Project type

Start-Up

sector

E-Learning

Creator Economy

Team

Project Manager

Developers

Tools

Figma

Adobe Photoshop

Eyequant

Time

8 Weeks

CLIENT

INFLUENCER PRO

Contribution

Product Deveoper

UX Designer

Branding Advisor

Brief

Create a mobile-only MVP for an e-learning app that empowers influencers to grow their platforms. The app features concise, high-impact video courses from top-tier experts, with a core set of features to quickly test market demand and gather user feedback.

My process

I utilize a design thinking process, which is non-linear. If you would like to see my process for this project and others, visit my UX research portfolio.

top pain points

Influencers can't easily pinpoint their performance weaknesses or prioritize necessary changes.

Users struggle to translate what they learn into effective, tangible actions on their platforms.

Users struggle to translate what they learn into effective, tangible actions on their platforms.

Influencers can't easily pinpoint their performance weaknesses or prioritize necessary changes.

Learners quickly experience fatigue and distractions when taking digital courses.

top INSIGHTS

Influencers primarily rely on vanity metrics (likes, comments) rather than actionable data, which prevents them from correctly diagnosing their skill gap and leads to wasted effort.

Influencers primarily rely on vanity metrics (likes, comments) rather than actionable data, which prevents them from correctly diagnosing their skill gap and leads to wasted effort.

E-learning content is too abstract and lacks the necessary platform-specific, context-aware execution tools required for creators to successfully bridge theory and practice.

E-learning content is too abstract and lacks the necessary platform-specific, context-aware execution tools required for creators to successfully bridge theory and practice.

Passive, mandatory digital content fails to satisfy the creator's need for immediate, tangible progress and results. User motivation is quickly depleted, requiring a design shift toward active, intrinsically rewarding models to drive sustained focus and course completion.

Passive, mandatory digital content fails to satisfy the creator's need for immediate, tangible progress and results. User motivation is quickly depleted, requiring a design shift toward active, intrinsically rewarding models to drive sustained focus and course completion.

GRID SYSTEM
GRID SYSTEM
THUMB ZONE
THUMB ZONE
WCAG
WCAG
COLOR PALETTE
COLOR PALETTE
GRID SYSTEM
GRID SYSTEM
THUMB ZONE
THUMB ZONE
WCAG
WCAG
COLOR PALETTE
COLOR PALETTE
GRID SYSTEM
GRID SYSTEM
THUMB ZONE
THUMB ZONE
WCAG
WCAG
COLOR PALETTE
COLOR PALETTE
GRID SYSTEM
GRID SYSTEM
THUMB ZONE
THUMB ZONE
WCAG
WCAG
COLOR PALETTE
COLOR PALETTE
GRID SYSTEM
GRID SYSTEM
THUMB ZONE
THUMB ZONE
WCAG
WCAG
COLOR PALETTE
COLOR PALETTE
GRID SYSTEM
GRID SYSTEM
THUMB ZONE
THUMB ZONE
WCAG
WCAG
COLOR PALETTE
COLOR PALETTE

TOP Challenges

AI Competition: The challenge is to prove that our structured, expert-led content is more valuable and actionable than generic AI-generated information.

Gamification Balance: To avoid drop-off, users need to remain entertained and engaged with the app, but not so much so that they are distracted while taking courses.

Solutions

I used precision gamification, implementing it in moderation to counteract learner fatigue. By targeting elements only at usability tested drop-off and high-friction points, I maximized engagement and drove sustained user focus without allowing distraction from core tasks.

This app is powered by a personalized AI assistant. This AI analyzed a user's platform data, learning history, and search queries to provide tailored, data-driven advice. This provided a level of customized support that generic AI models couldn't match.

This app is powered by a personalized AI assistant. This AI analyzed a user's platform data, learning history, and search queries to provide tailored, data-driven advice. This provided a level of customized support that generic AI models couldn't match.

Course Catalog

Course Catalog

Splash Screen

Splash Screen

Course Module List

Course Modules List

Ai Chat

AI Chat

THE RESULTS

THE RESULTS

The MVP successfully launched to a targeted group of influencers, achieving a 35% conversion rate from free trial to paid subscription. This resulted in 3,500 paying users in the first 90 days, with a strong 30% day-30 retention rate.

The MVP successfully launched to a targeted group of influencers, achieving a 35% conversion rate from free trial to paid subscription. This resulted in 3,500 paying users in the first 90 days, with a strong 30% day-30 retention rate.

The personalized AI assistant saw strong adoption, with 75% of users engaging with the chat feature weekly. The AI's tailored advice led to a 15% increase in course completion rates, proving its value in driving user success.

The personalized AI assistant saw strong adoption, with 75% of users engaging with the chat feature weekly. The AI's tailored advice led to a 15% increase in course completion rates, proving its value in driving user success.

Aubrey Hepburn Breakfast at Tiffany's

Chinese woman in front of a city

Aesthetic Sofa

Aubrey Hepburn Breakfast at Tiffany's

Chinese woman in front of a city

Aubrey Hepburn Breakfast at Tiffany's

Chinese woman in front of a city

Aesthetic Sofa

Aubrey Hepburn Breakfast at Tiffany's

Chinese woman in front of a city

Aesthetic Sofa

CLIENT

INFLUENCER PRO

sector

E-Learning

Creator Economy

Project Type

Start-Up

Time

8 Weeks

Contribution

Product Deveoper

UX Designer

Branding Advisor

Team

Project Manager

Developers

Tools

Figma

Adobe Photoshop

Eyequant

INFLUENCER PRO

INFLUENCER PRO

INFLUENCER PRO

PROJECT TYPE

Start-Up

sector

E-Learning

Creator Economy

Team

Project Manager

Developers

Developers

tools

Figma

Adobe Photoshop

Eyequant

Time

8 Weeks

PORTRAIT
TOP PRIORITIES GRID
PERSONA
TOP PRIORITIES
USABILITY ISSUES
COMPETITIVE ANALYSIS
TRIANGULATION
TOP PRIORITIES GRID
PERSONA
TOP PRIORITIES
USABILITY ISSUES
COMPETITIVE ANALYSIS
TRIANGULATION
TOP PRIORITIES GRID
PERSONA
TOP PRIORITIES
USABILITY ISSUES
COMPETITIVE ANALYSIS
TRIANGULATION
SCROLL DOWN ✦ SCROLL DOWN ✦ SCROLL DOWN ✦

Real Recommendations

by real

people

Featuring

curators

from

around

the

world

✿ SCROLL DOWN ✿ SCROLL DOWN ✿
USER TESTING ROUND 1
RESEARCH METHODS
ROUND 2: USER TESTING
ROUND 2: USER TESTING
USER TESTING ROUND 2
PRIMARY RESEARCH
INSIGHTS
INSIGHTS
USER TESTING ROUND 1
RESEARCH METHODS
ROUND 2: USER TESTING
ROUND 2: USER TESTING
USER TESTING ROUND 2
PRIMARY RESEARCH
INSIGHTS
INSIGHTS
USER TESTING ROUND 1
RESEARCH METHODS
ROUND 2: USER TESTING
ROUND 2: USER TESTING
USER TESTING ROUND 2
PRIMARY RESEARCH
INSIGHTS
INSIGHTS
USER TESTING ROUND 1
RESEARCH METHODS
ROUND 2: USER TESTING
ROUND 2: USER TESTING
USER TESTING ROUND 2
PRIMARY RESEARCH
INSIGHTS
INSIGHTS
USER TESTING ROUND 1
RESEARCH METHODS
ROUND 2: USER TESTING
ROUND 2: USER TESTING
USER TESTING ROUND 2
PRIMARY RESEARCH
INSIGHTS
INSIGHTS
USER TESTING ROUND 1
RESEARCH METHODS
ROUND 2: USER TESTING
ROUND 2: USER TESTING
USER TESTING ROUND 2
PRIMARY RESEARCH
INSIGHTS
INSIGHTS
USER TESTING ROUND 1
RESEARCH METHODS
ROUND 2: USER TESTING
ROUND 2: USER TESTING
USER TESTING ROUND 2
PRIMARY RESEARCH
INSIGHTS
INSIGHTS
USER TESTING ROUND 1
RESEARCH METHODS
ROUND 2: USER TESTING
ROUND 2: USER TESTING
USER TESTING ROUND 2
PRIMARY RESEARCH
INSIGHTS
INSIGHTS
USER TESTING ROUND 1
RESEARCH METHODS
ROUND 2: USER TESTING
ROUND 2: USER TESTING
USER TESTING ROUND 2
PRIMARY RESEARCH
INSIGHTS
INSIGHTS
USER TESTING ROUND 1
RESEARCH METHODS
ROUND 2: USER TESTING
ROUND 2: USER TESTING
USER TESTING ROUND 2
PRIMARY RESEARCH
INSIGHTS
INSIGHTS
USER TESTING ROUND 1
RESEARCH METHODS
ROUND 2: USER TESTING
ROUND 2: USER TESTING
USER TESTING ROUND 2
PRIMARY RESEARCH
INSIGHTS
INSIGHTS
USER TESTING ROUND 1
RESEARCH METHODS
ROUND 2: USER TESTING
ROUND 2: USER TESTING
USER TESTING ROUND 2
PRIMARY RESEARCH
INSIGHTS
INSIGHTS
OLD SCS IMAGERY
OLD IMAGERY VS CUSTOMER PREFERENCE IMAGERY
NEW SCS IMAGERY (CUSTOMER PREFERRED)
NEW SCS IMAGERY (CUSTOMER PREFERRED)
SCS BEFORE OUR HELP (PRICE-DRIVEN)
SCS AFTER OUR HELP (EMOTIONAL)
WIREFRAMES
WIREFRAMES
INSIGHTS
INSIGHTS
USABIILITY TESTING
USABIILITY TESTING
PRIMARY RESEARCH
RESEARCH METHODS
PRIMARY RESEARCH ROUND 2
PRIMARY RESEARCH ROUND 2
OLD SCS IMAGERY
OLD IMAGERY VS CUSTOMER PREFERENCE IMAGERY
NEW SCS IMAGERY (CUSTOMER PREFERRED)
NEW SCS IMAGERY (CUSTOMER PREFERRED)
SCS BEFORE OUR HELP (PRICE-DRIVEN)
SCS AFTER OUR HELP (EMOTIONAL)
WIREFRAMES
WIREFRAMES
INSIGHTS
INSIGHTS
USABIILITY TESTING
USABIILITY TESTING
PRIMARY RESEARCH
RESEARCH METHODS
PRIMARY RESEARCH ROUND 2
PRIMARY RESEARCH ROUND 2
OLD SCS IMAGERY
OLD IMAGERY VS CUSTOMER PREFERENCE IMAGERY
NEW SCS IMAGERY (CUSTOMER PREFERRED)
NEW SCS IMAGERY (CUSTOMER PREFERRED)
SCS BEFORE OUR HELP (PRICE-DRIVEN)
SCS AFTER OUR HELP (EMOTIONAL)
WIREFRAMES
WIREFRAMES
INSIGHTS
INSIGHTS
USABIILITY TESTING
USABIILITY TESTING
PRIMARY RESEARCH
RESEARCH METHODS
PRIMARY RESEARCH ROUND 2
PRIMARY RESEARCH ROUND 2
OLD SCS IMAGERY
OLD SCS IMAGERY
NEW SCS IMAGERY (CUSTOMER PREFERRED)
NEW SCS IMAGERY
SCS BEFORE OUR HELP (PRICE-DRIVEN)
SCS AFTER OUR HELP (EMOTIONAL)
WIREFRAMES
WIREFRAMES
INSIGHTS
INSIGHTS
USABIILITY TESTING
USABIILITY TESTING
PRIMARY RESEARCH
RESEARCH METHODS
PRIMARY RESEARCH ROUND 2
PRIMARY RESEARCH ROUND 2
OLD SCS IMAGERY
OLD SCS IMAGERY
NEW SCS IMAGERY (CUSTOMER PREFERRED)
NEW SCS IMAGERY
SCS BEFORE OUR HELP (PRICE-DRIVEN)
SCS AFTER OUR HELP (EMOTIONAL)
WIREFRAMES
WIREFRAMES
INSIGHTS
INSIGHTS
USABIILITY TESTING
USABIILITY TESTING
PRIMARY RESEARCH
RESEARCH METHODS
PRIMARY RESEARCH ROUND 2
PRIMARY RESEARCH ROUND 2
OLD SCS IMAGERY
OLD SCS IMAGERY
NEW SCS IMAGERY (CUSTOMER PREFERRED)
NEW SCS IMAGERY
SCS BEFORE OUR HELP (PRICE-DRIVEN)
SCS AFTER OUR HELP (EMOTIONAL)
WIREFRAMES
WIREFRAMES
INSIGHTS
INSIGHTS
USABIILITY TESTING
USABIILITY TESTING
PRIMARY RESEARCH
RESEARCH METHODS
PRIMARY RESEARCH ROUND 2
PRIMARY RESEARCH ROUND 2
PRIMARY RESEARCH
PRIMARY RESEARCH
AFFINITY MAP
AFFINITY MAP
IMMERSIVE EXPERIENCE CONCEPT
PROCESSING PRIMARY RESEARCH
AEIOU, PERSONA & USER JOURNEY
KWLAQ
KWLAQ
PERSONA & STORYBOARD
PERSONA & STORYBOARD
IDEATION
IDEATION
IDEATION
IDEATION
Default image
Caption text
PRIMARY RESEARCH
PRIMARY RESEARCH
AFFINITY MAP
AFFINITY MAP
IMMERSIVE EXPERIENCE CONCEPT
PROCESSING PRIMARY RESEARCH
AEIOU, PERSONA & USER JOURNEY
KWLAQ
KWLAQ
PERSONA & STORYBOARD
PERSONA & STORYBOARD
IDEATION
IDEATION
IDEATION
IDEATION
Default image
Caption text
PRIMARY RESEARCH
PRIMARY RESEARCH
AFFINITY MAP
AFFINITY MAP
IMMERSIVE EXPERIENCE CONCEPT
PROCESSING PRIMARY RESEARCH
AEIOU, PERSONA & USER JOURNEY
KWLAQ
KWLAQ
PERSONA & STORYBOARD
PERSONA & STORYBOARD
IDEATION
IDEATION
IDEATION
IDEATION
Default image
Caption text
PRIMARY RESEARCH
PRIMARY RESEARCH
AFFINITY MAP
AFFINITY MAP
PROCESSING PRIMARY RESEARCH
AEIOU, PERSONA & USER JOURNEY
KWLAQ
KWLAQ
PERSONA & STORYBOARD
PERSONA & STORYBOARD
IDEATION
IDEATION
IDEATION
IDEATION
PRIMARY RESEARCH
PRIMARY RESEARCH
AFFINITY MAP
AFFINITY MAP
PROCESSING PRIMARY RESEARCH
AEIOU, PERSONA & USER JOURNEY
KWLAQ
KWLAQ
PERSONA & STORYBOARD
PERSONA & STORYBOARD
IDEATION
IDEATION
IDEATION
IDEATION
PRIMARY RESEARCH
PRIMARY RESEARCH
AFFINITY MAP
AFFINITY MAP
PROCESSING PRIMARY RESEARCH
AEIOU, PERSONA & USER JOURNEY
KWLAQ
KWLAQ
PERSONA & STORYBOARD
PERSONA & STORYBOARD
IDEATION
IDEATION
IDEATION
IDEATION
OLD BRANDING ACCESSIBILITY ISSUES
WIREFRAMES
MARKETING AFTER MY HELP REBRANDING
WCAG ACCESSIBILITY ISSUES
CARD SORTING
NEW BRANIDING
GRID SYSTEM & BREAKPOINTS
USABILITY TESTING
NEW BRANDING WCAG
OLD BRANDING ACCESSIBILITY ISSUES
WIREFRAMES
MARKETING AFTER MY HELP REBRANDING
WCAG ACCESSIBILITY ISSUES
CARD SORTING
NEW BRANIDING
GRID SYSTEM & BREAKPOINTS
USABILITY TESTING
NEW BRANDING WCAG
OLD BRANDING ACCESSIBILITY ISSUES
WIREFRAMES
MARKETING AFTER MY HELP REBRANDING
WCAG ACCESSIBILITY ISSUES
CARD SORTING
NEW BRANIDING
GRID SYSTEM & BREAKPOINTS
USABILITY TESTING
NEW BRANDING WCAG
OLD BRANDING ACCESSIBILITY ISSUES
OLD BRANDING ACCESSIBILITY ISSUES
WIREFRAMES
WIREFRAMES
MARKETING AFTER MY HELP REBRANDING
WCAG ACCESSIBILITY ISSUES
WCAG ACCESSIBILITY ISSUES
CARD SORTING
CARD SORTING
NEW BRANIDING
NEW BRANIDING AFTER MY HELP
GRID SYSTEM & BREAKPOINTS
GRID SYSTEM & BREAKPOINTS
USABILITY TESTING
USABILITY TESTING
NEW BRANDING WCAG
NEW BRANDING WCAG
OLD BRANDING ACCESSIBILITY ISSUES
OLD BRANDING ACCESSIBILITY ISSUES
WIREFRAMES
WIREFRAMES
MARKETING AFTER MY HELP REBRANDING
WCAG ACCESSIBILITY ISSUES
WCAG ACCESSIBILITY ISSUES
CARD SORTING
CARD SORTING
NEW BRANIDING
NEW BRANIDING AFTER MY HELP
GRID SYSTEM & BREAKPOINTS
GRID SYSTEM & BREAKPOINTS
USABILITY TESTING
USABILITY TESTING
NEW BRANDING WCAG
NEW BRANDING WCAG
OLD BRANDING ACCESSIBILITY ISSUES
OLD BRANDING ACCESSIBILITY ISSUES
WIREFRAMES
WIREFRAMES
MARKETING AFTER MY HELP REBRANDING
WCAG ACCESSIBILITY ISSUES
WCAG ACCESSIBILITY ISSUES
CARD SORTING
CARD SORTING
NEW BRANIDING
NEW BRANIDING AFTER MY HELP
GRID SYSTEM & BREAKPOINTS
GRID SYSTEM & BREAKPOINTS
USABILITY TESTING
USABILITY TESTING
NEW BRANDING WCAG
NEW BRANDING WCAG

The problem

TOP CHALLENGES

Influencers primarily rely on vanity metrics (likes, comments) rather than actionable data, which prevents them from correctly diagnosing their skill gap and leads to wasted effort.

AI Competition: The challenge is to prove that our structured, expert-led content is more valuable and actionable than generic AI-generated information.

AI Competition: The challenge is to prove that our structured, expert-led content is more valuable and actionable than generic AI-generated information.

Gamification Balance: To avoid drop-off, users need to remain entertained and engaged with the app, but not so much so that they are distracted while taking courses.

Arising Challenges

SOLUTIONS

AI Competition: The challenge is to prove that our structured, expert-led content is more valuable and actionable than generic AI-generated information.

I used precision gamification, implementing it in moderation to counteract learner fatigue. By targeting elements only at usability tested drop-off and high-friction points, I maximized engagement and drove sustained user focus without allowing distraction from core tasks.

AI Competition: The challenge is to prove that our structured, expert-led content is more valuable and actionable than generic AI-generated information.

This app is powered by a personalized AI assistant. This AI analyzed a user's platform data, learning history, and search queries to provide tailored, data-driven advice. This provided a level of customized support that generic AI models couldn't match.

GRID SYSTEM
GRID SYSTEM
THUMB ZONE
THUMB ZONE
WCAG
WCAG
COLOR PALETTE
COLOR PALETTE
GRID SYSTEM
GRID SYSTEM
THUMB ZONE
THUMB ZONE
WCAG
WCAG
COLOR PALETTE
COLOR PALETTE
GRID SYSTEM
GRID SYSTEM
THUMB ZONE
THUMB ZONE
WCAG
WCAG
COLOR PALETTE
COLOR PALETTE
GRID SYSTEM
GRID SYSTEM
THUMB ZONE
THUMB ZONE
WCAG
WCAG
COLOR PALETTE
COLOR PALETTE
GRID SYSTEM
GRID SYSTEM
THUMB ZONE
THUMB ZONE
WCAG
WCAG
COLOR PALETTE
COLOR PALETTE
GRID SYSTEM
GRID SYSTEM
THUMB ZONE
THUMB ZONE
WCAG
WCAG
COLOR PALETTE
COLOR PALETTE
GRID SYSTEM
GRID SYSTEM
THUMB ZONE
THUMB ZONE
WCAG
WCAG
COLOR PALETTE
COLOR PALETTE
GRID SYSTEM
GRID SYSTEM
THUMB ZONE
THUMB ZONE
WCAG
WCAG
COLOR PALETTE
COLOR PALETTE
GRID SYSTEM
GRID SYSTEM
THUMB ZONE
THUMB ZONE
WCAG
WCAG
COLOR PALETTE
COLOR PALETTE
GRID SYSTEM
GRID SYSTEM
THUMB ZONE
THUMB ZONE
WCAG
WCAG
COLOR PALETTE
COLOR PALETTE
GRID SYSTEM
GRID SYSTEM
THUMB ZONE
THUMB ZONE
WCAG
WCAG
COLOR PALETTE
COLOR PALETTE
GRID SYSTEM
GRID SYSTEM
THUMB ZONE
THUMB ZONE
WCAG
WCAG
COLOR PALETTE
COLOR PALETTE

The sOLUTION

THE RESULTS

Influencers primarily rely on vanity metrics (likes, comments) rather than actionable data, which prevents them from correctly diagnosing their skill gap and leads to wasted effort.

The MVP successfully launched to a targeted group of influencers, achieving a 35% conversion rate from free trial to paid subscription. This resulted in 3,500 paying users in the first 90 days, with a strong 30% day-30 retention rate.

AI Competition: The challenge is to prove that our structured, expert-led content is more valuable and actionable than generic AI-generated information.

The personalized AI assistant saw strong adoption, with 75% of users engaging with the chat feature weekly. The AI's tailored advice led to a 15% increase in course completion rates, proving its value in driving user success.

AR ZONE USER TESTING
AR ZONE USER TESTING
AR ZONE USER TESTING
AR ZONE USER TESTING
AR Zone Testing
AR ZONE TESTING
Wizard of OZ User Testing
WIZARD OF OZ (USER TESTING)
T-Stone Device
T-STONE DEVICE
T-Stone Device Parts
T-STONE DEVICE PARTS
AR ZONE USER TESTING
AR ZONE USER TESTING
AR ZONE USER TESTING
AR ZONE USER TESTING
AR Zone Testing
AR ZONE TESTING
Wizard of OZ User Testing
WIZARD OF OZ (USER TESTING)
T-Stone Device
T-STONE DEVICE
T-Stone Device Parts
T-STONE DEVICE PARTS
AR ZONE USER TESTING
AR ZONE USER TESTING
AR ZONE USER TESTING
AR ZONE USER TESTING
AR Zone Testing
AR ZONE TESTING
Wizard of OZ User Testing
WIZARD OF OZ (USER TESTING)
T-Stone Device
T-STONE DEVICE
T-Stone Device Parts
T-STONE DEVICE PARTS
T-Stone Device
T-STONE DEVICE
T-Stone Device Parts
T-STONE DEVICE PARTS
GRYROSCOPIC EFFECT SPINNER
AR ZONE USER TESTING
AR ZONE USER TESTING
AR ZONE USER TESTING
AR ZONE USER TESTING
AR Zone Testing
AR ZONE TESTING
Wizard of OZ User Testing
WIZARD OF OZ (USER TESTING)
T-Stone Device
T-STONE DEVICE
T-Stone Device Parts
T-STONE DEVICE PARTS
GRYROSCOPIC EFFECT SPINNER
AR ZONE USER TESTING
AR ZONE USER TESTING
AR ZONE USER TESTING
AR ZONE USER TESTING
AR Zone Testing
AR ZONE TESTING
Wizard of OZ User Testing
WIZARD OF OZ (USER TESTING)
T-Stone Device
T-STONE DEVICE
T-Stone Device Parts
T-STONE DEVICE PARTS
GRYROSCOPIC EFFECT SPINNER
AR ZONE USER TESTING
AR ZONE USER TESTING
AR ZONE USER TESTING
AR ZONE USER TESTING
AR Zone Testing
AR ZONE TESTING
Wizard of OZ User Testing
WIZARD OF OZ (USER TESTING)
Course Catalog
Course Catalog

Course Catalog

Splash Screen

Splash Screen
Splash Screen

Course Modules List

Course Module List
Course Module List

AI Chat

AI Chat
AI Chat

top Pain points

Influencers can't easily pinpoint their performance weaknesses or prioritize necessary changes.

Users struggle to translate what they learn into effective, tangible actions on their platforms.

Learners quickly experience fatigue and distractions when taking digital courses.

top Insights

Influencers primarily rely on vanity metrics (likes, comments) rather than actionable data, which prevents them from correctly diagnosing their skill gap and leads to wasted effort.

Influencers primarily rely on vanity metrics (likes, comments) rather than actionable data, which prevents them from correctly diagnosing their skill gap and leads to wasted effort.

E-learning content is too abstract and lacks the necessary platform-specific, context-aware execution tools required for creators to successfully bridge theory and practice.

Passive, mandatory digital content fails to satisfy the creator's need for immediate, tangible progress and results. User motivation is quickly depleted, requiring a design shift toward active, intrinsically rewarding models to drive sustained focus and course completion.

CLIENT

INFLUENCER PRO

Contribution

Product Deveoper

UX Designer

Branding Advisor

Brief

Create a mobile-only MVP for an e-learning app that empowers influencers to grow their platforms. The app features concise, high-impact video courses from top-tier experts, with a core set of features to quickly test market demand and gather user feedback.

My process

I utilize a design thinking process, which is non-linear. If you would like to see my process for this project and others, visit my UX research portfolio.

CLIENT

INFLUENCER PRO

Contribution

Product Deveoper

UX Designer

Branding Advisor

Brief

Create a mobile-only MVP for an e-learning app that empowers influencers to grow their platforms. The app features concise, high-impact video courses from top-tier experts, with a core set of features to quickly test market demand and gather user feedback.

My process

I utilize a design thinking process, which is non-linear. If you would like to see my process for this project and others, visit my UX research portfolio.

RESEARCH METHODS
RESEARCH METHODS
USER TESTING
USER TESTING
INSIGHTS
INSIGHTS
ROUND 2: USER TESTING
ROUND 2: USER TESTING
USABILITY TESTING
USABILITY TESTING
RESEARCH METHODS
RESEARCH METHODS
USER TESTING
USER TESTING
INSIGHTS
INSIGHTS
ROUND 2: USER TESTING
ROUND 2: USER TESTING
USABILITY TESTING
USABILITY TESTING
RESEARCH METHODS
RESEARCH METHODS
USER TESTING
USER TESTING
INSIGHTS
INSIGHTS
ROUND 2: USER TESTING
ROUND 2: USER TESTING
USABILITY TESTING
USABILITY TESTING
PRIMARY RESEARCH
PRIMARY RESEARCH
AFFINITY MAP
AFFINITY MAP
IMMERSIVE EXPERIENCE CONCEPT
PROCESSING PRIMARY RESEARCH
PROCESSING PRIMARY RESEARCH
TARGET GROUP
TARGET GROUP
PAIN POINTS
PAIN POINTS
KWLAQ
KWLAQ
PERSONA & STORYBOARD
PERSONA & STORYBOARD
IDEATION
IDEATION
IDEATION
IDEATION
IMMERSIVE EXPERIENCE
IMMERSIVE EXPERIENCE
PRIMARY RESEARCH
PRIMARY RESEARCH
AFFINITY MAP
AFFINITY MAP
IMMERSIVE EXPERIENCE CONCEPT
PROCESSING PRIMARY RESEARCH
PROCESSING PRIMARY RESEARCH
TARGET GROUP
TARGET GROUP
PAIN POINTS
PAIN POINTS
KWLAQ
KWLAQ
PERSONA & STORYBOARD
PERSONA & STORYBOARD
IDEATION
IDEATION
IDEATION
IDEATION
IMMERSIVE EXPERIENCE
IMMERSIVE EXPERIENCE
PRIMARY RESEARCH
PRIMARY RESEARCH
AFFINITY MAP
AFFINITY MAP
IMMERSIVE EXPERIENCE CONCEPT
PROCESSING PRIMARY RESEARCH
PROCESSING PRIMARY RESEARCH
TARGET GROUP
TARGET GROUP
PAIN POINTS
PAIN POINTS
KWLAQ
KWLAQ
PERSONA & STORYBOARD
PERSONA & STORYBOARD
IDEATION
IDEATION
IDEATION
IDEATION
IMMERSIVE EXPERIENCE
IMMERSIVE EXPERIENCE
PRIMARY RESEARCH
PRIMARY RESEARCH
AFFINITY MAP
AFFINITY MAP
PROCESSING PRIMARY RESEARCH
AEIOU, PERSONA & USER JOURNEY
KWLAQ
KWLAQ
PERSONA & STORYBOARD
PERSONA & STORYBOARD
IDEATION
IDEATION
IDEATION
IDEATION
PRIMARY RESEARCH
PRIMARY RESEARCH
AFFINITY MAP
AFFINITY MAP
PROCESSING PRIMARY RESEARCH
AEIOU, PERSONA & USER JOURNEY
KWLAQ
KWLAQ
PERSONA & STORYBOARD
PERSONA & STORYBOARD
IDEATION
IDEATION
IDEATION
IDEATION
PRIMARY RESEARCH
PRIMARY RESEARCH
AFFINITY MAP
AFFINITY MAP
PROCESSING PRIMARY RESEARCH
AEIOU, PERSONA & USER JOURNEY
KWLAQ
KWLAQ
PERSONA & STORYBOARD
PERSONA & STORYBOARD
IDEATION
IDEATION
IDEATION
IDEATION
OLD BRANDING ACCESSIBILITY ISSUES
OLD BRANDING ACCESSIBILITY ISSUES
WIREFRAMES
WIREFRAMES
MARKETING AFTER MY HELP REBRANDING
WCAG ACCESSIBILITY ISSUES
WCAG ACCESSIBILITY ISSUES
CARD SORTING
CARD SORTING
NEW BRANIDING
NEW BRANIDING
GRID SYSTEM & BREAKPOINTS
GRID SYSTEM & BREAKPOINTS
USABILITY TESTING
USABILITY TESTING
NEW BRANDING WCAG
NEW BRANDING WCAG
OLD BRANDING ACCESSIBILITY ISSUES
OLD BRANDING ACCESSIBILITY ISSUES
WIREFRAMES
WIREFRAMES
MARKETING AFTER MY HELP REBRANDING
WCAG ACCESSIBILITY ISSUES
WCAG ACCESSIBILITY ISSUES
CARD SORTING
CARD SORTING
NEW BRANIDING
NEW BRANIDING
GRID SYSTEM & BREAKPOINTS
GRID SYSTEM & BREAKPOINTS
USABILITY TESTING
USABILITY TESTING
NEW BRANDING WCAG
NEW BRANDING WCAG
OLD BRANDING ACCESSIBILITY ISSUES
OLD BRANDING ACCESSIBILITY ISSUES
WIREFRAMES
WIREFRAMES
MARKETING AFTER MY HELP REBRANDING
WCAG ACCESSIBILITY ISSUES
WCAG ACCESSIBILITY ISSUES
CARD SORTING
CARD SORTING
NEW BRANIDING
NEW BRANIDING
GRID SYSTEM & BREAKPOINTS
GRID SYSTEM & BREAKPOINTS
USABILITY TESTING
USABILITY TESTING
NEW BRANDING WCAG
NEW BRANDING WCAG
OLD IMAGERY VS CUSTOMER PREFERENCE IMAGERY
OLD IMAGERY VS CUSTOMER PREFERENCE IMAGERY
SCS BEFORE OUR HELP (PRICE-DRIVEN)
SCS AFTER OUR HELP (EMOTIONAL)
WIREFRAMES
WIREFRAMES
REOCURRING THEMES
REOCURRING THEMES
INSIGHTS
INSIGHTS
USABIILITY TESTING
USABIILITY TESTING
RESEARCH METHODS
RESEARCH METHODS
OLD IMAGERY VS CUSTOMER PREFERENCE IMAGERY
OLD IMAGERY VS CUSTOMER PREFERENCE IMAGERY
SCS BEFORE OUR HELP (PRICE-DRIVEN)
SCS AFTER OUR HELP (EMOTIONAL)
WIREFRAMES
WIREFRAMES
REOCURRING THEMES
REOCURRING THEMES
INSIGHTS
INSIGHTS
USABIILITY TESTING
USABIILITY TESTING
RESEARCH METHODS
RESEARCH METHODS
OLD IMAGERY VS CUSTOMER PREFERENCE IMAGERY
OLD IMAGERY VS CUSTOMER PREFERENCE IMAGERY
SCS BEFORE OUR HELP (PRICE-DRIVEN)
SCS AFTER OUR HELP (EMOTIONAL)
WIREFRAMES
WIREFRAMES
REOCURRING THEMES
REOCURRING THEMES
INSIGHTS
INSIGHTS
USABIILITY TESTING
USABIILITY TESTING
RESEARCH METHODS
RESEARCH METHODS
INSIGHTS
INSIGHTS
USABIILITY TESTING
USABIILITY TESTING
PRIMARY RESEARCH
RESEARCH METHODS
PRIMARY RESEARCH ROUND 2
PRIMARY RESEARCH ROUND 2
INSIGHTS
INSIGHTS
USABIILITY TESTING
USABIILITY TESTING
PRIMARY RESEARCH
RESEARCH METHODS
PRIMARY RESEARCH ROUND 2
PRIMARY RESEARCH ROUND 2
INSIGHTS
INSIGHTS
USABIILITY TESTING
USABIILITY TESTING
PRIMARY RESEARCH
RESEARCH METHODS
PRIMARY RESEARCH ROUND 2
PRIMARY RESEARCH ROUND 2
INSIGHTS
INSIGHTS
USABIILITY TESTING
USABIILITY TESTING
PRIMARY RESEARCH
RESEARCH METHODS
PRIMARY RESEARCH ROUND 2
PRIMARY RESEARCH ROUND 2
INSIGHTS
INSIGHTS
USABIILITY TESTING
USABIILITY TESTING
PRIMARY RESEARCH
RESEARCH METHODS
PRIMARY RESEARCH ROUND 2
PRIMARY RESEARCH ROUND 2
INSIGHTS
INSIGHTS
USABIILITY TESTING
USABIILITY TESTING
PRIMARY RESEARCH
RESEARCH METHODS
PRIMARY RESEARCH ROUND 2
PRIMARY RESEARCH ROUND 2
USER TESTING ROUND 1
RESEARCH METHODS
ROUND 2: USER TESTING
ROUND 2: USER TESTING
USER TESTING ROUND 2
PRIMARY RESEARCH
INSIGHTS
INSIGHTS
USER TESTING ROUND 1
RESEARCH METHODS
ROUND 2: USER TESTING
ROUND 2: USER TESTING
USER TESTING ROUND 2
PRIMARY RESEARCH
INSIGHTS
INSIGHTS
USER TESTING ROUND 1
RESEARCH METHODS
ROUND 2: USER TESTING
ROUND 2: USER TESTING
USER TESTING ROUND 2
PRIMARY RESEARCH
INSIGHTS
INSIGHTS
USER TESTING ROUND 1
RESEARCH METHODS
ROUND 2: USER TESTING
ROUND 2: USER TESTING
USER TESTING ROUND 2
PRIMARY RESEARCH
INSIGHTS
INSIGHTS
USER TESTING ROUND 1
RESEARCH METHODS
ROUND 2: USER TESTING
ROUND 2: USER TESTING
USER TESTING ROUND 2
PRIMARY RESEARCH
INSIGHTS
INSIGHTS
USER TESTING ROUND 1
RESEARCH METHODS
ROUND 2: USER TESTING
ROUND 2: USER TESTING
USER TESTING ROUND 2
PRIMARY RESEARCH
INSIGHTS
INSIGHTS
USER TESTING ROUND 1
RESEARCH METHODS
ROUND 2: USER TESTING
ROUND 2: USER TESTING
USER TESTING ROUND 2
PRIMARY RESEARCH
INSIGHTS
INSIGHTS
USER TESTING ROUND 1
RESEARCH METHODS
ROUND 2: USER TESTING
ROUND 2: USER TESTING
USER TESTING ROUND 2
PRIMARY RESEARCH
INSIGHTS
INSIGHTS
USER TESTING ROUND 1
RESEARCH METHODS
ROUND 2: USER TESTING
ROUND 2: USER TESTING
USER TESTING ROUND 2
PRIMARY RESEARCH
INSIGHTS
INSIGHTS
USER TESTING ROUND 1
RESEARCH METHODS
ROUND 2: USER TESTING
ROUND 2: USER TESTING
USER TESTING ROUND 2
PRIMARY RESEARCH
INSIGHTS
INSIGHTS
USER TESTING ROUND 1
RESEARCH METHODS
ROUND 2: USER TESTING
ROUND 2: USER TESTING
USER TESTING ROUND 2
PRIMARY RESEARCH
INSIGHTS
INSIGHTS
USER TESTING ROUND 1
RESEARCH METHODS
ROUND 2: USER TESTING
ROUND 2: USER TESTING
USER TESTING ROUND 2
PRIMARY RESEARCH
INSIGHTS
INSIGHTS
GRID SYSTEM
Thumb Zone
WCAG
COLOR PALETTE
GRID SYSTEM
Thumb Zone
WCAG
COLOR PALETTE
GRID SYSTEM
Thumb Zone
WCAG
COLOR PALETTE
GRID SYSTEM
Thumb Zone
WCAG
COLOR PALETTE
GRID SYSTEM
Thumb Zone
WCAG
COLOR PALETTE
GRID SYSTEM
Thumb Zone
WCAG
COLOR PALETTE
GRID SYSTEM
GRID SYSTEM
THUMB ZONE
THUMB ZONE
WCAG
WCAG
COLOR PALETTE
COLOR PALETTE
GRID SYSTEM
GRID SYSTEM
THUMB ZONE
THUMB ZONE
WCAG
WCAG
COLOR PALETTE
COLOR PALETTE
GRID SYSTEM
GRID SYSTEM
THUMB ZONE
THUMB ZONE
WCAG
WCAG
COLOR PALETTE
COLOR PALETTE
GRID SYSTEM
GRID SYSTEM
THUMB ZONE
THUMB ZONE
WCAG
WCAG
COLOR PALETTE
COLOR PALETTE
GRID SYSTEM
GRID SYSTEM
THUMB ZONE
THUMB ZONE
WCAG
WCAG
COLOR PALETTE
COLOR PALETTE
GRID SYSTEM
GRID SYSTEM
THUMB ZONE
THUMB ZONE
WCAG
WCAG
COLOR PALETTE
COLOR PALETTE
OLD IMAGERY VS CUSTOMER PREFERENCE IMAGERY
OLD IMAGERY VS CUSTOMER PREFERENCE IMAGERY
SCS BEFORE OUR HELP (PRICE-DRIVEN)
SCS AFTER OUR HELP (EMOTIONAL)
WIREFRAMES
WIREFRAMES
REOCURRING THEMES
REOCURRING THEMES
INSIGHTS
INSIGHTS
USABIILITY TESTING
USABIILITY TESTING
RESEARCH METHODS
RESEARCH METHODS
OLD IMAGERY VS CUSTOMER PREFERENCE IMAGERY
OLD IMAGERY VS CUSTOMER PREFERENCE IMAGERY
SCS BEFORE OUR HELP (PRICE-DRIVEN)
SCS AFTER OUR HELP (EMOTIONAL)
WIREFRAMES
WIREFRAMES
REOCURRING THEMES
REOCURRING THEMES
INSIGHTS
INSIGHTS
USABIILITY TESTING
USABIILITY TESTING
RESEARCH METHODS
RESEARCH METHODS
OLD IMAGERY VS CUSTOMER PREFERENCE IMAGERY
OLD IMAGERY VS CUSTOMER PREFERENCE IMAGERY
SCS BEFORE OUR HELP (PRICE-DRIVEN)
SCS AFTER OUR HELP (EMOTIONAL)
WIREFRAMES
WIREFRAMES
REOCURRING THEMES
REOCURRING THEMES
INSIGHTS
INSIGHTS
USABIILITY TESTING
USABIILITY TESTING
RESEARCH METHODS
RESEARCH METHODS

top insights

Influencers primarily rely on vanity metrics (likes, comments) rather than actionable data, which prevents them from correctly diagnosing their skill gap and leads to wasted effort.

E-learning content is too abstract and lacks the necessary platform-specific, context-aware execution tools required for creators to successfully bridge theory and practice.

Passive, mandatory digital content fails to satisfy the creator's need for immediate, tangible progress and results. User motivation is quickly depleted, requiring a design shift toward active, intrinsically rewarding models to drive sustained focus and course completion.

Passive, mandatory digital content fails to satisfy the creator's need for immediate, tangible progress and results. User motivation is quickly depleted, requiring a design shift toward active, intrinsically rewarding models to drive sustained focus and course completion.

TOP CHALLENGES

AI Competition: The challenge is to prove that our structured, expert-led content is more valuable and actionable than generic AI-generated information.

Gamification Balance: To avoid drop-off, users need to remain entertained and engaged with the app, but not so much so that they are distracted while taking courses.

Passive, mandatory digital content fails to satisfy the creator's need for immediate, tangible progress and results. User motivation is quickly depleted, requiring a design shift toward active, intrinsically rewarding models to drive sustained focus and course completion.

SOLUTIONS

I used precision gamification, implementing it in moderation to counteract learner fatigue. By targeting elements only at usability tested drop-off and high-friction points, I maximized engagement and drove sustained user focus without allowing distraction from core tasks.

This app is powered by a personalized AI assistant. This AI analyzed a user's platform data, learning history, and search queries to provide tailored, data-driven advice. This provided a level of customized support that generic AI models couldn't match.

results

The MVP successfully launched to a targeted group of influencers, achieving a 35% conversion rate from free trial to paid subscription. This resulted in 3,500 paying users in the first 90 days, with a strong 30% day-30 retention rate.

The personalized AI assistant saw strong adoption, with 75% of users engaging with the chat feature weekly. The AI's tailored advice led to a 15% increase in course completion rates, proving its value in driving user success.

Course Catalog
Course Catalog

Course Catalog

Course Module List
Course Module List

Course Modules List

Splash Screen

Splash Screen
Splash Screen
Ai Chat
Ai Chat

AI Chat

AR ZONE USER TESTING
AR ZONE USER TESTING
AR ZONE USER TESTING
AR ZONE USER TESTING
AR Zone Testing
AR ZONE TESTING
Wizard of OZ User Testing
WIZARD OF OZ (USER TESTING)
T-Stone Device
T-STONE DEVICE
T-Stone Device Parts
T-STONE DEVICE PARTS
T-Stone Device
T-STONES
AR ZONE USER TESTING
AR ZONE USER TESTING
AR ZONE USER TESTING
AR ZONE USER TESTING
AR Zone Testing
AR ZONE TESTING
Wizard of OZ User Testing
WIZARD OF OZ (USER TESTING)
T-Stone Device
T-STONE DEVICE
T-Stone Device Parts
T-STONE DEVICE PARTS
T-Stone Device
T-STONES
AR ZONE USER TESTING
AR ZONE USER TESTING
AR ZONE USER TESTING
AR ZONE USER TESTING
AR Zone Testing
AR ZONE TESTING
Wizard of OZ User Testing
WIZARD OF OZ (USER TESTING)
T-Stone Device
T-STONE DEVICE
T-Stone Device Parts
T-STONE DEVICE PARTS
T-Stone Device
T-STONES
T-Stone Device
T-STONE DEVICE
T-Stone Device Parts
T-STONE DEVICE PARTS
GYROSCOPIC EFFECT SPINNER
AR ZONE USER TESTING
AR ZONE USER TESTING
AR ZONE USER TESTING
AR ZONE USER TESTING
AR Zone Testing
AR ZONE TESTING
Wizard of OZ User Testing
WIZARD OF OZ (USER TESTING)
T-Stone Device
T-STONE DEVICE
T-Stone Device Parts
T-STONE DEVICE PARTS
GYROSCOPIC EFFECT SPINNER
AR ZONE USER TESTING
AR ZONE USER TESTING
AR ZONE USER TESTING
AR ZONE USER TESTING
AR Zone Testing
AR ZONE TESTING
Wizard of OZ User Testing
WIZARD OF OZ (USER TESTING)
T-Stone Device
T-STONE DEVICE
T-Stone Device Parts
T-STONE DEVICE PARTS
GYROSCOPIC EFFECT SPINNER
AR ZONE USER TESTING
AR ZONE USER TESTING
AR ZONE USER TESTING
AR ZONE USER TESTING
AR Zone Testing
AR ZONE TESTING
Wizard of OZ User Testing
WIZARD OF OZ (USER TESTING)

tHE bRIEF

Create a mobile-only MVP for an e-learning app that empowers influencers to grow their platforms. The app features concise, high-impact video courses from top-tier experts, with a core set of features to quickly test market demand and gather user feedback.

My process

I utilize a design thinking process, which is non-linear. If you would like to see my process for this project and others, visit my UX research portfolio.

My process

I utilize a design thinking process, which is non-linear. If you would like to see my process for this project and others, visit my UX research portfolio.

top pain points

Influencers can't easily pinpoint their performance weaknesses or prioritize necessary changes.

Users struggle to translate what they learn into effective, tangible actions on their platforms.

Learners quickly experience fatigue and distractions when taking digital courses.