Fitness Finder Logo
Case StudyFitness Finder

Discover Your Healthy Passion

We built Fitness Finder to show how AI can personalize the journey to a healthier lifestyle. The platform maps mindset, motivation, and energy to help people find activities they will actually stick with.

50-question quizFitProfileAI coachLocal discovery
Fitness Finder Homepage Mockup
01What we built

A guided product experience that turns vague interest into a concrete next step.

Fitness Finder is designed like a personal discovery system: the quiz learns about the user, the FitProfile explains what it means, the map shows nearby options, the playbook gives structure, and the AI coach keeps the momentum going.

A personality-driven quiz that feels approachable, not clinical.
A FitProfile dashboard that translates answers into useful insight.
A practical layer of recommendations, playbooks, and coaching.

Quiz-led

A 50-question flow helps capture goals, energy, motivation, and habits.

Personalized

FitProfiles translate the results into clear traits and activity matches.

AI-assisted

The coach answers questions and helps users keep moving forward.

Mobile Quiz and Desktop Dashboard
02Quiz journey

A smoother path from signup to insight.

The experience starts with a clear sign-up and a friendly quiz that does not feel overwhelming. Every step reveals a little more about the user, until the system can confidently suggest the right activities and format the guidance around them.

01. Sign up

Create an account and start with a simple, low-friction entry point.

02. Take the 50-question quiz

Answer questions about goals, energy, motivation, and preferences.

03. Get your FitProfile

See a clear summary of your fitness personality, strengths, and drivers.

04. See matched activities

Get tailored recommendations such as boxing, yoga, running, or cycling.

05. Open a starter playbook

Access a practical next step with tips, local spots, and a starter plan.

03FitProfile

A profile that explains the user, not just the data.

The dashboard transforms quiz answers into an easy-to-read profile. Instead of dumping results in a raw list, the interface turns them into practical guidance: what kinds of activities fit, what motivates the user, and what kind of support they need.

Clear personality and motivation breakdowns.
Activity suggestions matched to energy and mindset.
A UI that helps the user understand their own pattern quickly.
Web dashboard
Map mockup
04Local discovery

Helping people move from “I should work out” to “I know where to go.”

The map experience makes the platform feel useful right away. People can discover nearby places, browse options by activity, and move from curiosity to action with much less effort.

A map-first interface for nearby activity discovery.
A quick way to compare activities without losing context.
A stronger sense of relevance through location-based suggestions.
05Playbooks

A practical starter pack for every matched activity.

Once the platform finds a fit, it does not stop at a recommendation. It gives the user a playbook with expert tips, local places to try, and a four-week beginner plan that makes the first step feel realistic.

Actionable guidance instead of generic advice.
A structured 4-week starter plan.
Local recommendations tied to the selected activity.
A layout that makes the content feel motivating, not overwhelming.
Playbook on laptop and AI coach on mobile
06AI coach

Support that continues after the recommendation.

The coach gives the platform a more personal feel. It answers questions, helps adjust routines, and keeps the user moving when enthusiasm starts to fade.

Conversational support for motivation and routine questions.
A more human experience than a static help page.
A practical way to keep users engaged over time.
Ask, adjust, continue
AI coach mobile mockup
07Built around real activity

The experience feels grounded because it is tied to real activities and real places.

The visual language is not just decorative. The imagery helps users imagine themselves moving, training, and trying something new, which makes the recommendations feel more tangible.

Boxing

Boxing

Strong, energetic, and goal-oriented — a good match for users who want structure and intensity.

Cyclists

Cycling

Social, practical, and easy to scale from beginner rides to more serious training.

Hiker

Hiking

Scenic outdoor movement for users who want routine without feeling trapped in a gym.

Joggers

Running

Simple, accessible, and ideal for users who want low-friction consistency.

Skateboarder

Skateboarding

Playful and expressive, suited to users who want movement to feel creative.

Archery

Archery

Calm, focused, and precise — a strong example of a niche activity recommendation.

08Responsive system

Everything stays clear across mobile, tablet, and desktop.

The UI is designed to feel consistent no matter where the user starts. The discovery flow, profile summary, map, and coaching experience all adapt cleanly to smaller screens without losing the story.

Mobile-first discovery
General site view on web and mobile
Final noteBuilt for movement

Fitness Finder turns self-discovery into something practical, motivating, and easy to continue.

This case study showcases how we design complete product journeys — not just interfaces. From discovery to action, every step is built to guide users forward with clarity and momentum.

Strategy
AI UX
Personalization
Mobile experience

Contact

+1 3074 001457

+94 77 008 3332

dev@tensholabs.com

USA Office

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Atlanta, GA 30318

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