UI / UX Design

Designing a Safe Space to Speak Up

Built “Unreveald,” an anonymous mental health platform that reached 10,000+ users by creating trust and community in a culture that often stays silent

Year :

2025

Industry :

Mental Health

Client :

In-house Product

Project Duration :

6 months

Featured Project Cover Image
Featured Project Cover Image
Featured Project Cover Image

Project Overview

In 2022-2023, I served as Product Owner and UX Lead for Unreveald, India's first privacy-focused mental health community platform. Recognizing that cultural stigma prevents millions of Indians from seeking mental health support, I designed an anonymous, safe-space platform that achieved 10,000+ sign-ups and 5,000 monthly active users within 90 days—significantly outperforming industry benchmarks.

Duration: 12 months (2022-2023)
My Role: Product Owner & UX Lead
Impact: 10,000+ sign-ups, 5,000 MAU, national press coverage
Key Innovation: Cultural stigma-aware design with privacy-by-design architecture

The Mental Health Crisis in Cultural Context

The Scale of the Problem

India contributes 18% of the global population but carries a disproportionate mental health burden. With 150 million Indians needing mental health care but only 30 million seeking help, the treatment gap stands at a staggering 80%. The numbers are even more alarming:

  • 56+ million Indians suffer from depression—the highest globally

  • One in 20 Indians suffers from depression

  • Suicide rate of 12.4 per 100,000 people—the highest since 1967

  • Only 0.75 psychiatrists per 100,000 people (WHO recommends 3 per 100,000)


Cultural Barriers: "Log Kya Kahenge?"

Through my one-on-one user research, I discovered that the phrase "log kya kahenge?" (what will people say?) emerged in every single interview. This singular cultural precept shapes mental health decisions across gender, caste, religion, and socioeconomic lines.

Key Cultural Insights:

  • Family reputation over individual needs: Mental health issues are seen as reflecting badly on entire families, not just individuals

  • Marriage stigma: Mental health history can ruin marriage prospects, leading to secrecy and delayed treatment

  • Spiritual misattribution: Mental illness often attributed to "lack of discipline," "evil spirits," or "black magic"

  • Gender-specific barriers: Traditional masculine roles prevent men from seeking help; women face additional scrutiny about stability


My Role & Research Approach

As Product Owner and UX Lead, I took full ownership of the user experience strategy, from initial concept through post-launch iteration. Working with a small engineering team, I was responsible for:

  • Strategic UX vision and product roadmap

  • User research and cultural insight gathering

  • Information architecture and interaction design

  • Privacy-first UX patterns and anonymity systems

  • Community guidelines and moderation strategy


Research Methodology

Quantitative Research: Conducted one-on-one interviews with 25+ potential users across demographics to understand stigma manifestation and help-seeking barriers.

Qualitative Internet Research: Analyzed mental health discussions across Indian forums, social media, and support groups to identify language patterns, concerns, and unmet needs.

Cultural Context Analysis: Studied existing research on Indian mental health stigma, family dynamics, and privacy expectations to inform design decisions.

UX Strategy: Designing for Cultural Safety

Core Design Principles

Based on my research into mental health UX best practices and Indian cultural context, I established five foundational principles:

1. Privacy-by-Design Architecture

  • End-to-end encryption for all communications

  • Zero personal data collection during onboarding

  • Anonymous account creation with no email/phone requirements

  • Secure data handling with transparent privacy policies

2. Cultural Stigma Mitigation

  • Anonymous posting and interaction to eliminate judgment fears

  • No profile pictures or real names to prevent identification

  • Family-safe language avoiding clinical terminology that triggers shame

  • Discrete notifications that don't reveal mental health content

3. Community-First Safety

  • Moderated forums with trained community managers

  • Peer support groups organized by interests, not diagnoses

  • Professional resource hub with vetted mental health information

  • Crisis intervention protocols for users in distress

4. Progressive Disclosure

  • Simple onboarding that doesn't overwhelm anxious users

  • Optional feature adoption allowing gradual engagement

  • Contextual help appearing only when needed

  • Customizable privacy controls for user agency

5. Emotional Safety Design

  • Calming visual design with soft colors and minimal UI

  • Trigger warning systems for sensitive content

  • Empathetic microcopy using non-judgmental language

  • Multiple content moderation layers to prevent harmful interactions

Key Design Solutions

Anonymous Identity System

Challenge: Users needed to feel completely anonymous while still enabling meaningful community connections.

Solution: Designed a persistent anonymous identity system where users choose color-based usernames (e.g., "Gentle Blue," "Quiet Green") that remain consistent across sessions while revealing no personal information. This pattern, inspired by successful anonymous platforms, allows users to build relationships and reputation without sacrificing privacy.

Three-Tier Community Architecture

1. Open Forums - "Share Safely"

  • Public anonymous posting on topics like anxiety, depression, workplace stress

  • Community moderation with trained volunteer moderators

  • Upvoting system to surface helpful content without revealing voter identity

2. Private Support Groups - "Connect Deeply"

  • Interest-based groups (e.g., "New Parents," "Career Stress," "Students") rather than diagnosis-focused

  • Invite-only spaces with enhanced privacy controls

  • Peer mentorship programs matching experienced users with newcomers

3. Resource Hub - "Learn Privately"

  • Curated mental health information from licensed professionals

  • Self-help tools and coping strategies

  • Anonymous professional consultation booking system


Content Moderation & Safety

Hybrid Moderation System

Drawing from content moderation best practices, I implemented a three-layer safety system:

Layer 1: AI-Powered Pre-screening

  • Keyword filtering for harmful content and spam

  • Sentiment analysis to flag potential crisis situations

  • Automated triggers for mental health resources when distress detected

Layer 2: Community Self-Moderation

  • User reporting system with clear guidelines

  • Peer moderation by trusted community members

  • Transparent moderation actions with explanations

Layer 3: Professional Oversight

  • Licensed counselor review for crisis situations

  • Escalation protocols for users expressing suicidal ideation

  • Regular community health assessments by mental health professionals

Trigger Warning & Content Safety

Implemented comprehensive trigger warning systems based on UX best practices for sensitive content:

  • Content warnings before potentially triggering posts

  • Blurred overlay system for sensitive images

  • User-controlled content filtering by topic

  • Safe word protocols for crisis situations

Onboarding for Vulnerable Users

Anxiety-Aware Onboarding

Recognising that users might be experiencing anxiety or depression when first using the app, I designed a gentle, progressive onboarding that builds trust gradually:

Step 1: Welcome & Safety (30 seconds)

  • Warm, non-clinical welcome message

  • Clear privacy commitment upfront

  • Optional community guidelines tour

Step 2: Anonymous Setup (60 seconds)

  • Color-based username selection

  • Basic privacy preferences

  • Optional notification settings

Step 3: Community Exploration (Self-paced)

  • Guided tour of forum categories

  • Sample posts and conversations

  • "Lurker mode" for read-only access initially

Trust-Building Elements

  • Transparency about data use with plain-language privacy policy

  • Community testimonials (anonymous) about positive experiences

  • Professional endorsements from licensed therapists

  • Clear moderation policies to ensure safety


Measuring Success & Impact

Quantitative Results

Metric

Industry Benchmark

Unreveald Performance

Achievement

Sign-ups (90 days)

1,000-5,000 for new platforms

10,000+

2-10x above benchmark

Monthly Active Users

3.3% retention at 30 days

5,000 MAU (50% of signups)

15x above industry average

Daily Engagement

4% daily active users

~17% daily active rate

4x above industry average

User Retention

3.9% at 15 days

~65% at 15 days

16x above industry average

Our success metrics aligned more closely with employer-provided mental health platforms (51-60% retention) than consumer apps, suggesting our community-first approach created enterprise-level engagement.

Qualitative Success Indicators

Community Health Metrics:

  • Peer support network formation: 80% of active users participated in mutual support

  • Crisis intervention success: 100% of flagged crisis situations received appropriate support

  • Content quality: <2% of posts required moderation action after initial 3 months

  • Professional validation: Endorsements from 5+ licensed mental health professionals

National Recognition

  • Press coverage in major Indian publications highlighting platform's cultural innovation

  • Mental health organization partnerships for resource sharing

  • Academic interest from researchers studying digital mental health in India


Key Design Challenges & Solutions

Challenge 1: Balancing Anonymity with Accountability

Problem: Complete anonymity could enable abuse while accountability might discourage authentic sharing.

Solution: Implemented graduated anonymity system:

  • Public forums: Fully anonymous with community moderation

  • Support groups: Persistent usernames with reputation scores

  • Private conversations: Option for verified anonymous accounts

  • Crisis situations: Secure professional contact protocols

Challenge 2: Cultural Sensitivity at Scale

Problem: Indian culture varies significantly by region, religion, and language—how to be inclusive while remaining culturally aware?

Solution: Community-driven cultural adaptation:

  • Regional community moderators who understand local cultural nuances

  • Multi-language support for Hindi and English with culturally appropriate translations

  • Flexible community guidelines that adapt to different cultural contexts

  • Local mental health resource integration varying by geography

Challenge 3: Professional Integration Without Stigma

Problem: Users wanted access to professional help but feared being identified or judged.

Solution: Anonymous professional consultation system:

  • Anonymous booking through platform with encrypted communications

  • Professional verification without revealing user identity

  • Sliding scale fees to address economic barriers

  • Follow-up support through platform's secure messaging

Technical Innovation: Privacy-First Architecture

Zero-Knowledge Community Platform

Inspired by privacy-first design patterns, I architected a system where platform operators couldn't identify users even if required by law:

  • Encrypted user data with keys held only by users

  • Anonymous analytics that tracked engagement without personal identification

  • Distributed moderation where no single entity had complete user information

  • Self-destructing data options for users who wanted to leave permanently

Mobile-First Responsive Design

Recognizing that mobile usage is dominant in India, especially among younger demographics struggling with mental health:

  • Touch-first interaction design with 44px+ touch targets

  • Offline reading capabilities for users with limited data plans

  • Low-bandwidth optimized for slower internet connections

  • Battery-efficient design to not drain older devices

Lessons Learned & Key Insights

1. Cultural Research is Product Research

Understanding "log kya kahenge" wasn't just cultural context—it was the core product requirement. The platform's success stemmed from designing specifically for Indian cultural barriers, not adapting Western mental health app patterns.

2. Community Beats Features

While I initially focused on features like mood tracking and journaling, peer support forums drove 90% of engagement. Users came for tools but stayed for community—a finding that aligns with research showing peer support apps have the highest retention rates.

3. Privacy Enables Authenticity

Complete anonymity didn't lead to abuse—it led to unprecedented authenticity. When users felt truly safe, they shared more honestly and supported each other more effectively than in identified spaces.

4. Professional Integration Requires Trust

Users wanted professional help but needed gradual trust-building. The most successful feature was the anonymous Q&A with verified therapists, which let users test professional interactions before committing to formal therapy.

5. Moderation is Mental Health Care

Content moderation in a mental health community isn't just about safety—it's a form of care delivery. Our community moderators, trained in basic mental health support, often provided the first positive intervention users experienced.

Long-term Impact & Sustainability

Creating a Mental Health Movement

Unreveald demonstrated that cultural barriers could be overcome through thoughtful design. The platform's success influenced other Indian mental health initiatives to adopt privacy-first, culturally-aware approaches.

Scaling Cultural Innovation

The design patterns we developed—anonymous persistent identity, cultural context-aware moderation, and stigma-sensitive onboarding—have been adopted by other platforms addressing sensitive topics in conservative cultures.

Professional Ecosystem Development

By creating a bridge between anonymous users and verified professionals, Unreveald helped normalize mental health support and provided professionals with a new model for reaching reluctant populations.

Future Applications & Learnings

The UX principles and cultural insights from Unreveald are applicable beyond mental health to any sensitive, stigmatized topic in conservative cultures:

  • Sexual health education in traditional societies

  • Domestic violence support with safety concerns

  • LGBTQ+ community building in non-accepting environments

  • Addiction recovery with family shame concerns

Key Transferable UX Patterns:

  • Cultural stigma-aware onboarding

  • Graduated privacy controls

  • Anonymous professional integration

  • Community-driven moderation

  • Trust-building through transparency

Technical Skills Demonstrated: Cultural UX Research, Privacy-First Design, Community Platform Architecture, Content Moderation Systems, Anonymous Identity Design, Mobile-First Responsive Design, Inclusive Design for Sensitive Topics

Unreveald represents my approach to UX design for sensitive, culturally complex challenges—combining deep empathy research with innovative privacy technology to create platforms that serve vulnerable populations while respecting cultural context and individual dignity.


More Projects

UI / UX Design

Designing a Safe Space to Speak Up

Built “Unreveald,” an anonymous mental health platform that reached 10,000+ users by creating trust and community in a culture that often stays silent

Year :

2025

Industry :

Mental Health

Client :

In-house Product

Project Duration :

6 months

Featured Project Cover Image
Featured Project Cover Image
Featured Project Cover Image

Project Overview

In 2022-2023, I served as Product Owner and UX Lead for Unreveald, India's first privacy-focused mental health community platform. Recognizing that cultural stigma prevents millions of Indians from seeking mental health support, I designed an anonymous, safe-space platform that achieved 10,000+ sign-ups and 5,000 monthly active users within 90 days—significantly outperforming industry benchmarks.

Duration: 12 months (2022-2023)
My Role: Product Owner & UX Lead
Impact: 10,000+ sign-ups, 5,000 MAU, national press coverage
Key Innovation: Cultural stigma-aware design with privacy-by-design architecture

The Mental Health Crisis in Cultural Context

The Scale of the Problem

India contributes 18% of the global population but carries a disproportionate mental health burden. With 150 million Indians needing mental health care but only 30 million seeking help, the treatment gap stands at a staggering 80%. The numbers are even more alarming:

  • 56+ million Indians suffer from depression—the highest globally

  • One in 20 Indians suffers from depression

  • Suicide rate of 12.4 per 100,000 people—the highest since 1967

  • Only 0.75 psychiatrists per 100,000 people (WHO recommends 3 per 100,000)


Cultural Barriers: "Log Kya Kahenge?"

Through my one-on-one user research, I discovered that the phrase "log kya kahenge?" (what will people say?) emerged in every single interview. This singular cultural precept shapes mental health decisions across gender, caste, religion, and socioeconomic lines.

Key Cultural Insights:

  • Family reputation over individual needs: Mental health issues are seen as reflecting badly on entire families, not just individuals

  • Marriage stigma: Mental health history can ruin marriage prospects, leading to secrecy and delayed treatment

  • Spiritual misattribution: Mental illness often attributed to "lack of discipline," "evil spirits," or "black magic"

  • Gender-specific barriers: Traditional masculine roles prevent men from seeking help; women face additional scrutiny about stability


My Role & Research Approach

As Product Owner and UX Lead, I took full ownership of the user experience strategy, from initial concept through post-launch iteration. Working with a small engineering team, I was responsible for:

  • Strategic UX vision and product roadmap

  • User research and cultural insight gathering

  • Information architecture and interaction design

  • Privacy-first UX patterns and anonymity systems

  • Community guidelines and moderation strategy


Research Methodology

Quantitative Research: Conducted one-on-one interviews with 25+ potential users across demographics to understand stigma manifestation and help-seeking barriers.

Qualitative Internet Research: Analyzed mental health discussions across Indian forums, social media, and support groups to identify language patterns, concerns, and unmet needs.

Cultural Context Analysis: Studied existing research on Indian mental health stigma, family dynamics, and privacy expectations to inform design decisions.

UX Strategy: Designing for Cultural Safety

Core Design Principles

Based on my research into mental health UX best practices and Indian cultural context, I established five foundational principles:

1. Privacy-by-Design Architecture

  • End-to-end encryption for all communications

  • Zero personal data collection during onboarding

  • Anonymous account creation with no email/phone requirements

  • Secure data handling with transparent privacy policies

2. Cultural Stigma Mitigation

  • Anonymous posting and interaction to eliminate judgment fears

  • No profile pictures or real names to prevent identification

  • Family-safe language avoiding clinical terminology that triggers shame

  • Discrete notifications that don't reveal mental health content

3. Community-First Safety

  • Moderated forums with trained community managers

  • Peer support groups organized by interests, not diagnoses

  • Professional resource hub with vetted mental health information

  • Crisis intervention protocols for users in distress

4. Progressive Disclosure

  • Simple onboarding that doesn't overwhelm anxious users

  • Optional feature adoption allowing gradual engagement

  • Contextual help appearing only when needed

  • Customizable privacy controls for user agency

5. Emotional Safety Design

  • Calming visual design with soft colors and minimal UI

  • Trigger warning systems for sensitive content

  • Empathetic microcopy using non-judgmental language

  • Multiple content moderation layers to prevent harmful interactions

Key Design Solutions

Anonymous Identity System

Challenge: Users needed to feel completely anonymous while still enabling meaningful community connections.

Solution: Designed a persistent anonymous identity system where users choose color-based usernames (e.g., "Gentle Blue," "Quiet Green") that remain consistent across sessions while revealing no personal information. This pattern, inspired by successful anonymous platforms, allows users to build relationships and reputation without sacrificing privacy.

Three-Tier Community Architecture

1. Open Forums - "Share Safely"

  • Public anonymous posting on topics like anxiety, depression, workplace stress

  • Community moderation with trained volunteer moderators

  • Upvoting system to surface helpful content without revealing voter identity

2. Private Support Groups - "Connect Deeply"

  • Interest-based groups (e.g., "New Parents," "Career Stress," "Students") rather than diagnosis-focused

  • Invite-only spaces with enhanced privacy controls

  • Peer mentorship programs matching experienced users with newcomers

3. Resource Hub - "Learn Privately"

  • Curated mental health information from licensed professionals

  • Self-help tools and coping strategies

  • Anonymous professional consultation booking system


Content Moderation & Safety

Hybrid Moderation System

Drawing from content moderation best practices, I implemented a three-layer safety system:

Layer 1: AI-Powered Pre-screening

  • Keyword filtering for harmful content and spam

  • Sentiment analysis to flag potential crisis situations

  • Automated triggers for mental health resources when distress detected

Layer 2: Community Self-Moderation

  • User reporting system with clear guidelines

  • Peer moderation by trusted community members

  • Transparent moderation actions with explanations

Layer 3: Professional Oversight

  • Licensed counselor review for crisis situations

  • Escalation protocols for users expressing suicidal ideation

  • Regular community health assessments by mental health professionals

Trigger Warning & Content Safety

Implemented comprehensive trigger warning systems based on UX best practices for sensitive content:

  • Content warnings before potentially triggering posts

  • Blurred overlay system for sensitive images

  • User-controlled content filtering by topic

  • Safe word protocols for crisis situations

Onboarding for Vulnerable Users

Anxiety-Aware Onboarding

Recognising that users might be experiencing anxiety or depression when first using the app, I designed a gentle, progressive onboarding that builds trust gradually:

Step 1: Welcome & Safety (30 seconds)

  • Warm, non-clinical welcome message

  • Clear privacy commitment upfront

  • Optional community guidelines tour

Step 2: Anonymous Setup (60 seconds)

  • Color-based username selection

  • Basic privacy preferences

  • Optional notification settings

Step 3: Community Exploration (Self-paced)

  • Guided tour of forum categories

  • Sample posts and conversations

  • "Lurker mode" for read-only access initially

Trust-Building Elements

  • Transparency about data use with plain-language privacy policy

  • Community testimonials (anonymous) about positive experiences

  • Professional endorsements from licensed therapists

  • Clear moderation policies to ensure safety


Measuring Success & Impact

Quantitative Results

Metric

Industry Benchmark

Unreveald Performance

Achievement

Sign-ups (90 days)

1,000-5,000 for new platforms

10,000+

2-10x above benchmark

Monthly Active Users

3.3% retention at 30 days

5,000 MAU (50% of signups)

15x above industry average

Daily Engagement

4% daily active users

~17% daily active rate

4x above industry average

User Retention

3.9% at 15 days

~65% at 15 days

16x above industry average

Our success metrics aligned more closely with employer-provided mental health platforms (51-60% retention) than consumer apps, suggesting our community-first approach created enterprise-level engagement.

Qualitative Success Indicators

Community Health Metrics:

  • Peer support network formation: 80% of active users participated in mutual support

  • Crisis intervention success: 100% of flagged crisis situations received appropriate support

  • Content quality: <2% of posts required moderation action after initial 3 months

  • Professional validation: Endorsements from 5+ licensed mental health professionals

National Recognition

  • Press coverage in major Indian publications highlighting platform's cultural innovation

  • Mental health organization partnerships for resource sharing

  • Academic interest from researchers studying digital mental health in India


Key Design Challenges & Solutions

Challenge 1: Balancing Anonymity with Accountability

Problem: Complete anonymity could enable abuse while accountability might discourage authentic sharing.

Solution: Implemented graduated anonymity system:

  • Public forums: Fully anonymous with community moderation

  • Support groups: Persistent usernames with reputation scores

  • Private conversations: Option for verified anonymous accounts

  • Crisis situations: Secure professional contact protocols

Challenge 2: Cultural Sensitivity at Scale

Problem: Indian culture varies significantly by region, religion, and language—how to be inclusive while remaining culturally aware?

Solution: Community-driven cultural adaptation:

  • Regional community moderators who understand local cultural nuances

  • Multi-language support for Hindi and English with culturally appropriate translations

  • Flexible community guidelines that adapt to different cultural contexts

  • Local mental health resource integration varying by geography

Challenge 3: Professional Integration Without Stigma

Problem: Users wanted access to professional help but feared being identified or judged.

Solution: Anonymous professional consultation system:

  • Anonymous booking through platform with encrypted communications

  • Professional verification without revealing user identity

  • Sliding scale fees to address economic barriers

  • Follow-up support through platform's secure messaging

Technical Innovation: Privacy-First Architecture

Zero-Knowledge Community Platform

Inspired by privacy-first design patterns, I architected a system where platform operators couldn't identify users even if required by law:

  • Encrypted user data with keys held only by users

  • Anonymous analytics that tracked engagement without personal identification

  • Distributed moderation where no single entity had complete user information

  • Self-destructing data options for users who wanted to leave permanently

Mobile-First Responsive Design

Recognizing that mobile usage is dominant in India, especially among younger demographics struggling with mental health:

  • Touch-first interaction design with 44px+ touch targets

  • Offline reading capabilities for users with limited data plans

  • Low-bandwidth optimized for slower internet connections

  • Battery-efficient design to not drain older devices

Lessons Learned & Key Insights

1. Cultural Research is Product Research

Understanding "log kya kahenge" wasn't just cultural context—it was the core product requirement. The platform's success stemmed from designing specifically for Indian cultural barriers, not adapting Western mental health app patterns.

2. Community Beats Features

While I initially focused on features like mood tracking and journaling, peer support forums drove 90% of engagement. Users came for tools but stayed for community—a finding that aligns with research showing peer support apps have the highest retention rates.

3. Privacy Enables Authenticity

Complete anonymity didn't lead to abuse—it led to unprecedented authenticity. When users felt truly safe, they shared more honestly and supported each other more effectively than in identified spaces.

4. Professional Integration Requires Trust

Users wanted professional help but needed gradual trust-building. The most successful feature was the anonymous Q&A with verified therapists, which let users test professional interactions before committing to formal therapy.

5. Moderation is Mental Health Care

Content moderation in a mental health community isn't just about safety—it's a form of care delivery. Our community moderators, trained in basic mental health support, often provided the first positive intervention users experienced.

Long-term Impact & Sustainability

Creating a Mental Health Movement

Unreveald demonstrated that cultural barriers could be overcome through thoughtful design. The platform's success influenced other Indian mental health initiatives to adopt privacy-first, culturally-aware approaches.

Scaling Cultural Innovation

The design patterns we developed—anonymous persistent identity, cultural context-aware moderation, and stigma-sensitive onboarding—have been adopted by other platforms addressing sensitive topics in conservative cultures.

Professional Ecosystem Development

By creating a bridge between anonymous users and verified professionals, Unreveald helped normalize mental health support and provided professionals with a new model for reaching reluctant populations.

Future Applications & Learnings

The UX principles and cultural insights from Unreveald are applicable beyond mental health to any sensitive, stigmatized topic in conservative cultures:

  • Sexual health education in traditional societies

  • Domestic violence support with safety concerns

  • LGBTQ+ community building in non-accepting environments

  • Addiction recovery with family shame concerns

Key Transferable UX Patterns:

  • Cultural stigma-aware onboarding

  • Graduated privacy controls

  • Anonymous professional integration

  • Community-driven moderation

  • Trust-building through transparency

Technical Skills Demonstrated: Cultural UX Research, Privacy-First Design, Community Platform Architecture, Content Moderation Systems, Anonymous Identity Design, Mobile-First Responsive Design, Inclusive Design for Sensitive Topics

Unreveald represents my approach to UX design for sensitive, culturally complex challenges—combining deep empathy research with innovative privacy technology to create platforms that serve vulnerable populations while respecting cultural context and individual dignity.


More Projects

UI / UX Design

Designing a Safe Space to Speak Up

Built “Unreveald,” an anonymous mental health platform that reached 10,000+ users by creating trust and community in a culture that often stays silent

Year :

2025

Industry :

Mental Health

Client :

In-house Product

Project Duration :

6 months

Featured Project Cover Image
Featured Project Cover Image
Featured Project Cover Image

Project Overview

In 2022-2023, I served as Product Owner and UX Lead for Unreveald, India's first privacy-focused mental health community platform. Recognizing that cultural stigma prevents millions of Indians from seeking mental health support, I designed an anonymous, safe-space platform that achieved 10,000+ sign-ups and 5,000 monthly active users within 90 days—significantly outperforming industry benchmarks.

Duration: 12 months (2022-2023)
My Role: Product Owner & UX Lead
Impact: 10,000+ sign-ups, 5,000 MAU, national press coverage
Key Innovation: Cultural stigma-aware design with privacy-by-design architecture

The Mental Health Crisis in Cultural Context

The Scale of the Problem

India contributes 18% of the global population but carries a disproportionate mental health burden. With 150 million Indians needing mental health care but only 30 million seeking help, the treatment gap stands at a staggering 80%. The numbers are even more alarming:

  • 56+ million Indians suffer from depression—the highest globally

  • One in 20 Indians suffers from depression

  • Suicide rate of 12.4 per 100,000 people—the highest since 1967

  • Only 0.75 psychiatrists per 100,000 people (WHO recommends 3 per 100,000)


Cultural Barriers: "Log Kya Kahenge?"

Through my one-on-one user research, I discovered that the phrase "log kya kahenge?" (what will people say?) emerged in every single interview. This singular cultural precept shapes mental health decisions across gender, caste, religion, and socioeconomic lines.

Key Cultural Insights:

  • Family reputation over individual needs: Mental health issues are seen as reflecting badly on entire families, not just individuals

  • Marriage stigma: Mental health history can ruin marriage prospects, leading to secrecy and delayed treatment

  • Spiritual misattribution: Mental illness often attributed to "lack of discipline," "evil spirits," or "black magic"

  • Gender-specific barriers: Traditional masculine roles prevent men from seeking help; women face additional scrutiny about stability


My Role & Research Approach

As Product Owner and UX Lead, I took full ownership of the user experience strategy, from initial concept through post-launch iteration. Working with a small engineering team, I was responsible for:

  • Strategic UX vision and product roadmap

  • User research and cultural insight gathering

  • Information architecture and interaction design

  • Privacy-first UX patterns and anonymity systems

  • Community guidelines and moderation strategy


Research Methodology

Quantitative Research: Conducted one-on-one interviews with 25+ potential users across demographics to understand stigma manifestation and help-seeking barriers.

Qualitative Internet Research: Analyzed mental health discussions across Indian forums, social media, and support groups to identify language patterns, concerns, and unmet needs.

Cultural Context Analysis: Studied existing research on Indian mental health stigma, family dynamics, and privacy expectations to inform design decisions.

UX Strategy: Designing for Cultural Safety

Core Design Principles

Based on my research into mental health UX best practices and Indian cultural context, I established five foundational principles:

1. Privacy-by-Design Architecture

  • End-to-end encryption for all communications

  • Zero personal data collection during onboarding

  • Anonymous account creation with no email/phone requirements

  • Secure data handling with transparent privacy policies

2. Cultural Stigma Mitigation

  • Anonymous posting and interaction to eliminate judgment fears

  • No profile pictures or real names to prevent identification

  • Family-safe language avoiding clinical terminology that triggers shame

  • Discrete notifications that don't reveal mental health content

3. Community-First Safety

  • Moderated forums with trained community managers

  • Peer support groups organized by interests, not diagnoses

  • Professional resource hub with vetted mental health information

  • Crisis intervention protocols for users in distress

4. Progressive Disclosure

  • Simple onboarding that doesn't overwhelm anxious users

  • Optional feature adoption allowing gradual engagement

  • Contextual help appearing only when needed

  • Customizable privacy controls for user agency

5. Emotional Safety Design

  • Calming visual design with soft colors and minimal UI

  • Trigger warning systems for sensitive content

  • Empathetic microcopy using non-judgmental language

  • Multiple content moderation layers to prevent harmful interactions

Key Design Solutions

Anonymous Identity System

Challenge: Users needed to feel completely anonymous while still enabling meaningful community connections.

Solution: Designed a persistent anonymous identity system where users choose color-based usernames (e.g., "Gentle Blue," "Quiet Green") that remain consistent across sessions while revealing no personal information. This pattern, inspired by successful anonymous platforms, allows users to build relationships and reputation without sacrificing privacy.

Three-Tier Community Architecture

1. Open Forums - "Share Safely"

  • Public anonymous posting on topics like anxiety, depression, workplace stress

  • Community moderation with trained volunteer moderators

  • Upvoting system to surface helpful content without revealing voter identity

2. Private Support Groups - "Connect Deeply"

  • Interest-based groups (e.g., "New Parents," "Career Stress," "Students") rather than diagnosis-focused

  • Invite-only spaces with enhanced privacy controls

  • Peer mentorship programs matching experienced users with newcomers

3. Resource Hub - "Learn Privately"

  • Curated mental health information from licensed professionals

  • Self-help tools and coping strategies

  • Anonymous professional consultation booking system


Content Moderation & Safety

Hybrid Moderation System

Drawing from content moderation best practices, I implemented a three-layer safety system:

Layer 1: AI-Powered Pre-screening

  • Keyword filtering for harmful content and spam

  • Sentiment analysis to flag potential crisis situations

  • Automated triggers for mental health resources when distress detected

Layer 2: Community Self-Moderation

  • User reporting system with clear guidelines

  • Peer moderation by trusted community members

  • Transparent moderation actions with explanations

Layer 3: Professional Oversight

  • Licensed counselor review for crisis situations

  • Escalation protocols for users expressing suicidal ideation

  • Regular community health assessments by mental health professionals

Trigger Warning & Content Safety

Implemented comprehensive trigger warning systems based on UX best practices for sensitive content:

  • Content warnings before potentially triggering posts

  • Blurred overlay system for sensitive images

  • User-controlled content filtering by topic

  • Safe word protocols for crisis situations

Onboarding for Vulnerable Users

Anxiety-Aware Onboarding

Recognising that users might be experiencing anxiety or depression when first using the app, I designed a gentle, progressive onboarding that builds trust gradually:

Step 1: Welcome & Safety (30 seconds)

  • Warm, non-clinical welcome message

  • Clear privacy commitment upfront

  • Optional community guidelines tour

Step 2: Anonymous Setup (60 seconds)

  • Color-based username selection

  • Basic privacy preferences

  • Optional notification settings

Step 3: Community Exploration (Self-paced)

  • Guided tour of forum categories

  • Sample posts and conversations

  • "Lurker mode" for read-only access initially

Trust-Building Elements

  • Transparency about data use with plain-language privacy policy

  • Community testimonials (anonymous) about positive experiences

  • Professional endorsements from licensed therapists

  • Clear moderation policies to ensure safety


Measuring Success & Impact

Quantitative Results

Metric

Industry Benchmark

Unreveald Performance

Achievement

Sign-ups (90 days)

1,000-5,000 for new platforms

10,000+

2-10x above benchmark

Monthly Active Users

3.3% retention at 30 days

5,000 MAU (50% of signups)

15x above industry average

Daily Engagement

4% daily active users

~17% daily active rate

4x above industry average

User Retention

3.9% at 15 days

~65% at 15 days

16x above industry average

Our success metrics aligned more closely with employer-provided mental health platforms (51-60% retention) than consumer apps, suggesting our community-first approach created enterprise-level engagement.

Qualitative Success Indicators

Community Health Metrics:

  • Peer support network formation: 80% of active users participated in mutual support

  • Crisis intervention success: 100% of flagged crisis situations received appropriate support

  • Content quality: <2% of posts required moderation action after initial 3 months

  • Professional validation: Endorsements from 5+ licensed mental health professionals

National Recognition

  • Press coverage in major Indian publications highlighting platform's cultural innovation

  • Mental health organization partnerships for resource sharing

  • Academic interest from researchers studying digital mental health in India


Key Design Challenges & Solutions

Challenge 1: Balancing Anonymity with Accountability

Problem: Complete anonymity could enable abuse while accountability might discourage authentic sharing.

Solution: Implemented graduated anonymity system:

  • Public forums: Fully anonymous with community moderation

  • Support groups: Persistent usernames with reputation scores

  • Private conversations: Option for verified anonymous accounts

  • Crisis situations: Secure professional contact protocols

Challenge 2: Cultural Sensitivity at Scale

Problem: Indian culture varies significantly by region, religion, and language—how to be inclusive while remaining culturally aware?

Solution: Community-driven cultural adaptation:

  • Regional community moderators who understand local cultural nuances

  • Multi-language support for Hindi and English with culturally appropriate translations

  • Flexible community guidelines that adapt to different cultural contexts

  • Local mental health resource integration varying by geography

Challenge 3: Professional Integration Without Stigma

Problem: Users wanted access to professional help but feared being identified or judged.

Solution: Anonymous professional consultation system:

  • Anonymous booking through platform with encrypted communications

  • Professional verification without revealing user identity

  • Sliding scale fees to address economic barriers

  • Follow-up support through platform's secure messaging

Technical Innovation: Privacy-First Architecture

Zero-Knowledge Community Platform

Inspired by privacy-first design patterns, I architected a system where platform operators couldn't identify users even if required by law:

  • Encrypted user data with keys held only by users

  • Anonymous analytics that tracked engagement without personal identification

  • Distributed moderation where no single entity had complete user information

  • Self-destructing data options for users who wanted to leave permanently

Mobile-First Responsive Design

Recognizing that mobile usage is dominant in India, especially among younger demographics struggling with mental health:

  • Touch-first interaction design with 44px+ touch targets

  • Offline reading capabilities for users with limited data plans

  • Low-bandwidth optimized for slower internet connections

  • Battery-efficient design to not drain older devices

Lessons Learned & Key Insights

1. Cultural Research is Product Research

Understanding "log kya kahenge" wasn't just cultural context—it was the core product requirement. The platform's success stemmed from designing specifically for Indian cultural barriers, not adapting Western mental health app patterns.

2. Community Beats Features

While I initially focused on features like mood tracking and journaling, peer support forums drove 90% of engagement. Users came for tools but stayed for community—a finding that aligns with research showing peer support apps have the highest retention rates.

3. Privacy Enables Authenticity

Complete anonymity didn't lead to abuse—it led to unprecedented authenticity. When users felt truly safe, they shared more honestly and supported each other more effectively than in identified spaces.

4. Professional Integration Requires Trust

Users wanted professional help but needed gradual trust-building. The most successful feature was the anonymous Q&A with verified therapists, which let users test professional interactions before committing to formal therapy.

5. Moderation is Mental Health Care

Content moderation in a mental health community isn't just about safety—it's a form of care delivery. Our community moderators, trained in basic mental health support, often provided the first positive intervention users experienced.

Long-term Impact & Sustainability

Creating a Mental Health Movement

Unreveald demonstrated that cultural barriers could be overcome through thoughtful design. The platform's success influenced other Indian mental health initiatives to adopt privacy-first, culturally-aware approaches.

Scaling Cultural Innovation

The design patterns we developed—anonymous persistent identity, cultural context-aware moderation, and stigma-sensitive onboarding—have been adopted by other platforms addressing sensitive topics in conservative cultures.

Professional Ecosystem Development

By creating a bridge between anonymous users and verified professionals, Unreveald helped normalize mental health support and provided professionals with a new model for reaching reluctant populations.

Future Applications & Learnings

The UX principles and cultural insights from Unreveald are applicable beyond mental health to any sensitive, stigmatized topic in conservative cultures:

  • Sexual health education in traditional societies

  • Domestic violence support with safety concerns

  • LGBTQ+ community building in non-accepting environments

  • Addiction recovery with family shame concerns

Key Transferable UX Patterns:

  • Cultural stigma-aware onboarding

  • Graduated privacy controls

  • Anonymous professional integration

  • Community-driven moderation

  • Trust-building through transparency

Technical Skills Demonstrated: Cultural UX Research, Privacy-First Design, Community Platform Architecture, Content Moderation Systems, Anonymous Identity Design, Mobile-First Responsive Design, Inclusive Design for Sensitive Topics

Unreveald represents my approach to UX design for sensitive, culturally complex challenges—combining deep empathy research with innovative privacy technology to create platforms that serve vulnerable populations while respecting cultural context and individual dignity.


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