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.

System Flow Diagram

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.

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

Role

AI Product Designer - I worked on PRD, to visual designs to system design flows to code a workable website (including supabase integration for user authorization) via AI tool called Lovable.

Tools used

ChatGPT, Claude, Lovable, Supabase, Github, Figma, and FigJam

Duration

1-week concept sprint

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

ChatGPT/ Claude

Strategy & Ideation

Claude/ FigmaJam

User Flow & System Architecture, wireframing

Lovable

Design, prototyping, and development

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

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

The dashboard page lacked clarity and provided no clear guidance on next steps, leaving users unsure of how to act on feedback.

After

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 credits 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.

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.

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

Tools used