an AI about your emotions?
What features are most important in a mental health app?
How important is privacy when using a mental health app?
If an app helped you reflect consistently for 4 weeks, would you continue using it?
Key insights
Emotional Support Is Desired — But Consistency Is the Real Struggle
Generic Advice Quickly Breaks Trust
Privacy and Emotional Safety Are Non-Negotiable
Users Prefer Low-Effort Emotional Check-Ins
Progress Visibility Increases Motivation
/
/
Designing a Personalized AI Mental Health App to Improve Emotional Self-Care Consistency
Designing a Personalized AI Mental Health App to Improve Emotional Self-Care Consistency
Designing a Personalized AI Mental Health App to Improve Emotional Self-Care Consistency
MoodMate is an AI-powered therapy app designed to provide empathetic, real-time mental health support through daily check-ins, mood tracking, and personalized insights. It helps users build consistent self-care habits, gain emotional clarity, and access affordable support anytime they need it.
Project type: Personal / Concept
My role: UX Designer (End-to-end)
Timeline: 4 weeks
Tools: Figma
Problem Statement
Process
I followed a human-centered, iterative process to ensure the solution was grounded in real user needs and continuously validated through testing—especially important in a sensitive domain like mental health.
I followed a human-centered, iterative process to ensure the solution was grounded in real user needs and continuously validated through testing—especially important in a sensitive domain like mental health.
Goal:
Help people with mild–moderate mental health struggles build a consistent self-care routine.
Primary user pain:
consistency + emotional tracking + affordability barriers
What I designed:
AI-guided check-ins + mood tracking + tailored recommendations
How success is measured:
activation, weekly retention, check-in completion, perceived helpfulness
Empathise
Research
User Interviews
I conducted 1:1 semi-structured interviews to understand the emotional context behind users’ self-care behaviors — specifically how they manage stress, what prevents consistency, and how they perceive AI-driven support. Because mental health is highly personal, I needed qualitative insights to uncover motivations, trust concerns, and emotional patterns that quantitative data alone could not reveal.
I conducted 1:1 semi-structured interviews to understand the emotional context behind users’ self-care behaviors — specifically how they manage stress, what prevents consistency, and how they perceive AI-driven support. Because mental health is highly personal, I needed qualitative insights to uncover motivations, trust concerns, and emotional patterns that quantitative data alone could not reveal.
Do you currently use any mental health or therapy apps?
What motivates you to use a mental health app?
How often do you reflect on your emotions intentionally?
What is your biggest barrier to consistent self-care?
What makes a mental health app feel “helpful”?
What makes you stop using a mental health app?
Would you feel comfortable talking to an AI about your emotions?
What features are most important in a mental health app?
How important is privacy when using a mental health app?
If an app helped you reflect consistently for 4 weeks, would you continue using it?
Do you currently use any mental health or therapy apps?
What motivates you to use a mental health app?
How often do you reflect on your emotions intentionally?
What is your biggest barrier to consistent self-care?
What makes a mental health app feel “helpful”?
What makes you stop using a mental health app?
Would you feel comfortable talking to an AI about your emotions?
What features are most important in a mental health app?
How important is privacy when using a mental health app?
If an app helped you reflect consistently for 4 weeks, would you continue using it?
Key insights
Emotional Support Is Desired — But Consistency Is the Real Struggle
Generic Advice Quickly Breaks Trust
Privacy and Emotional Safety Are Non-Negotiable
Users Prefer Low-Effort Emotional Check-Ins
Progress Visibility Increases Motivation