PersonaLab
PersonaLab
Product Designers, UX Researchers and product managers waste weeks waiting for user feedback, often testing with limited demographics that miss critical usability issues. And often companies do not have budget to invest in user testing as well, so this is time, money and effort saver all in one.
Product Designers, UX Researchers and product managers waste weeks waiting for user feedback, often testing with limited demographics that miss critical usability issues. And often companies do not have budget to invest in user testing as well, so this is time, money and effort saver all in one.
Product Designers, UX Researchers and product managers waste weeks waiting for user feedback, often testing with limited demographics that miss critical usability issues. And often companies do not have budget to invest in user testing as well, so this is time, money and effort saver all in one.
System Flow Diagram
Imagine,
Imagine,
being able to test your design the moment inspiration strikes—no waiting weeks for feedback, no struggling to find the “right” users, no burning budget on slow, biased research.
being able to test your design the moment inspiration strikes—no waiting weeks for feedback, no struggling to find the “right” users, no burning budget on slow, biased research.
So,
So,
I conceptualized and built PersonaLab - a platform that generates diverse AI personas to instantly test Figma prototypes, delivering actionable insights across multiple user demographics without recruiting real users
I conceptualized and built PersonaLab - a platform that generates diverse AI personas to instantly test Figma prototypes, delivering actionable insights across multiple user demographics without recruiting real users
Role
AI Product Designer - I worked on PRD, to visual designs to system design flows to code a workable website (including user authorization tool called Supabase) via AI tool called Lovable.
AI Product Designer - I worked on PRD, to visual designs to system design flows to code a workable website (including user authorization tool called Supabase) via AI tool called Lovable.
Tools used
ChatGPT, Claude, Lovable, Supabase, Github, Figma, and FigJam
ChatGPT, Claude, Lovable, Supabase, Github, Figma, and FigJam
Duration
1-week concept sprint
1-week concept sprint
Estimate Impact Created
Estimate Impact Created
Estimate Impact Created
Testing time setup
80%
Reduction in testing time
Testing with
3 to 5
Diverse AI persona with specific industry
Estimate Savings of
$15k
in traditional user recruitment costs
My AI Toolkit Journey
My AI Toolkit Journey
1
1
ChatGPT/ Claude
Strategy & Ideation
Strategy & Ideation
2
Claude/ FigmaJam
User Flow & System Architecture, wireframing
User Flow & System Architecture, wireframing
3
Lovable
Design, prototyping, and development
Strategy & Ideation
Strategy & Ideation
• Developed the core product concept and problem validation
• Created comprehensive PRD with user stories and technical requirements
• Defined MVP features and future roadmap
• Developed the core product concept and problem validation
• Created comprehensive PRD with user stories and technical requirements
• Defined MVP features and future roadmap
• Developed the core product concept and problem validation
• Created comprehensive PRD with user stories and technical requirements
• Defined MVP features and future roadmap
See Full PRD
System Design Diagram
System Design
Diagram
• Flow overview : Upload Figma prototype → AI personas interact → Get feedback in under 30 seconds
• Focus on generating 3-5 diverse user types that behave like real people from different demographics and industries
• Goals was scalability as well- to support both solo designers and enterprise at the same performance level
• Flow overview : Upload Figma prototype → AI personas interact → Get feedback in under 30 seconds
• Focus on generating 3-5 diverse user types that behave like real people from different demographics and industries
• Goals was scalability as well- to support both solo designers and enterprise at the same performance level
• Flow overview : Upload Figma prototype → AI personas interact → Get feedback in under 30 seconds
• Focus on generating 3-5 diverse user types that behave like real people from different demographics and industries
• Goals was scalability as well- to support both solo designers and enterprise at the same performance level
See Complete Flow
Challenges & Iterations
Challenges & Iterations
I focused on restructuring information hierarchy, defining critical user flows, and aligning product requirements with actionable outcomes. Iterations centered on simplifying decision-making, reducing cognitive load, and ensuring the interface guided users toward measurable progress.
I focused on restructuring information hierarchy, defining critical user flows, and aligning product requirements with actionable outcomes. Iterations centered on simplifying decision-making, reducing cognitive load, and ensuring the interface guided users toward measurable progress.
Challenges & Iterations
I focused on restructuring information hierarchy, defining critical user flows, and aligning product requirements with actionable outcomes. Iterations centered on simplifying decision-making, reducing cognitive load, and ensuring the interface guided users toward measurable progress.
Before
Before
The dashboard page lacked clarity and provided no clear guidance on next steps, leaving users unsure of how to act on feedback.
The dashboard page lacked clarity and provided no clear guidance on next steps, leaving users unsure of how to act on feedback.
After
After
Redesigned the dashboard to highlight actionable insights upfront, prioritize urgent improvements, and helping users instantly understand progress and what to do next.
Redesigned the dashboard to highlight actionable insights upfront, prioritize urgent improvements, and helping users instantly understand progress and what to do next.
Lessons Learned
Lessons
Learned
Users don’t want all the data—they want to know what to do next.
It’s better to ship an imperfect solution, learn, and refine than to over-polish in isolation- I wasted a lot of time, effort and money in building fast than refining PRD
Using AI to simulate user personas taught me how AI can actively shape UX research and reduce dependencies on traditional, costly processes.
Users don’t want all the data—they want to know what to do next.
It’s better to ship an imperfect solution, learn, and refine than to over-polish in isolation- I wasted a lot of time, effort and money in building fast than refining PRD
Using AI to simulate user personas taught me how AI can actively shape UX research and reduce dependencies on traditional, costly processes.
