← All workAITOU / FOUNDING PRODUCT DESIGNER0 → 1 PRODUCT

AITOU · AI-POWERED JOB DECISIONS

A clearer signal.
A confident next step.

Helping international candidates
navigate the job search
with AI, data, and trust.

DISCOVER → VALIDATE → PREPAREBUILT AROUND THE NEXT DECISION ↗
Original AiTou dashboard and LinkedIn extension interfaces
FROM FRAGMENTED DATATo a clearer
way forward.
SPONSORSHIP SIGNALS.
HUMAN DECISIONS.
Explore the experience ↓

An AI-powered job decision platform for H1B & OPT candidates.

From the first promising role to the next interview, AiTou brings decision-critical information into the moments that matter.

MY ROLE

Founding Product Designer, Product Manager

TEAM

1 Designer, 3 Engineers

TOOLS

Figma, ChatGPT

DURATION

~5 Months, from scratch to launch

REPORTED PROJECT IMPACT

2,000+

Daily active users

2M+

Job posts analyzed

30,000+

Companies in the USCIS dataset

00 / THE CHALLENGE

A job search with more at stake.

International job seekers make high-stakes decisions during their job search.

Unlike domestic candidates, H1B and OPT applicants must evaluate sponsorship likelihood, company history, and visa risk — often without reliable or complete information.

Critical signals are scattered across government datasets, job boards, and community sources, turning job decisions into a slow, stressful, and error-prone process.

THE DESIGN QUESTION

How might we help international candidates make confident, informed job decisions in an environment defined by uncertainty and information asymmetry?

01

Confidence over guesswork.

Help international job seekers make more confident, informed job decisions by reducing uncertainty around sponsorship, company history, and visa risk.

02

Less research. More focus.

Improve job search efficiency by surfacing decision-critical signals at the right moment in the workflow, reducing time spent on manual research across fragmented sources.

03

A reason to come back.

Drive sustained product usage during active job search periods by becoming a trusted decision-support tool rather than a one-time lookup utility.

What we set out to test +

Clearly surfacing sponsorship likelihood and company history will increase candidate confidence and repeat usage.

Synthesizing fragmented data into decision-ready insights will reduce research time and accelerate action.

Context-aware interview preparation will increase perceived value and sustained engagement throughout the job search.

01 / CHROME EXTENSION

The right signal. Right where you look.

LESS GUESSWORK.
MORE DIRECTION.

A Chrome extension that surfaces visa sponsorship signals directly in LinkedIn job listings.

International candidates often spend hours researching whether a role is eligible for H-1B or OPT sponsorship.

By bringing verified sponsorship signals directly into the job discovery flow, the extension helps users quickly filter out non-viable roles and focus their time on opportunities that matter.

Powered by USCIS data across 30,000+ companies.

Original Chrome extension walkthrough

For candidates: simpler is better.

The goal is to develop a tool that simplifies and enhances the job-hunting process for international candidates, making it easier for them to secure meaningful employment and advance in their careers.

For international job seekers, job searching isn’t just about finding roles — it’s about managing risk.

We began by considering what matters most to our users during their job search.

The answer is 'Visa Sponsorship'.

For the business: a new entry point.

AiTou already has an established brand as a job-seeking and referral platform. However, due to the significant layoffs in the tech industry, fewer people are using the referral program. We aim to create an entry point to attract new users and expand our user base.

We aim to identify job seekers' pain points and provide solutions with a minimal learning curve.

Quickly accumulate users and direct them to our main domain.

New users can discover existing features on our website, driving business expansion.

AT HOME IN THE WORKFLOW

Same signal. Any mode.

Original extension UI · sponsorship signals inside LinkedIn

Verified sponsorship badges appear directly in LinkedIn job listings, helping candidates quickly decide which roles are worth applying to.

To preserve a seamless browsing experience, the extension matches LinkedIn’s native UI and typography.

Supports LinkedIn’s dark mode for a more comfortable job search experience.

The original missing-data entry point

A FEEDBACK LOOP, NOT A DEAD END

Missing data?
Keep the conversation open.

When no sponsorship data is available, users can report inaccuracies directly from the job listing. This ensures candidates are never blocked by missing information.

User feedback becomes part of the data loop, improving accuracy while keeping maintenance scalable.

EXPLORE THE FEEDBACK FLOW

Something looks off?

Which information would you like us to review?

Information to review

Case-study demo — no report is sent.

Explain the signal, in context.

Inline tooltips clarify critical sponsorship signals at the moment of discovery, helping users quickly assess eligibility without leaving the job listing.

Data sources are clearly attributed to USCIS, reinforcing trust and confidence in every decision.

Original sponsorship tooltip walkthrough

02 / DASHBOARD

Turn information into confidence.

FOLLOW THE SIGNAL.
SEE THE BIGGER PICTURE.

A personalized dashboard that surfaces relevant, newly posted roles as soon as they appear.

Timing matters in a competitive job market.

The dashboard highlights new opportunities based on user preferences, helping candidates act quickly and focus on roles that matter most.

Personalized job dashboard
Behind the design: information architecture +
Original information architecture

From signal to confidence.

When a role passes the initial filter, users can click directly into a detailed view of the company’s sponsorship history.

This allows candidates to validate signals, understand patterns, and decide whether a role is worth pursuing further.

READ THE EVIDENCE

One company. Three ways to look closer.

Click a card to explore ↘
Original company sponsorship data: annual volume, approval trends, and role search

Explore sponsoring companies.

Users can dive deeper into company-level sponsorship data to validate and compare opportunities.

Company directory and sponsorship filters

03 / AI TOOLS

From intent to the next opportunity.

LESS FRICTION.
MORE FORWARD.

FROM ROLE TO READY

Turn intent into applications.

Repetitive writing can turn a promising role into a stalled application. Bring the role, the resume, and the first draft into one focused flow.

ORIGINAL PRODUCT UI
Original AiTou cover-letter generator sidebar, unchanged from the original design

01 · Required experience and skills

01 / 03

Original interface detail · highlights added for this case study

Practice with a purpose.

Interview preparation is often unstructured — users don’t know what to practice, how to improve, or whether they’re making progress.

By adapting to each user’s role and performance, the interview assistant delivers targeted questions and feedback at the right time, helping users practice with clarity and purpose.

Original AI interview practice walkthrough

Feedback you can act on.

Instead of generic AI chat, the Interview Report focuses on what actually went wrong — and what to improve next.

Performance is broken down into clear signals such as communication clarity, structure, and word choice, allowing users to spot patterns, track progress, and improve with intention over time.

Original interview report

Progress that stays with you.

Interview preparation is rarely linear. Users need visibility into what they’ve completed, where they left off, and what still needs work.

The interview dashboard helps users manage sessions over time, resume unfinished interviews, and build consistent practice habits instead of starting from scratch.

Original interview session dashboard

04 / REFLECTION

Clarity, even under uncertainty.

WHAT I TOOK FORWARD

Design the decision.
Not just the screen.

This project was shaped by real constraints, a competitive job market, limited resources, and high-stakes user decisions.

Working on AITou pushed me to think beyond interface design and focus on end-to-end product problem solving. I broke down complex, ambiguous challenges into smaller, testable decisions, balancing user needs with business realities throughout the process.

With limited resources, I took on responsibilities beyond design, including product scoping, prioritization, and lightweight research. This experience strengthened my ability to operate across product, design, and strategy, and reinforced how much I value building practical solutions that can ship and scale.

WHERE THE PROJECT LANDED

Paused, with lasting lessons.

Although the product was eventually paused due to funding constraints, it successfully supported thousands of users during an especially challenging hiring cycle.

The learnings from AITou continue to shape how I approach product design, focusing on clarity, decision-making, and building systems that remain valuable even under uncertainty.

AITou reinforced how much I value designing systems that help people make better decisions under uncertainty, a principle I continue to carry into every product I build.