Project type
Start-Up
sector
E-Learning
Creator Economy
Team
Solo
Tools
Figma
Adobe Photoshop
Hotjar
Time
8 Weeks
CLIENT
INFLUENCER PRO
role
role
Contribution
MVP Definition and Scope Management
Mobile-First UX/UI Design
Content Architecture and Information Design
Rapid A/B Testing and User Feedback Loop Creation
Content Architecture and Information Design
Rapid A/B Testing and User Feedback Loop Creation
objective
Create a mobile-only MVP for an e-learning app that empowers influencers to grow their platforms. The app should have a core set of features to quickly test market demand and gather user feedback.
THE CHALLENGE: FEATURE CREEP AND CONTENT OVERLOAD
The key challenge was balancing high user expectations with the constraints of an MVP (Minimum Viable Product). The influencer market demanded rapid, mobile-native learning, but the risk was feature creep and content overload, which would dilute the core value proposition and delay market validation. We needed to distill complex platform growth strategies into digestible, actionable content delivered seamlessly on mobile.
The key challenge was balancing high user expectations with the constraints of an MVP (Minimum Viable Product). The influencer market demanded rapid, mobile-native learning, but the risk was feature creep and content overload, which would dilute the core value proposition and delay market validation. We needed to distill complex platform growth strategies into digestible, actionable content delivered seamlessly on mobile.
THE STRATEGY: MOBILE-FIRST ATOMIC LEARNING
I implemented a Mobile-First Atomic Learning strategy. This involved breaking down complex courses into minute-long, actionable content units that could be consumed while on the go. The strategy focused on low-friction onboarding and immediate delivery of perceived value. We leveraged usage data and heatmaps to constantly refine content architecture, ensuring the MVP contained only the features that solved the highest-priority pain points for platform growth.
I implemented a Mobile-First Atomic Learning strategy. This involved breaking down complex courses into minute-long, actionable content units that could be consumed while on the go. The strategy focused on low-friction onboarding and immediate delivery of perceived value. We leveraged usage data and heatmaps to constantly refine content architecture, ensuring the MVP contained only the features that solved the highest-priority pain points for platform growth.
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
THE SOLUTION: THE ACTIONABLE LESSON DASHBOARD
I designed a clean, intuitive Actionable Lesson Dashboard prioritizing fast learning and instant practice. Key features included:
I designed a clean, intuitive Actionable Lesson Dashboard prioritizing fast learning and instant practice. Key features included:
Swipe-Based Content Delivery: Mimicking social media feeds to lower cognitive load. Progress Visualization: Simple, motivating progress bars tied to specific growth outcomes (e.g., "Monetization Ready"). Native Feedback Loops: Built-in mechanisms to capture qualitative feedback after every lesson, steering the next development sprint. The solution guaranteed the fastest path to product-market fit.
Swipe-Based Content Delivery: Mimicking social media feeds to lower cognitive load. Progress Visualization: Simple, motivating progress bars tied to specific growth outcomes (e.g., "Monetization Ready"). Native Feedback Loops: Built-in mechanisms to capture qualitative feedback after every lesson, steering the next development sprint. The solution guaranteed the fastest path to product-market fit.
THE IMPACT: Rapid Validation and High Engagement (Metric Blurbs)
THE IMPACT: Rapid Validation and High Engagement (Metric Blurbs)
Time to Market: Successfully launched the core MVP features within 4 months, meeting the rapid market testing objective. Feature Validation: Identified the top 3 most valuable features (e.g., "Hashtag Strategy Tool") for the next phase of development, validating the core scope. User Engagement (DAU/MAU): Achieved a high user retention rate with a Daily Active User (DAU) to Monthly Active User (MAU) ratio of 30%, demonstrating strong engagement with the content structure. Content Consumption: Average time spent per learning unit was 1.5 minutes, confirming the success of the "Atomic Learning" strategy for mobile consumption.
Course Catalog
Splash Screen
Course Modules List
AI Chat
CLIENT
INFLUENCER PRO
sector
E-Learning
Creator Economy
role
Project Type
Start-Up
Tools
Figma
Adobe Photoshop
Hotjar
Team
Solo
Time
8 Weeks
Contribution
Tools
Figma
Adobe Photoshop
Hotjar
Adobe Photoshop
Hotjar
Contribution
MVP Definition and Scope Management
Mobile-First UX/UI Design
Content Architecture and Information Design
Rapid A/B Testing and User Feedback Loop Creation
CLIENT
INFLUENCER PRO
sector
E-Learning
Creator Economy
role
Project Type
Start-Up
Tools
Figma
Adobe Photoshop
Hotjar
Team
Solo
Time
8 Weeks
Contribution
MVP Definition and Scope Management
Mobile-First UX/UI Design
Content Architecture and Information Design
Rapid A/B Testing and User Feedback Loop Creation
INFLUENCER PRO
INFLUENCER PRO
INFLUENCER PRO
INFLUENCER PRO
INFLUENCER PRO
PROJECT TYPE
Start-Up
sector
E-Learning
Creator Economy
Team
Solo
tools
Figma
Adobe Photoshop
Hotjar
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
▼
Real Recommendations
by real
people
Featuring
curators
from
around
the
world
▼
RESEARCH METHODS
ROUND 2: USER TESTING
PRIMARY RESEARCH
INSIGHTS
RESEARCH METHODS
ROUND 2: USER TESTING
PRIMARY RESEARCH
INSIGHTS
RESEARCH METHODS
ROUND 2: USER TESTING
PRIMARY RESEARCH
INSIGHTS
RESEARCH METHODS
ROUND 2: USER TESTING
PRIMARY RESEARCH
INSIGHTS
RESEARCH METHODS
ROUND 2: USER TESTING
PRIMARY RESEARCH
INSIGHTS
RESEARCH METHODS
ROUND 2: USER TESTING
PRIMARY RESEARCH
INSIGHTS
RESEARCH METHODS
ROUND 2: USER TESTING
PRIMARY RESEARCH
INSIGHTS
RESEARCH METHODS
ROUND 2: USER TESTING
PRIMARY RESEARCH
INSIGHTS
RESEARCH METHODS
ROUND 2: USER TESTING
PRIMARY RESEARCH
INSIGHTS
RESEARCH METHODS
ROUND 2: USER TESTING
PRIMARY RESEARCH
INSIGHTS
RESEARCH METHODS
ROUND 2: USER TESTING
PRIMARY RESEARCH
INSIGHTS
RESEARCH METHODS
ROUND 2: USER TESTING
PRIMARY RESEARCH
INSIGHTS
OLD IMAGERY VS CUSTOMER PREFERENCE IMAGERY
NEW SCS IMAGERY (CUSTOMER PREFERRED)
SCS BEFORE OUR HELP (PRICE-DRIVEN)
SCS AFTER OUR HELP (EMOTIONAL)
WIREFRAMES
INSIGHTS
USABIILITY TESTING
RESEARCH METHODS
PRIMARY RESEARCH ROUND 2
OLD IMAGERY VS CUSTOMER PREFERENCE IMAGERY
NEW SCS IMAGERY (CUSTOMER PREFERRED)
SCS BEFORE OUR HELP (PRICE-DRIVEN)
SCS AFTER OUR HELP (EMOTIONAL)
WIREFRAMES
INSIGHTS
USABIILITY TESTING
RESEARCH METHODS
PRIMARY RESEARCH ROUND 2
OLD IMAGERY VS CUSTOMER PREFERENCE IMAGERY
NEW SCS IMAGERY (CUSTOMER PREFERRED)
SCS BEFORE OUR HELP (PRICE-DRIVEN)
SCS AFTER OUR HELP (EMOTIONAL)
WIREFRAMES
INSIGHTS
USABIILITY TESTING
RESEARCH METHODS
PRIMARY RESEARCH ROUND 2
OLD SCS IMAGERY
NEW SCS IMAGERY
SCS BEFORE OUR HELP (PRICE-DRIVEN)
SCS AFTER OUR HELP (EMOTIONAL)
WIREFRAMES
INSIGHTS
USABIILITY TESTING
RESEARCH METHODS
PRIMARY RESEARCH ROUND 2
OLD SCS IMAGERY
NEW SCS IMAGERY
SCS BEFORE OUR HELP (PRICE-DRIVEN)
SCS AFTER OUR HELP (EMOTIONAL)
WIREFRAMES
INSIGHTS
USABIILITY TESTING
RESEARCH METHODS
PRIMARY RESEARCH ROUND 2
OLD SCS IMAGERY
NEW SCS IMAGERY
SCS BEFORE OUR HELP (PRICE-DRIVEN)
SCS AFTER OUR HELP (EMOTIONAL)
WIREFRAMES
INSIGHTS
USABIILITY TESTING
RESEARCH METHODS
PRIMARY RESEARCH ROUND 2
PRIMARY RESEARCH
AFFINITY MAP
IMMERSIVE EXPERIENCE CONCEPT
AEIOU, PERSONA & USER JOURNEY
KWLAQ
PERSONA & STORYBOARD
IDEATION
IDEATION
Caption text
PRIMARY RESEARCH
AFFINITY MAP
IMMERSIVE EXPERIENCE CONCEPT
AEIOU, PERSONA & USER JOURNEY
KWLAQ
PERSONA & STORYBOARD
IDEATION
IDEATION
Caption text
PRIMARY RESEARCH
AFFINITY MAP
IMMERSIVE EXPERIENCE CONCEPT
AEIOU, PERSONA & USER JOURNEY
KWLAQ
PERSONA & STORYBOARD
IDEATION
IDEATION
Caption text
PRIMARY RESEARCH
AFFINITY MAP
AEIOU, PERSONA & USER JOURNEY
KWLAQ
PERSONA & STORYBOARD
IDEATION
IDEATION
PRIMARY RESEARCH
AFFINITY MAP
AEIOU, PERSONA & USER JOURNEY
KWLAQ
PERSONA & STORYBOARD
IDEATION
IDEATION
PRIMARY RESEARCH
AFFINITY MAP
AEIOU, PERSONA & USER JOURNEY
KWLAQ
PERSONA & STORYBOARD
IDEATION
IDEATION
OLD BRANDING ACCESSIBILITY ISSUES
WIREFRAMES
BRANDING AFTER MY HELP REBRANDING
EXPERT COMPETITIVE REVIEW
BUYER PERSONA
LEARNER PERSONA
BUYER USER FLOW
SWOT ANALYSIS
LEARNER USER FLOW
CARD SORTING
USABILITY TESTING
COMPANIES THAT TRUST THE APP
WCAG ACCESSIBILITY ISSUES
NEW BRANIDING AFTER MY HELP
GRID SYSTEM & BREAKPOINTS
NEW BRANDING WCAG
OLD BRANDING ACCESSIBILITY ISSUES
WIREFRAMES
BRANDING AFTER MY HELP REBRANDING
EXPERT COMPETITIVE REVIEW
BUYER PERSONA
LEARNER PERSONA
BUYER USER FLOW
SWOT ANALYSIS
LEARNER USER FLOW
CARD SORTING
USABILITY TESTING
COMPANIES THAT TRUST THE APP
WCAG ACCESSIBILITY ISSUES
NEW BRANIDING AFTER MY HELP
GRID SYSTEM & BREAKPOINTS
NEW BRANDING WCAG
OLD BRANDING ACCESSIBILITY ISSUES
WIREFRAMES
BRANDING AFTER MY HELP REBRANDING
EXPERT COMPETITIVE REVIEW
BUYER PERSONA
LEARNER PERSONA
BUYER USER FLOW
SWOT ANALYSIS
LEARNER USER FLOW
CARD SORTING
USABILITY TESTING
COMPANIES THAT TRUST THE APP
WCAG ACCESSIBILITY ISSUES
NEW BRANIDING AFTER MY HELP
GRID SYSTEM & BREAKPOINTS
NEW BRANDING WCAG
OLD BRANDING ACCESSIBILITY ISSUES
WIREFRAMES
BRANDING AFTER MY HELP REBRANDING
EXPERT COMPETITIVE REVIEW
BUYER PERSONA
LEARNER PERSONA
BUYER USER FLOW
SWOT ANALYSIS
LEARNER USER FLOW
CARD SORTING
USABILITY TESTING
COMPANIES THAT TRUST THE APP
WCAG ACCESSIBILITY ISSUES
NEW BRANIDING AFTER MY HELP
GRID SYSTEM & BREAKPOINTS
NEW BRANDING WCAG
OLD BRANDING ACCESSIBILITY ISSUES
WIREFRAMES
BRANDING AFTER MY HELP REBRANDING
EXPERT COMPETITIVE REVIEW
BUYER PERSONA
LEARNER PERSONA
BUYER USER FLOW
SWOT ANALYSIS
LEARNER USER FLOW
CARD SORTING
USABILITY TESTING
COMPANIES THAT TRUST THE APP
WCAG ACCESSIBILITY ISSUES
NEW BRANIDING AFTER MY HELP
GRID SYSTEM & BREAKPOINTS
NEW BRANDING WCAG
OLD BRANDING ACCESSIBILITY ISSUES
WIREFRAMES
BRANDING AFTER MY HELP REBRANDING
EXPERT COMPETITIVE REVIEW
BUYER PERSONA
LEARNER PERSONA
BUYER USER FLOW
SWOT ANALYSIS
LEARNER USER FLOW
CARD SORTING
USABILITY TESTING
COMPANIES THAT TRUST THE APP
WCAG ACCESSIBILITY ISSUES
NEW BRANIDING AFTER MY HELP
GRID SYSTEM & BREAKPOINTS
NEW BRANDING WCAG
THE SOLUTION: THE ACTIONABLE LESSON DASHBOARD
I designed a clean, intuitive Actionable Lesson Dashboard prioritizing fast learning and instant practice. Key features included:
THE SOLUTION: THE ACTIONABLE LESSON DASHBOARD
Swipe-Based Content Delivery: Mimicking social media feeds to lower cognitive load. Progress Visualization: Simple, motivating progress bars tied to specific growth outcomes (e.g., "Monetization Ready"). Native Feedback Loops: Built-in mechanisms to capture qualitative feedback after every lesson, steering the next development sprint. The solution guaranteed the fastest path to product-market fit.
THE IMPACT: Rapid Validation and High Engagement (Metric Blurbs)
THE SOLUTION: THE ACTIONABLE LESSON DASHBOARD
Time to Market: Successfully launched the core MVP features within 4 months, meeting the rapid market testing objective. Feature Validation: Identified the top 3 most valuable features (e.g., "Hashtag Strategy Tool") for the next phase of development, validating the core scope. User Engagement (DAU/MAU): Achieved a high user retention rate with a Daily Active User (DAU) to Monthly Active User (MAU) ratio of 30%, demonstrating strong engagement with the content structure. Content Consumption: Average time spent per learning unit was 1.5 minutes, confirming the success of the "Atomic Learning" strategy for mobile consumption.
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
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
AR ZONE USER TESTING
AR ZONE USER TESTING
AR ZONE TESTING
WIZARD OF OZ (USER TESTING)
T-STONE DEVICE
T-STONE DEVICE PARTS
AR ZONE USER TESTING
AR ZONE USER TESTING
AR ZONE TESTING
WIZARD OF OZ (USER TESTING)
T-STONE DEVICE
T-STONE DEVICE PARTS
AR ZONE USER TESTING
AR ZONE USER TESTING
AR ZONE TESTING
WIZARD OF OZ (USER TESTING)
T-STONE DEVICE
T-STONE DEVICE PARTS
T-STONE DEVICE
T-STONE DEVICE PARTS
GRYROSCOPIC EFFECT SPINNER
AR ZONE USER TESTING
AR ZONE USER TESTING
AR ZONE TESTING
WIZARD OF OZ (USER TESTING)
T-STONE DEVICE
T-STONE DEVICE PARTS
GRYROSCOPIC EFFECT SPINNER
AR ZONE USER TESTING
AR ZONE USER TESTING
AR ZONE TESTING
WIZARD OF OZ (USER TESTING)
T-STONE DEVICE
T-STONE DEVICE PARTS
GRYROSCOPIC EFFECT SPINNER
AR ZONE USER TESTING
AR ZONE USER TESTING
AR ZONE TESTING
WIZARD OF OZ (USER TESTING)
Course Catalog
Splash Screen
Course Modules List
AI Chat
THE CHALLENGE: FEATURE CREEP AND CONTENT OVERLOAD
The key challenge was balancing high user expectations with the constraints of an MVP (Minimum Viable Product). The influencer market demanded rapid, mobile-native learning, but the risk was feature creep and content overload, which would dilute the core value proposition and delay market validation. We needed to distill complex platform growth strategies into digestible, actionable content delivered seamlessly on mobile.
THE STRATEGY: MOBILE-FIRST ATOMIC LEARNING
I implemented a Mobile-First Atomic Learning strategy. This involved breaking down complex courses into minute-long, actionable content units that could be consumed while on the go. The strategy focused on low-friction onboarding and immediate delivery of perceived value. We leveraged usage data and heatmaps to constantly refine content architecture, ensuring the MVP contained only the features that solved the highest-priority pain points for platform growth.
CLIENT
INFLUENCER PRO
Contribution
Mobile-First UX/UI Design
Content Architecture and Information Design
Rapid A/B Testing and User Feedback Loop Creation
MVP Definition and Scope Management
objective
Create a mobile-only MVP for an e-learning app that empowers influencers to grow their platforms. The app should have a core set of features to quickly test market demand and gather user feedback.
role
CLIENT
INFLUENCER PRO
Contribution
Mobile-First UX/UI Design
Content Architecture and Information Design
Rapid A/B Testing and User Feedback Loop Creation
MVP Definition and Scope Management
objective
Create a mobile-only MVP for an e-learning app that empowers influencers to grow their platforms. The app should have a core set of features to quickly test market demand and gather user feedback.
role
RESEARCH METHODS
USER TESTING
INSIGHTS
ROUND 2: USER TESTING
USABILITY TESTING
RESEARCH METHODS
USER TESTING
INSIGHTS
ROUND 2: USER TESTING
USABILITY TESTING
RESEARCH METHODS
USER TESTING
INSIGHTS
ROUND 2: USER TESTING
USABILITY TESTING
PRIMARY RESEARCH
AFFINITY MAP
IMMERSIVE EXPERIENCE CONCEPT
PROCESSING PRIMARY RESEARCH
TARGET GROUP
PAIN POINTS
KWLAQ
PERSONA & STORYBOARD
IDEATION
IDEATION
IMMERSIVE EXPERIENCE
PRIMARY RESEARCH
AFFINITY MAP
IMMERSIVE EXPERIENCE CONCEPT
PROCESSING PRIMARY RESEARCH
TARGET GROUP
PAIN POINTS
KWLAQ
PERSONA & STORYBOARD
IDEATION
IDEATION
IMMERSIVE EXPERIENCE
PRIMARY RESEARCH
AFFINITY MAP
IMMERSIVE EXPERIENCE CONCEPT
PROCESSING PRIMARY RESEARCH
TARGET GROUP
PAIN POINTS
KWLAQ
PERSONA & STORYBOARD
IDEATION
IDEATION
IMMERSIVE EXPERIENCE
PRIMARY RESEARCH
AFFINITY MAP
AEIOU, PERSONA & USER JOURNEY
KWLAQ
PERSONA & STORYBOARD
IDEATION
IDEATION
PRIMARY RESEARCH
AFFINITY MAP
AEIOU, PERSONA & USER JOURNEY
KWLAQ
PERSONA & STORYBOARD
IDEATION
IDEATION
PRIMARY RESEARCH
AFFINITY MAP
AEIOU, PERSONA & USER JOURNEY
KWLAQ
PERSONA & STORYBOARD
IDEATION
IDEATION
PRIMARY RESEARCH
AFFINITY MAP
AEIOU, PERSONA & USER JOURNEY
KWLAQ
PERSONA & STORYBOARD
IDEATION
IDEATION
PRIMARY RESEARCH
AFFINITY MAP
AEIOU, PERSONA & USER JOURNEY
KWLAQ
PERSONA & STORYBOARD
IDEATION
IDEATION
PRIMARY RESEARCH
AFFINITY MAP
AEIOU, PERSONA & USER JOURNEY
KWLAQ
PERSONA & STORYBOARD
IDEATION
IDEATION
PRIMARY RESEARCH
AFFINITY MAP
AEIOU, PERSONA & USER JOURNEY
KWLAQ
PERSONA & STORYBOARD
IDEATION
IDEATION
PRIMARY RESEARCH
AFFINITY MAP
AEIOU, PERSONA & USER JOURNEY
KWLAQ
PERSONA & STORYBOARD
IDEATION
IDEATION
PRIMARY RESEARCH
AFFINITY MAP
AEIOU, PERSONA & USER JOURNEY
KWLAQ
PERSONA & STORYBOARD
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 IMAGERY VS CUSTOMER PREFERENCE IMAGERY
SCS BEFORE OUR HELP (PRICE-DRIVEN)
SCS AFTER OUR HELP (EMOTIONAL)
WIREFRAMES
REOCURRING THEMES
INSIGHTS
USABIILITY TESTING
RESEARCH METHODS
OLD IMAGERY VS CUSTOMER PREFERENCE IMAGERY
SCS BEFORE OUR HELP (PRICE-DRIVEN)
SCS AFTER OUR HELP (EMOTIONAL)
WIREFRAMES
REOCURRING THEMES
INSIGHTS
USABIILITY TESTING
RESEARCH METHODS
OLD IMAGERY VS CUSTOMER PREFERENCE IMAGERY
SCS BEFORE OUR HELP (PRICE-DRIVEN)
SCS AFTER OUR HELP (EMOTIONAL)
WIREFRAMES
REOCURRING THEMES
INSIGHTS
USABIILITY TESTING
RESEARCH METHODS
INSIGHTS
USABIILITY TESTING
RESEARCH METHODS
PRIMARY RESEARCH ROUND 2
INSIGHTS
USABIILITY TESTING
RESEARCH METHODS
PRIMARY RESEARCH ROUND 2
INSIGHTS
USABIILITY TESTING
RESEARCH METHODS
PRIMARY RESEARCH ROUND 2
INSIGHTS
USABIILITY TESTING
RESEARCH METHODS
PRIMARY RESEARCH ROUND 2
INSIGHTS
USABIILITY TESTING
RESEARCH METHODS
PRIMARY RESEARCH ROUND 2
INSIGHTS
USABIILITY TESTING
RESEARCH METHODS
PRIMARY RESEARCH ROUND 2
INSIGHTS
USABIILITY TESTING
RESEARCH METHODS
PRIMARY RESEARCH ROUND 2
INSIGHTS
USABIILITY TESTING
RESEARCH METHODS
PRIMARY RESEARCH ROUND 2
INSIGHTS
USABIILITY TESTING
RESEARCH METHODS
PRIMARY RESEARCH ROUND 2
INSIGHTS
USABIILITY TESTING
RESEARCH METHODS
PRIMARY RESEARCH ROUND 2
INSIGHTS
USABIILITY TESTING
RESEARCH METHODS
PRIMARY RESEARCH ROUND 2
INSIGHTS
USABIILITY TESTING
RESEARCH METHODS
PRIMARY RESEARCH ROUND 2
INSIGHTS
USABIILITY TESTING
RESEARCH METHODS
PRIMARY RESEARCH ROUND 2
INSIGHTS
USABIILITY TESTING
RESEARCH METHODS
PRIMARY RESEARCH ROUND 2
INSIGHTS
USABIILITY TESTING
RESEARCH METHODS
PRIMARY RESEARCH ROUND 2
INSIGHTS
USABIILITY TESTING
RESEARCH METHODS
PRIMARY RESEARCH ROUND 2
INSIGHTS
USABIILITY TESTING
RESEARCH METHODS
PRIMARY RESEARCH ROUND 2
INSIGHTS
USABIILITY TESTING
RESEARCH METHODS
PRIMARY RESEARCH ROUND 2
RESEARCH METHODS
ROUND 2: USER TESTING
PRIMARY RESEARCH
INSIGHTS
RESEARCH METHODS
ROUND 2: USER TESTING
PRIMARY RESEARCH
INSIGHTS
RESEARCH METHODS
ROUND 2: USER TESTING
PRIMARY RESEARCH
INSIGHTS
RESEARCH METHODS
ROUND 2: USER TESTING
PRIMARY RESEARCH
INSIGHTS
RESEARCH METHODS
ROUND 2: USER TESTING
PRIMARY RESEARCH
INSIGHTS
RESEARCH METHODS
ROUND 2: USER TESTING
PRIMARY RESEARCH
INSIGHTS
RESEARCH METHODS
ROUND 2: USER TESTING
PRIMARY RESEARCH
INSIGHTS
RESEARCH METHODS
ROUND 2: USER TESTING
PRIMARY RESEARCH
INSIGHTS
RESEARCH METHODS
ROUND 2: USER TESTING
PRIMARY RESEARCH
INSIGHTS
RESEARCH METHODS
ROUND 2: USER TESTING
PRIMARY RESEARCH
INSIGHTS
RESEARCH METHODS
ROUND 2: USER TESTING
PRIMARY RESEARCH
INSIGHTS
RESEARCH METHODS
ROUND 2: USER TESTING
PRIMARY RESEARCH
INSIGHTS
RESEARCH METHODS
ROUND 2: USER TESTING
PRIMARY RESEARCH
INSIGHTS
RESEARCH METHODS
ROUND 2: USER TESTING
PRIMARY RESEARCH
INSIGHTS
RESEARCH METHODS
ROUND 2: USER TESTING
PRIMARY RESEARCH
INSIGHTS
RESEARCH METHODS
ROUND 2: USER TESTING
PRIMARY RESEARCH
INSIGHTS
RESEARCH METHODS
ROUND 2: USER TESTING
PRIMARY RESEARCH
INSIGHTS
RESEARCH METHODS
ROUND 2: USER TESTING
PRIMARY RESEARCH
INSIGHTS
RESEARCH METHODS
ROUND 2: USER TESTING
PRIMARY RESEARCH
INSIGHTS
RESEARCH METHODS
ROUND 2: USER TESTING
PRIMARY RESEARCH
INSIGHTS
RESEARCH METHODS
ROUND 2: USER TESTING
PRIMARY RESEARCH
INSIGHTS
RESEARCH METHODS
ROUND 2: USER TESTING
PRIMARY RESEARCH
INSIGHTS
RESEARCH METHODS
ROUND 2: USER TESTING
PRIMARY RESEARCH
INSIGHTS
RESEARCH METHODS
ROUND 2: USER TESTING
PRIMARY RESEARCH
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
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
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
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
OLD IMAGERY VS CUSTOMER PREFERENCE IMAGERY
SCS BEFORE OUR HELP (PRICE-DRIVEN)
SCS AFTER OUR HELP (EMOTIONAL)
WIREFRAMES
REOCURRING THEMES
INSIGHTS
USABIILITY TESTING
RESEARCH METHODS
OLD IMAGERY VS CUSTOMER PREFERENCE IMAGERY
SCS BEFORE OUR HELP (PRICE-DRIVEN)
SCS AFTER OUR HELP (EMOTIONAL)
WIREFRAMES
REOCURRING THEMES
INSIGHTS
USABIILITY TESTING
RESEARCH METHODS
OLD IMAGERY VS CUSTOMER PREFERENCE IMAGERY
SCS BEFORE OUR HELP (PRICE-DRIVEN)
SCS AFTER OUR HELP (EMOTIONAL)
WIREFRAMES
REOCURRING THEMES
INSIGHTS
USABIILITY TESTING
RESEARCH METHODS
top insights
THE STRATEGY: MOBILE-FIRST ATOMIC LEARNING
THE STRATEGY: MOBILE-FIRST ATOMIC LEARNING
THE STRATEGY: MOBILE-FIRST ATOMIC LEARNING
I implemented a Mobile-First Atomic Learning strategy. This involved breaking down complex courses into minute-long, actionable content units that could be consumed while on the go. The strategy focused on low-friction onboarding and immediate delivery of perceived value. We leveraged usage data and heatmaps to constantly refine content architecture, ensuring the MVP contained only the features that solved the highest-priority pain points for platform growth.
TOP CHALLENGES
THE SOLUTION: THE ACTIONABLE LESSON DASHBOARD
THE SOLUTION: THE ACTIONABLE LESSON DASHBOARD
THE SOLUTION: THE ACTIONABLE LESSON DASHBOARD
THE SOLUTION: THE ACTIONABLE LESSON DASHBOARD
I designed a clean, intuitive Actionable Lesson Dashboard prioritizing fast learning and instant practice. Key features included:
I designed a clean, intuitive Actionable Lesson Dashboard prioritizing fast learning and instant practice. Key features included:
I designed a clean, intuitive Actionable Lesson Dashboard prioritizing fast learning and instant practice. Key features included:
Swipe-Based Content Delivery: Mimicking social media feeds to lower cognitive load. Progress Visualization: Simple, motivating progress bars tied to specific growth outcomes (e.g., "Monetization Ready"). Native Feedback Loops: Built-in mechanisms to capture qualitative feedback after every lesson, steering the next development sprint. The solution guaranteed the fastest path to product-market fit.
SOLUTIONS
THE IMPACT: Rapid Validation and High Engagement (Metric Blurbs)
THE IMPACT: Rapid Validation and High Engagement (Metric Blurbs)
THE IMPACT: Rapid Validation and High Engagement (Metric Blurbs)
Time to Market: Successfully launched the core MVP features within 4 months, meeting the rapid market testing objective. Feature Validation: Identified the top 3 most valuable features (e.g., "Hashtag Strategy Tool") for the next phase of development, validating the core scope. User Engagement (DAU/MAU): Achieved a high user retention rate with a Daily Active User (DAU) to Monthly Active User (MAU) ratio of 30%, demonstrating strong engagement with the content structure. Content Consumption: Average time spent per learning unit was 1.5 minutes, confirming the success of the "Atomic Learning" strategy for mobile consumption.
Course Catalog
Course Modules List
Splash Screen
AI Chat
AR ZONE USER TESTING
AR ZONE USER TESTING
AR ZONE TESTING
WIZARD OF OZ (USER TESTING)
T-STONE DEVICE
T-STONE DEVICE PARTS
T-STONES
AR ZONE USER TESTING
AR ZONE USER TESTING
AR ZONE TESTING
WIZARD OF OZ (USER TESTING)
T-STONE DEVICE
T-STONE DEVICE PARTS
T-STONES
AR ZONE USER TESTING
AR ZONE USER TESTING
AR ZONE TESTING
WIZARD OF OZ (USER TESTING)
T-STONE DEVICE
T-STONE DEVICE PARTS
T-STONES
T-STONE DEVICE
T-STONE DEVICE PARTS
GYROSCOPIC EFFECT SPINNER
AR ZONE USER TESTING
AR ZONE USER TESTING
AR ZONE TESTING
WIZARD OF OZ (USER TESTING)
T-STONE DEVICE
T-STONE DEVICE PARTS
GYROSCOPIC EFFECT SPINNER
AR ZONE USER TESTING
AR ZONE USER TESTING
AR ZONE TESTING
WIZARD OF OZ (USER TESTING)
T-STONE DEVICE
T-STONE DEVICE PARTS
GYROSCOPIC EFFECT SPINNER
AR ZONE USER TESTING
AR ZONE USER TESTING
AR ZONE TESTING
WIZARD OF OZ (USER TESTING)
T-STONE DEVICE
T-STONE DEVICE PARTS
GYROSCOPIC EFFECT SPINNER
AR ZONE USER TESTING
AR ZONE USER TESTING
AR ZONE TESTING
WIZARD OF OZ (USER TESTING)
T-STONE DEVICE
T-STONE DEVICE PARTS
GYROSCOPIC EFFECT SPINNER
AR ZONE USER TESTING
AR ZONE USER TESTING
AR ZONE TESTING
WIZARD OF OZ (USER TESTING)
T-STONE DEVICE
T-STONE DEVICE PARTS
GYROSCOPIC EFFECT SPINNER
AR ZONE USER TESTING
AR ZONE USER TESTING
AR ZONE TESTING
WIZARD OF OZ (USER TESTING)
T-STONE DEVICE
T-STONE DEVICE PARTS
GYROSCOPIC EFFECT SPINNER
AR ZONE USER TESTING
AR ZONE USER TESTING
AR ZONE TESTING
WIZARD OF OZ (USER TESTING)
T-STONE DEVICE
T-STONE DEVICE PARTS
GYROSCOPIC EFFECT SPINNER
AR ZONE USER TESTING
AR ZONE USER TESTING
AR ZONE TESTING
WIZARD OF OZ (USER TESTING)
T-STONE DEVICE
T-STONE DEVICE PARTS
GYROSCOPIC EFFECT SPINNER
AR ZONE USER TESTING
AR ZONE USER TESTING
AR ZONE TESTING
WIZARD OF OZ (USER TESTING)
tHE bRIEF
Objective
Objective
Objective
Create a mobile-only MVP for an e-learning app that empowers influencers to grow their platforms. The app should have 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.
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
THE CHALLENGE: FEATURE CREEP AND CONTENT OVERLOAD
THE CHALLENGE: FEATURE CREEP AND CONTENT OVERLOAD
THE CHALLENGE: FEATURE CREEP AND CONTENT OVERLOAD
THE CHALLENGE: FEATURE CREEP AND CONTENT OVERLOAD
The key challenge was balancing high user expectations with the constraints of an MVP (Minimum Viable Product). The influencer market demanded rapid, mobile-native learning, but the risk was feature creep and content overload, which would dilute the core value proposition and delay market validation. We needed to distill complex platform growth strategies into digestible, actionable content delivered seamlessly on mobile.
The key challenge was balancing high user expectations with the constraints of an MVP (Minimum Viable Product). The influencer market demanded rapid, mobile-native learning, but the risk was feature creep and content overload, which would dilute the core value proposition and delay market validation. We needed to distill complex platform growth strategies into digestible, actionable content delivered seamlessly on mobile.
The key challenge was balancing high user expectations with the constraints of an MVP (Minimum Viable Product). The influencer market demanded rapid, mobile-native learning, but the risk was feature creep and content overload, which would dilute the core value proposition and delay market validation. We needed to distill complex platform growth strategies into digestible, actionable content delivered seamlessly on mobile.