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Case Study

FeelTrack: Emotional Wellness Platform

How we helped a solo founder validate and launch a privacy-focused mood tracking app with scientifically-validated methods in just 10 weeks.

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FeelTrack Dashboard

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Project Overview

Client

Solo Founder

Industry

Wellness & Mental Health

Timeline

10 weeks

The Challenge

A solo founder approached us with a vision to create a privacy-focused emotional wellness platform that could help users track their moods scientifically without feeling like they're taking a clinical assessment.

The key challenges were implementing the PANAS (Positive and Negative Affect Schedule) framework in an approachable way, ensuring complete user privacy while enabling social features, and providing actionable insights from emotional data.

Our Solution

PANAS Assessment

20-emotion scientifically-validated framework for tracking positive and negative affect

AI-Powered Insights

Intelligent analysis of mood patterns with personalized recommendations

Streak Tracking

Gamification elements to encourage consistent emotional check-ins

Privacy-First

Full data export controls and granular privacy settings for social sharing

Visual Analytics

Beautiful charts and trends showing emotional patterns over time

Social Features

Optional sharing with friends while maintaining privacy control

Technology Stack

Ruby on Rails 7
Hotwire (Turbo & Stimulus)
PostgreSQL
ECharts for visualizations
PostHog for analytics
Tailwind CSS
Deployed on Render

Overcoming Challenges

Challenge: Balancing simplicity with scientific rigor

Solution: Implemented PANAS framework in an intuitive interface that doesn't feel like a clinical assessment

Challenge: Privacy concerns with social features

Solution: Built granular privacy controls allowing users to choose exactly what they share

Challenge: Making emotional data actionable

Solution: Created AI-powered insights that provide meaningful patterns and suggestions

The Results

Launched in 10 weeks from concept to production
Privacy-first architecture with complete data ownership
Scientifically-validated PANAS emotional assessment
AI-powered insights for pattern recognition
Accessible design for non-clinical users
Real-time updates using Hotwire/Turbo

"We went from concept to launched product in under 3 months. The validation process ensured we built features users actually wanted, and the technical implementation exceeded my expectations."

— Founder, FeelTrack

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