Case Study: AI powered Recognition & Rewards Solution

Brave Achievers is a U.S.-based digital learning and skills-development platform using AI to personalize learning paths. I redesigned the core dashboard, improved task discoverability, and rebuilt the onboarding experience to help learners engage faster and understand the full product value immediately.

Product Designer : UX, UI, research, interaction design, prototyping, and design system alignment for web & mobile.

The main issues holding the platform back:

Dashboard clutter made key actions hard to find

Users didn’t understand how AI-powered recommendations worked

Onboarding did not highlight product value early

Mobile responsiveness was inconsistent

UI components varied across pages, creating friction

To support scale and credibility, the platform needed an interface that felt smarter, cleaner, and easier to navigate.

I ran interviews with learners, instructors, and internal team members.

Key insights:

Users wanted a clear starting point

Rewards were buried under low-priority content

Giving recognition was a burden due to the process.

Many didn’t understand how and why rewards was given

Mobile view lacked structure, confusing first-time users

These insights shaped the design direction: Reduce noise. Amplify value. Guide users forward.

I reorganized the platform around three primary user intentions:

Start Rewarding , recognizing and renewing: actionable tasks and AI recommendations

Track Activities and Data: clear metrics and milestones

Explore content: discover new rewards and reward providers with ease

This established a simple, intuitive mental model.

Core improvements:

Clearer prioritization of AI-recommended tasks

Structured progress tracking with understandable metrics

Predictable navigation across web + mobile

Simplified onboarding with better expectation-setting

Micro-interactions reinforcing momentum and completion

Error-tolerant patterns for forms and learning actions

The platform became more actionable and less overwhelming.

I applied a consistent visual language across the app:

Clean typography hierarchy

Consistent cards for tasks, modules, and achievements

Clear spacing rules for readability

Unified iconography across features

High-contrast CTAs for learner focus

This established visual discipline and reduced cognitive load.

Interactive prototypes were tested with active learners and new users.

Tets carried out:

A/B tests for layouts, copy, colour schemes and flows

Usability tests to understand ease of use and determine task completion rate while adhering to accesibility guidelines

Surveys and questionnires

We iterated specifically on the dashboard hero section and mobile navigation based on user observations.

A streamlined, learner-centered platform:

AI recommendations surfaced inside a clear “Start Learning” module

Cleaner dashboard with a single, intentional entry point

Consistent UI system across devices

Shorter, value-first onboarding flow

Simplified progress tracking

The experience became more intuitive and more aligned with users’ real learning behavior.

Though exact metrics are internal, the redesign produced:

More engagement with recommended tasks

Better clarity around learning goals and progress

Faster onboarding completion

Stronger learner confidence and understanding of platform value

Improved design & dev collaboration through unified components

AI-powered products need explainability and structure. When users understand why the system recommends something and when that recommendation is surfaced clearly engagement rises naturally. Simplicity is the ultimate accelerant in learning platforms.