Mobile App EdTech UX Strategy Branding Gamification

Micro-casing
App

Client Cerebral Games
Role Product Designer
Scope UX Strategy · Branding · UI Design
Duration 2-Week Sprint
Status Live in App Stores

Micro-casing is a mobile app that replaces $200/hour coaching with 400-second gamified case studies, making consulting interview prep fast, affordable, and sustainable for anyone competing for a spot at McKinsey, BCG, or Bain.

Traditional prep is slow, expensive, and hard to stick to. Micro-casing flips the model: bite-sized cases on your commute, built on the same decision-making framework top coaches use.

The CEO of Micro-casing App, Shankar Ananth, contacted me to redesign the branding and rework the flow of his product.

Micro-casing App
The Challenge

Defining the
Product System
and Brand Guide

Micro-casing had been built from AI-generated wireframes with no design system behind it. The UX audit mapped four specific failures, each one blocking a different part of the product.

Visual System
Fragmented Visual Identity
No shared tokens, no hierarchy logic, no component consistency. Every screen made the user rebuild context from scratch, creating cognitive load before a single case was attempted.
Navigation
Broken Navigation and User Control
Users were locked into a single forced flow. No bottom nav, no way to backtrack, no access to profile or filtering. The product grew its case library weekly but gave users no way to orient inside it.
UX Writing
Misaligned Copy and Tone of Voice
Gaming language and consulting authority were competing in the same interface. The result was a product that felt neither credible enough for serious prep nor approachable enough to open daily.
Information Architecture
Cognitive Overload at Critical Touchpoints
The case results screen — the moment where users decide to continue or quit — was cluttered with redundant information. Drop-off was happening exactly where engagement needed to peak.
Casey stressed mascot
Discovery

Three Workstreams
One Foundation

Three parallel workstreams ran simultaneously to establish a strategic foundation before any design decision was made.

Brand & Product Questionnaire
Founder Alignment
A structured alignment session with the founder to define vision, target audience, tone, and competitive positioning before opening Figma.
View questionnaire ↗
Founder Vision
Product Purpose
Shankar Ananth built Micro-casing to address a gap he experienced firsthand during consulting interview preparation. Understanding that context shaped every strategic decision.
UX / UI Audit
Structural Diagnosis
Systematic review of existing screens to identify hierarchy failures, navigation gaps, cognitive overload points, and scalability blockers across the full user journey.
View full audit ↗
Branding Strategy

Branding Strategy
and UI Decisions

Defining the visual and gamification direction for the Micro-Casing app through competitive analysis and branding decisions.

Research
Competitive & Comparative Analysis

Researching platforms such as Elevate and Duolingo helped identify successful engagement patterns used in gamified learning experiences. These references informed the comparative and competitive analysis during the discovery phase.

Competitive and comparative analysis — brainstorming research
UX Direction
Gamified Coaching Experience

The insights gathered during research led to the decision to introduce coaching-oriented and gamified interactions into the Micro-Casing app. Progression systems, achievement-driven experiences, and guided learning mechanics became central to the product experience.

Gamified coaching experience — mascot exploration
Visual Identity
Branding & Visual Direction

The discovery phase also shaped the branding strategy and UI direction. Green was intentionally selected as the primary brand color to differentiate the product from existing consulting and gamification platforms, helping establish a more distinctive and modern visual identity.

Branding and visual direction — color and identity system
Design Impact

Deliverables That
Unblocked the Team

The inherited file had no component logic, no prototype flows, and no consistent visual system. These three deliverables changed how the team worked.

Component Library
Mini UI Kit
A component library with colours, typography, and iconography gave engineers a single source of truth. No guessing specs, no revision loops. Every pattern already defined and reusable.
Prototyping
High-Fidelity Prototype
Eight complete flows with interaction logic let developers see exact behaviour, transitions, and edge cases upfront. Decisions that would have surfaced mid-sprint were resolved in Figma.
Content Architecture
Scalable Content Architecture
A filtering system built around difficulty, category, and new releases means new cases plug directly into the existing structure — no design intervention needed as the library grows.
Complexity

Where It Got Hard
and How We Moved

Building a System Inside a Sprint
Two weeks is not enough time to build a proper design system — but handing engineers a Figma file with no components would have created permanent debt.
Gamification vs. Credibility in a High-Stakes Context
Consulting interviews are serious. Gamification signals casual. Design too playful and a competitive McKinsey candidate won't trust it; design too corporate and they won't open it daily.
Rebuilding on Top of an AI-Generated File
The inherited Figma file had been generated by AI and built out by engineers — no auto-layout, no components, no naming logic. Starting from scratch would have been faster, but would have forced the team to re-implement screens already in production.
Micro-casing — original screens before redesign
Before & After

From Fragmented
to Focused

Micro-casing — Before: AI-generated wireframes

Before: AI-generated wireframes

What was not working

  • Fragmented visual hierarchy: cognitive overload across every screen
  • No global navigation: users trapped in a single forced flow with no orientation
  • Misaligned UX copy: gaming tone competing with consulting credibility
  • No filtering or discovery system: unsustainable as the content library grew
  • No component library: no foundation for consistent or scalable development
Micro-casing — After: redesigned experience

After: redesigned experience

What we improved

  • Cohesive visual system: unified typography, hierarchy, and colour across all screens
  • Global navigation bar: Office, Cases, New Cases, Favorites, and Profile always accessible
  • Tone-aligned UX copy: Professional, Friendly, and Modern across every touchpoint
  • Filtering system: by difficulty, category, and new releases supports content scaling
  • Mini UI Kit: component library ready for immediate developer implementation
"

"I worked with Juan for my app's (Micro-casing) UX,UI design. Juan was very thorough and very professional, and I had a great time working with him. His discipline in learning about the customer journey in the industry related to the app was very much appreciated."

Portrait of Shankar Ananth Shankar Ananth · CEO, Cerebral Games · Former McKinsey and Bain Consultant
AI in the Design Process

One tool per
phase of the process

AI was not a single tool. It was a system of specialized tools — one matched to each phase of the Design Thinking process.

AI workflow across the design process
Lessons Learned

What This Project
Taught Me

UX Leads, UI Follows
Flows can always evolve and improve. Visual identity, once defined, becomes the stable foundation everything else builds on.
Communication Is a Design Deliverable
Structured documentation and clear client communication were as critical as the design itself. Without them, even great work loses direction.
Prototype Early, Prototype Always
Prototyping was the single most effective way to validate decisions, communicate intent, and reduce misalignment with the development team.
Workflow Is Efficiency
Defining a clear personal workflow before starting saved time, reduced errors, and kept the project moving within a strict two-week sprint.
Live Metrics

Results Since
February 2026

The redesign launched in February 2026 across the App Store and Google Play. The following metrics reflect real performance data from both platforms since release.

237
First-Time Downloads
Platform App Store, since February 2026
Growth +508% increase in new user acquisitions
Signal Redesigned store presence improved discovery and install intent
38
Monthly Active Users
Platform Google Play, last 28 days
Growth +65% MAU growth; 57 active devices, +25%
Signal Redesigned experience supports recurring engagement
2.84%
Download-to-Paid Rate
Window Day 35 post-download conversion
Growth 8 active subscription plans, +700% since launch
Signal Freemium onboarding drives measurable revenue conversion
$78
App Store Proceeds
Detail 17 in-app purchases; MRR $24 with 2 paid plans active
Growth +7.7K% revenue growth since February 2026
Signal Early monetization validates the product value proposition