InnerSpace

InnerSpace was founded by Frank O'Brien, a practicing therapist with a mission to help more people maintain emotional and mental well-being in everyday life. The idea was rooted in our client’s clinical experience — an understanding of what people struggle with and what kind of support makes a difference.

Frank came to Brights with an extremely compelling idea and a solid domain expertise, but the product vision was still taking shape. There was no defined feature set, no technical requirements, and no UX direction — just a concept map.

We kicked off with a discovery phase: working closely with Frank to identify user needs, define key use cases, and translate therapeutic insight into a product that could work at scale. From there, we moved through concept refinement, UX and UI design, and full-stack development — building InnerSpace from the first wireframe to a shippable product.

Our design philosophy for InnerSpace came down to three words: clean, neat, simple.

People open a mental well-being app when they need support — and in this scenario, a complex interface would only push them away. With that in mind, the team deliberately avoided cluttered screens and multi-step interactions. Every view was designed around a single question: can the user understand what's expected of them and act on it without hesitation?

Based on this insight, we delivered an interface built on clear visual hierarchy, generous white space, minimal on-screen elements, and straightforward navigation. Nothing competes for attention or gets in the way.

The InnerSpace Map

The centerpiece of the product — and its most distinctive design element — is the InnerSpace Map: a visualization of the user's mental state across different areas of life.

Rather than displaying isolated scores or siloed category data, the Map brings everything together — not as hard numbers but as a comprehensive, continuous picture. The user's inner state is at the center. 

If a person using the app is facing emotional challenges in a particular area, that shows up on the map. The corresponding region becomes more pronounced. This way, the person’s emotional state is rendered visible.

Daily check-in

This is the core habit of the product. Each day, users answer a short set of questions about how they’re feeling and receive personalized AI-driven recommendations based on the responses. 

For the feature to work, returning to it had to feel natural: low-effort, low-anxiety, worth doing again tomorrow. Usability testing with wellness app users helped validate the flow and surface friction points before development, ensuring the final experience matched that intention.

Deep-dive assessments

Organized across six life domains — physiological health, interpersonal relationships, hobbies and routine, acceptance and grief, environment, and thought patterns — these deep-dive questions help users build a fuller picture of what's affecting their well-being and where to focus their energy.

Monthly reports

Each report surfaces how many check-ins a user completed and which domains were most active. It also highlights distress scores over time, personal affirmations, and the progress users can choose to share. It turns consistent daily input into something tangible and motivating.

Mental well-being is a sensitive domain — generic or tone-deaf outputs weren't an option. One of the most challenging parts of the project was translating the therapist’s expertise and methodology into a scalable AI-powered recommendation engine.

The application uses a sophisticated assessment framework that collects information about a user’s emotional well-being, habits, challenges, and progress over time. Behind the scenes, we built a scoring system with a matrix of coefficients that evaluates user responses based on how they feel, how their answers shift over time, and whether previous recommendations helped.

Developing this logic required extensive experimentation, testing, and continuous refinement. We went through multiple iterations to ensure the recommendations felt relevant, accurate, and genuinely helpful.

• Data security aligned with HIPAA best practices. InnerSpace does not function as a medical device, but it handles sensitive personal data. The team designed data-handling practices in line with HIPAA guidelines, ensuring user trust was built into the architecture.

• App Store and Google Play compliance. Health and wellness apps face specific review requirements on both platforms. Compliance with Apple and Google guidelines was factored into the product design from the start, avoiding rework at the submission stage.

• Scope of health-related features. The app supports mental well-being — it does not diagnose, treat, or replace professional therapy. Clear product boundaries and in-app disclaimers were defined to keep InnerSpace compliant and responsible.

For the InnerSpace team, success wasn't about more time spent on the app — it came down to users becoming better equipped to manage their own emotional state over time. That mission, rooted in Frank's clinical background, shaped every decision on the Brights side too. 

Our collaboration became purpose-driven, with the team building InnerSpace as a genuine tool for self-understanding rather than another product competing for attention. Members of the Brights team used InnerSpace throughout testing, checking in regularly, noticing shifts in their own emotional patterns, and treating the habit as a real part of their routine. 

As InnerSpace is entering its launch and marketing phase, the numbers that will show its reach are still ahead. What's already in place is a product intentionally designed not to capture more of people’s attention, but to help them need it less.