FutureFit AI Homepage Re-Design
Turning the Homepage into a Personalized Journey, Not Just a Landing Page
Overview
Overview
FutureFit AI helps individuals navigate their career growth through personalized job, learning, and skill recommendations. But our original homepage wasn’t delivering that value upfront. Users landed, hesitated, and left — often before discovering anything relevant to them.
As the Senior Product Designer leading this redesign, I reframed the homepage as a personalized discovery engine rather than a static landing page. My goal was to create a space that immediately showed users something meaningful, reduced ambiguity, and encouraged them to explore further.
By aligning with Product, Data, and Engineering, I redesigned the experience to guide users toward opportunities faster — transforming the homepage into a high-impact entry point that deepened engagement from the very first session.
FutureFit AI helps individuals navigate their career growth through personalized job, learning, and skill recommendations. But our original homepage wasn’t delivering that value upfront. Users landed, hesitated, and left — often before discovering anything relevant to them.
As the Senior Product Designer leading this redesign, I reframed the homepage as a personalized discovery engine rather than a static landing page. My goal was to create a space that immediately showed users something meaningful, reduced ambiguity, and encouraged them to explore further.
By aligning with Product, Data, and Engineering, I redesigned the experience to guide users toward opportunities faster — transforming the homepage into a high-impact entry point that deepened engagement from the very first session.
Role & Details
Role & Details
Senior Product Designer | FutureFit AI
Senior Product Designer | FutureFit AI
User Research, Interaction, Visual Design, Prototyping & Testing
User Research, Interaction, Visual Design, Prototyping & Testing
1 Product Manager, 4 Engineers, 1 Data Analyst & Head of Product
1 Product Manager, 4 Engineers, 1 Data Analyst & Head of Product
Launched in 2025
Launched in 2025
The Problem
The Problem
Why Users Landed — but Rarely Stayed
Why Users Landed — but Rarely Stayed
The existing homepage struggled to meet users’ needs across discovery, navigation, and retention. We needed to deliver relevance faster — helping users discover jobs, learning, and resources aligned with their goals from the moment they arrived.
The existing homepage struggled to meet users’ needs across discovery, navigation, and retention. We needed to deliver relevance faster — helping users discover jobs, learning, and resources aligned with their goals from the moment they arrived.
Discovery & Relevance
Only 3.6% of active users were completing meaningful actions (like saving a job). Recommendations often felt generic and disconnected from user intent.
Wayfinding
Navigation was unintuitive. On average, users spent over two minutes trying to locate relevant content — a high cognitive load for something that should feel effortless.
Retention
With only 41% of active users returning after one month, the homepage wasn’t providing enough value to draw them back.
User Research
User Research
Researching What Works — So We Could Build What’s Better
Researching What Works — So We Could Build What’s Better
Competitive Audit & Thematic Mapping: I analyzed top platforms to uncover key engagement themes — personalization, global search accessibility, and early data collection for relevance.
Collaborative Workshop: We held a cross-functional session with Product and Data, which I led, to define which user insights would make our recommendations more meaningful.
Competitive Audit & Thematic Mapping: I analyzed top platforms to uncover key engagement themes — personalization, global search accessibility, and early data collection for relevance.
Collaborative Workshop: We held a cross-functional session with Product and Data, which I led, to define which user insights would make our recommendations more meaningful.
Our Approach
Our Approach
Our goal was simple but ambitious: deliver instant value
Our goal was simple but ambitious: deliver instant value
To achieve that, I focused on three key pillars: Smarter Discovery, where I shaped a unified global search that brings together jobs, careers, learning, and resources into one intuitive experience; Personalization with Purpose, using onboarding and profile data to deliver recommendations that feel instantly relevant and grounded in each user’s goals; and Ease and Delight, crafting clean, consistent layouts with thoughtful motion to make every interaction feel effortless across devices.
To achieve that, I focused on three key pillars: Smarter Discovery, where I shaped a unified global search that brings together jobs, careers, learning, and resources into one intuitive experience; Personalization with Purpose, using onboarding and profile data to deliver recommendations that feel instantly relevant and grounded in each user’s goals; and Ease and Delight, crafting clean, consistent layouts with thoughtful motion to make every interaction feel effortless across devices.
Validation & Testing
Validation & Testing
Where Design Decisions Met
Real User Behaviour
Where Design Decisions Met
Real User Behaviour
We conducted unmoderated 20-minute sessions with 28 users through UserFeel, and I focused the testing criteria on time-to-value, discoverability, and engagement. Together, we compared two prototype variations to understand which flow better supported early momentum.
In parallel, I refined the wireframes and we reviewed them with Product, Customer Success, and Leadership — ensuring alignment between user needs and business goals before moving into final design.
Prototype 01
Prototype 01
Generic Recommendations
& Hidden Search
Generic Recommendations
& Hidden Search
Without additional onboarding data, recommendations felt generic and misaligned with user goals. A hidden search bar further
limited discovery.
Without additional onboarding data, recommendations felt generic and misaligned with user goals. A hidden search bar further limited discovery.
Insights
Insights
Search intuitive but not engaging; lacked personalization or incentive to continue
Search intuitive but not engaging; lacked personalization or incentive to continue
Avg. time 2m 38s (save a job) · Task completion 54%
Avg. time 2m 38s (save a job) · Task completion 54%
Prototype 02
Prototype 02
Personalized Recommendations & Visible Search
Personalized Recommendations & Visible Search
Onboarding data powered personalized recommendations, while a visible, prompt-driven search bar guided users to explore with purpose.
Onboarding data powered personalized recommendations, while a visible, prompt-driven search bar guided users to explore with purpose.
Insights
Insights
Users described it as clearer and more relevant, with smoother navigation and stronger motivation to act
Users described it as clearer and more relevant, with smoother navigation and stronger motivation to act
Avg. time 1m 49s (31% faster) · Task completion 74% (+37%) · Satisfaction +26%
Avg. time 1m 49s (31% faster) · Task completion 74% (+37%) · Satisfaction +26%
Design Solutions & Impact
Design Solutions & Impact
Designing for Momentum:
Turning Insight into Action
Designing for Momentum:
Turning Insight into Action
One Search, Every Opportunity
One Search, Every Opportunity
We introduced a global search bar above the fold with intelligent prompts powered by onboarding data. It became the anchor of the homepage — a single entry point to explore jobs, careers, courses, and resources.
We introduced a global search bar above the fold with intelligent prompts powered by onboarding data. It became the anchor of the homepage — a single entry point to explore jobs, careers, courses, and resources.
Impact: Time-to-value improved by 31%. Within the first month of launch, global search became the most-used action on the homepage.
Impact: Time-to-value improved by 31%. Within the first month of launch, global search became the most-used action on the homepage.
Personalization
that Drives Action
Personalization
that Drives Action
I designed personalized recommendation modules powered by onboarding inputs like experience and background. They adapt to browsing patterns and saved items, and are built to scale with future variables such as career goals — ensuring recommendations feel truly personalized rather than generic.
I designed personalized recommendation modules powered by onboarding inputs like experience and background. They adapt to browsing patterns and saved items, and are built to scale with future variables such as career goals — ensuring recommendations feel truly personalized rather than generic.
Impact
Impact
Meaningful actions increased from 3.6% to 24%, and monthly return rates rose from 41% to 63% within six months — surpassing our engagement goals.
Meaningful actions increased from 3.6% to 24%, and monthly return rates rose from 41% to 63% within six months — surpassing our engagement goals.
Meaningful Data,
Meaningful Recommendations
Meaningful Data,
Meaningful Recommendations
We partnered with the Data team to refine onboarding questions for better-quality personalization, and I designed inline feedback prompts (like “Is this job relevant to you?”) to create a living feedback loop that improves future recommendations.
We partnered with the Data team to refine onboarding questions for better-quality personalization, and I designed inline feedback prompts (like “Is this job relevant to you?”) to create a living feedback loop that improves future recommendations.
Impact
Impact
Onboarding completion remained steady at 97%, while perceived recommendation relevance improved significantly, with users describing results as “more helpful than before.”
Onboarding completion remained steady at 97%, while perceived recommendation relevance improved significantly, with users describing results as “more helpful than before.”
A Modern,
Intuitive Interface
A Modern,
Intuitive Interface
I modernized the UI with a cleaner visual hierarchy, simplified navigation, and more spacious layouts. We refined the structure across devices to support mobile-first use cases and reduce friction points in early discovery.
I modernized the UI with a cleaner visual hierarchy, simplified navigation, and more spacious layouts. We refined the structure across devices to support mobile-first use cases and reduce friction points in early discovery.
Impact
Impact
Navigation felt faster and more intuitive, mobile engagement rose by 21%, and feedback highlighted how “the platform finally feels modern and visually appealing.”
Navigation felt faster and more intuitive, mobile engagement rose by 21%, and feedback highlighted how “the platform finally feels modern and visually appealing.”
Reflection
Reflection
What Started as a Homepage Redesign Became a Shift in How Users Feel
What Started as a Homepage Redesign Became a Shift in How Users Feel
This project reinforced that designing for immediacy is designing for trust. By transforming the homepage into a true discovery hub, we helped users find value faster while strengthening engagement through personalization.
Collaborating across Product, Data, and Engineering allowed us to create a system that continuously learns — evolving with user behavior instead of remaining static.
In the end, the redesign didn’t just improve metrics; it redefined how users experience momentum, connection, and purpose the moment they land on FutureFit AI.
This project reinforced that designing for immediacy is designing for trust. By transforming the homepage into a true discovery hub, we helped users find value faster while strengthening engagement through personalization.
Collaborating across Product, Data, and Engineering allowed us to create a system that continuously learns — evolving with user behavior instead of remaining static.
In the end, the redesign didn’t just improve metrics; it redefined how users experience momentum, connection, and purpose the moment they land on FutureFit AI.
What’s next?
Designing for Human Connection
What’s next?
Designing for Human Connection
Our next evolution is integrating Miles, our AI-driven chat assistant. By guiding users through onboarding and personalization conversationally, we’ll make the experience feel more human — turning data collection into a dialogue and relevance into a relationship.
Our next evolution is integrating Miles, our AI-driven chat assistant. By guiding users through onboarding and personalization conversationally, we’ll make the experience feel more human — turning data collection into a dialogue and relevance into a relationship.
FutureFit AI Homepage Re-Design
Turning the Homepage into a Personalized Journey, Not Just a Landing Page
Overview
FutureFit AI helps individuals navigate their career growth through personalized job, learning, and skill recommendations. The homepage is the first touchpoint — a space meant to motivate action and deliver value instantly.
But our original homepage wasn’t doing that. Users often landed, hesitated, and left. Discovery felt disjointed, navigation required too many steps, and recommendations weren’t personalized enough to build trust.
As the Senior Product Designer, I led the redesign to transform the homepage into a personalized discovery hub — one that reduces cognitive load, showcases value instantly, and connects users to meaningful actions faster. The result: a more intuitive, motivating, and data-driven entry point that keeps users exploring and coming back.
Role & Details
Senior Product Designer | FutureFit AI
User Research, Interaction, Visual Design, Prototyping & Testing
1 Product Manager, 4 Engineers, 1 Data Analyst & Head of Product
Launched in 2025
The Problem
Why Users Landed
— but Rarely Stayed
The existing homepage struggled to meet users’ needs across discovery, navigation, and retention. We needed to deliver relevance faster — helping users discover jobs, learning, and resources aligned with their goals from the moment they arrived.
Discovery & Relevance
Only 3.6% of active users were completing meaningful actions (like saving a job). Recommendations often felt generic and disconnected from user intent.
Wayfinding
Navigation was unintuitive. On average, users spent over two minutes trying to locate relevant content — a high cognitive load for something that should feel effortless.
Retention
With only 41% of active users returning after one month, the homepage wasn’t providing enough value to draw them back.
User Research
Researching What Works — So We Could Build What’s Better
Competitive Audit & Thematic Mapping: Analyzed top platforms to uncover key engagement themes — personalization, global search accessibility, and early data collection for relevance.
Collaborative Workshop: Led a session with Product and Data to define which user insights would make our recommendations more meaningful.
Our Approach
Our goal was simple but ambitious: deliver instant value
To achieve that, I focused on three key pillars: Smarter Discovery, where I shaped a unified global search that brings together jobs, careers, learning, and resources into one intuitive experience; Personalization with Purpose, using onboarding and profile data to deliver recommendations that feel instantly relevant and grounded in each user’s goals; and Ease and Delight, crafting clean, consistent layouts with thoughtful motion to make every interaction feel effortless across devices.
Prototype 01
Generic Recommendations
& Hidden Search
Without additional onboarding data, recommendations felt generic and misaligned with user goals. A hidden search bar further limited discovery.
Insights
Search intuitive but not engaging; lacked personalization or incentive to continue
Avg. time 2m 38s (save a job) · Task completion 54%
Prototype 02
Personalized Recommendations
& Visible Search
Onboarding data powered personalized recommendations, while a visible, prompt-driven search bar guided users to explore with purpose.
Insights
Users described it as clearer and more relevant, with smoother navigation and stronger motivation to act
Avg. time 1m 49s (31% faster) · Task completion 74% (+37%) · Satisfaction +26%
Design Solutions & Impact
Designing for Momentum: Turning Insight into Action
Design Solutions & Impact
Designing for Momentum: Turning Insight into Action
One Search, Every Opportunity
We introduced a global search bar above the fold with intelligent prompts powered by onboarding data. It became the anchor of the homepage — a single entry point to explore jobs, careers, courses, and resources.
Impact
Meaningful actions increased from 3.6% to 24%, and monthly return rates rose from 41% to 63% within six months — surpassing our engagement goals.
Meaningful Data,
Meaningful Recommendations
We partnered with the Data team to refine onboarding questions for better-quality personalization, and I designed inline feedback prompts (like “Is this job relevant to you?”) to create a living feedback loop that improves future recommendations.
Impact
Onboarding completion remained steady at 97%, while perceived recommendation relevance improved significantly, with users describing results as “more helpful than before.”
Personalization
that Drives Action
I designed personalized recommendation modules powered by onboarding inputs like experience and background. They adapt to browsing patterns and saved items, and are built to scale with future variables such as career goals — ensuring recommendations feel truly personalized rather than generic.
Impact
Meaningful actions increased from 3.6% to 24%, and monthly return rates rose from 41% to 63% within six months — surpassing our engagement goals.
A Modern,
Intuitive Interface
I modernized the UI with a cleaner visual hierarchy, simplified navigation, and more spacious layouts. We refined the structure across devices to support mobile-first use cases and reduce friction points in early discovery.
Impact
Navigation felt faster and more intuitive, mobile engagement rose by 21%, and feedback highlighted how “the platform finally feels modern and visually appealing.”
Reflection
What Started as a Homepage Redesign Became a Shift in How Users Feel
This project reinforced that designing for immediacy is designing for trust. By transforming the homepage into a true discovery hub, we helped users find value faster while strengthening engagement through personalization.
Collaborating across Product, Data, and Engineering allowed us to create a system that continuously learns — evolving with user behavior instead of remaining static.
In the end, the redesign didn’t just improve metrics; it redefined how users experience momentum, connection, and purpose the moment they land on FutureFit AI.
What’s next?
Designing for Human Connection
Our next evolution is integrating Miles, our AI-driven chat assistant. By guiding users through onboarding and personalization conversationally, we’ll make the experience feel more human — turning data collection into a dialogue and relevance into a relationship.
Validation & Testing
Where Design Decisions Met Real User Behaviour
We conducted unmoderated 20-minute sessions with 28 users through UserFeel, and I focused the testing criteria on time-to-value, discoverability, and engagement. Together, we compared two prototype variations to understand which flow better supported early momentum.
In parallel, I refined the wireframes and we reviewed them with Product, Customer Success, and Leadership — ensuring alignment between user needs and business goals before moving into final design.