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Case Study

InnerSense

AI-guided emotional growth app

InnerSense (desktop view)

Overview

InnerSense is a daily self-reflection app that tracks emotional rhythm, relationship patterns, and personal boundaries, using AI-guided check-ins to surface behavioral patterns a user might not notice on their own.

The Challenge

Most journaling and wellness apps ask open-ended questions and leave the user to make sense of the answers alone. We wanted something closer to a real reflective practice: structured, body-aware, and able to name recurring patterns back to the user instead of just storing entries.

The Solution

We built a guided check-in system across core pillars (relationships, boundaries, aspirations, patterns) with a nervous-system state indicator, short daily growth practices, and a pattern-synthesis engine that identifies recurring emotional dynamics from the user's own entries and suggests one concrete practice to try next.

On mobile

InnerSense was designed mobile-first, since most of its real-world usage happens on a phone screen.

InnerSense (mobile view)

Tech Stack

React NativeNode.jsOpenAI APIPostgreSQL

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