Skip to content
Haytham Galal logoHaytham Galal
WorkAboutWritingContact

Mobile App Design

EmoHaven — Designing for Emotional Awareness in Relationships

Client

Personal Project

Role

Lead Product Designer

Year

2026

Duration

20 days

EmoHaven — Emotional Wellness App

Overview

EmoHaven is a mobile-first mood tracking app designed to help couples build emotional awareness and improve communication through daily, lightweight sharing.

As a product designer, I led the end-to-end design of the experience — from problem framing and user research to iterative feature development. Along the way, I expanded my role into product thinking, system design, and data modeling to better understand how products evolve over time.


Context & Motivation

The idea for EmoHaven started from a personal experience.

During a relationship coaching program with my partner, we were given a daily exercise to share our emotions consistently. The goal was to build emotional awareness and improve communication. However, the process quickly revealed friction.

  • It was manual

  • It required effort and discipline

  • There was no way to track patterns over time

When I explored existing products, I found:

  • Mood tracking apps focused on individuals

  • Relationship apps focused on communication

  • But none helped couples passively understand each other's emotional states over time

A product that allows couples to effortlessly share and understand each other's emotions on a daily basis.


User Research

To validate the problem beyond my own experience, I observed and tested the concept with myself and my partner, and two additional couples.

User research

Key insights

01

Emotional sharing is inconsistent

  • People want to share, but don't do it daily

  • It depends on mood, memory, or conflict

02

Users struggle to name emotions

A recurring pattern:

I feel something… but I don't know what to call it

  • Emotional vocabulary is limited

  • Users need guidance to identify feelings

03

Users want awareness, not just logging

Tracking alone was not enough. Users were more interested in:

  • Understanding patterns

  • Connecting emotions to context

  • Improving communication with their partner


Problem & Goal

Couples lack a simple, consistent way to stay aware of each other's emotional state over time.

More specifically:

  • Emotional check-ins are inconsistent and effort-heavy

  • Communication often happens only when something is wrong

  • There is no passive way to understand patterns in a partner's emotional state

  • Existing tools do not combine daily emotional tracking, shared visibility, and long-term understanding

The opportunity

Design a system that enables continuous emotional awareness, not just reactive communication.

The goal

  • Share emotional state daily with minimal effort

  • Build awareness of each other's moods over time

  • Reduce friction in emotional communication

  • Move from reactive conversations to proactive understanding


Iteration & Learning

Foundation → Evolution

The initial version focused on building a strong foundation for meaningful emotional tracking.

Core features introduced

Daily mood logging

Daily mood logging

Simple, low-friction entry point

Emotional vocabulary

Emotional vocabulary

Structured list of emotions

Partner invitation

Partner invitation

Connect and share with your partner

Early insights

Early insights

Patterns, trends, correlations

Key decisions & learnings

01 · Challenge

Simplicity vs depth

A single mood input is easy — but without context, it lacks value.

Solution

Layered input: mood → emotions → activities. Each layer adds meaning without adding friction upfront.

02 · Challenge

Emotional vocabulary is a core feature

Users struggled to describe their feelings, leading to vague or skipped entries.

Solution

Introducing a large emotion list improved clarity, enabled better reflection, and strengthened communication between partners.

03 · Challenge

Context drives meaning

Mood data alone is not enough to understand why someone feels the way they do.

Solution

Adding activities connects emotions to behavior and enables pattern recognition over time.

04 · Challenge

Insights depend on input quality

Without rich, consistent data, meaningful trends and patterns cannot emerge.

Solution

Once richer data was available, tracking shifted to understanding — trends, correlations, and patterns became possible.

Timeline Hypothesis — Critical Product Insight

Through continuous use, a key limitation emerged: mood is not static — it changes throughout the day.

A single daily entry does not reflect real emotional experience

This led to a new direction:

  • Support multiple entries per day

  • Introduce a timeline-based experience

  • Move from daily snapshots to emotional flow

Timeline experience

Final Reflection

EmoHaven started as a solution for couples, but through iteration it became a broader exploration of emotional awareness.

The biggest shift was moving from designing a feature to designing a system that evolves with user behavior.