One Line a Day – A Microjournaling App for Self-Awareness Through Patterns

One line a day is a micro-journaling app designed to help users uncover emotional, astrological and psychological patterns using AI-powered analysis, astrology, dream analysis, lunar cycles, Chinese elements and Jungian Psychology. I led the product strategy and UX/UI design, working closely with the founder to translate a deeply personal vision into a usable, elegant dark-mode interface. The app allows users to journal in short daily entries and receive meaningful, personalized insights — like recurring moods, phrases, or emotional peaks tied to full moons or Yang Fire days.

Collaboration with Development

We followed a lean, iterative process from day one — working in parallel to accelerate development without compromising on design quality. While I built the design system and core flows in Figma, the developer began implementation immediately. This allowed us to test components in real contexts, spot usability issues early, and adapt quickly — rather than waiting for a full design delivery. We worked in short, focused sprints, often exchanging feedback via Loom videos that documented our thought processes and helped us learn from each other’s approaches. I am also using no-code and visual tools like Bolt to prototype and validate interactions, teaching myself new technologies while shaping the product hands-on. The workflow was flexible, transparent, and energizing — more about shared ownership than handoffs.

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The Challenge

The client approached me with a powerful and unconventional idea:

“I want people to micro-journal and discover meaningful emotional patterns — with the help of astrology, psychology, AI, and Eastern wisdom.”

This wasn’t going to be just another journaling app. The goal was to design a soft, intuitive space where users could write short daily reflections and receive insight that is based on their post entries— not generic. We needed to find a way to show deep emotional trends, like recurring moods or thought loops, and connect them to natural cycles such as moon phases or the Chinese five elements — without overwhelming the user or slipping into pseudoscience.

On top of this, we wanted the experience to feel calm, emotionally intelligent, and trustworthy — especially when AI was used to surface insights from personal text. This required thoughtful UX decisions, strong visual hierarchy, and full transparency throughout the design.

Understanding the Users

To ground the experience in real needs, I spoke with journaling enthusiasts, astrology app users, and a few curious skeptics. What I discovered shaped the product direction deeply.

  • Most people loved astrology, but felt many apps were too vague or aesthetic-driven.However 5 out of 6 told me they are using Co-star and Pattern.

  • Many journalers had no idea how their mood was shifting over time, and were curious about tracking it — but didn’t want anything clinical or "productivity"-driven.

  • Chinese elements and moon cycles were new to some, but felt intriguing when explained in context.

  • Most importantly, people wanted insights that felt relevant — not random horoscopes or mood charts without soul.

These conversations helped define the tone: gentle, grounded, reflective — not flashy or too “spiritual.” It also led to key features like meaningful pattern cards, emotionally intelligent prompts, and the ability to turn certain insight categories on or off.

Competitor scan

I looked at two apps that the potential users mentioned in particular to understand gaps and opportunities:

  • Pattern: Beautifully designed but emotionally overwhelming. No space for journaling.

  • Co-Star: Strong on astrology, but too impersonal. Its tone felt cold or distant to users.

The insight? Most tools were either data-heavy but disconnected (like Co-Star). None combined writing, emotion, and intelligent patterning the way this app aimed to. That gave us a unique positioning: helping people understand themselves through their own words, powered by AI and symbolism, but always grounded in empathy.

But their design choices was something I added to my moodboard for design later

Hypothesis

We believe that by combining short-form journaling with personalized insights from astrology, Chinese elements, dream analysis, Jungian Psyhology and AI-driven analysis, users will become more emotionally aware and feel more connected to their own patterns over time.

Goals

  1. Enable users to journal effortlessly in a calming, low-friction space

  2. Help users surface meaningful emotional and behavioral patterns from their entries.

  3. Deliver insights that feel personal, accurate, and emotionally intelligent — not generic or overwhelming

  4. Create a modular design system to support fast iterations and future growth

  5. Build trust through transparency around how patterns are detected and displayed( especially with AI)

App Flow

A Challenge: Making Meaning from Chaos

The most difficult — and most important — part of the project was designing the Pattern Cards. These cards are the core of the app’s value, and the challenge was balancing depth vs. clarity. I had to decide:

  • What types of patterns truly matter?

  • How can we decide which

  • How do we visually separate “important insights” from lighter patterns without overwhelming the user?

  • What kind of data visualizations support the insight without feeling clinical?

  • How do we stack cards so users can quickly skim — but still want to explore deeper?

After testing multiple layouts, I created a two-tiered card system: medium and high-importance insights, with subtle differences in color and layout. Each card could be expanded to show deeper AI-generated analysis, but only when it felt worth it. I also developed a visual system of icons and tags (e.g. Lunar, Psychology, Dream) to signal what type of intelligence was powering each card.

This became the emotional heart of the app — and took the most creative and strategic energy to get right.

Design System

To scale fast and stay consistent, I created an Atomic Design System:

  • Color Tokens: Semantic + Functional (e.g. color-bg-dark, color-insight-ai)

  • Typography: 4 styles tuned for emotional tone

  • Icon Set: Astrology, Dream, Psychology, Lunar, Chinese Elements, AI

  • Components: Pattern Cards, Pills, Graph Styles, Emotional Forecast Modules

Here I used atomic design system and created cariables for atomic and semantic colors- also for radius, font-size and spacing to make changes fast later since this it the first version of the app

Expected Metrics and Conclusion

Even for V1, we scoped KPIs for future iterations:

  • 🧠 % of users who expand pattern cards

  • ✍️ Frequency of journaling before/after prompts

  • 💬 Positive sentiment in feedback around emotional accuracy

  • 🔁 Retention over 14-day streak

This project was more than a design challenge — it was about emotional UX.
I combined my love for astrology, psychology, and systems thinking into one cohesive flow.

Next steps:

  • Prototype with Bolt and test it with users

  • Add like/dislike buttons on AI generated content to test with users

  • Refine visualizations with real-time graphs