Introducing Quant Research Toolbox GPT

Scalable coaching and upskilling for Quant UX Researchers

For the past several years, I’ve been mentoring and coaching both aspiring and practicing Quantitative UX Researchers (Quant UXRs). I’ve also interviewed candidates and served on hiring committees across multiple companies, helping shape evaluation criteria and hiring decisions.

It’s been one of the most rewarding parts of my career to watch people grow from feeling unsure about their quant abilities to confidently framing hypotheses, designing measurement instruments, and communicating clear, grounded insights.

But over time, I realized something important: 1:1 coaching doesn’t scale. I simply don’t have the capacity to support every talented researcher who’s eager to learn, practice, and build quant confidence.

That’s what led me to build Quant Research Toolbox, a personalized GPT-based Quant UXR coach and mentor. It brings the same practical, structured guidance I offer in coaching sessions but available anytime, for anyone and it’s completely free.

Why I built it

Quant UXR is a niche, hybrid discipline. You need to blend analytical rigor with human-centered reasoning. You need to be comfortable with SQL or R/Python, fluent in survey and measurement design, and able to translate data into product impact.

Across my coaching sessions, I kept seeing the same themes:

• Aspiring Quant UXRs unsure which skills matter most when breaking into the role

• Qual or mixed-methods researchers wanting to build quant confidence

• Strong methodologists who struggled to connect insights to product decisions

• Talented researchers intimidated by SQL or programming for data analysis

• People over-indexing on academic resources without getting industry-grounded feedback

I wanted a tool that could simulate learning directly from an experienced Quant UXR with a mix of mentorship, practice, drills, feedback, and structured upskilling.

What it offers

Quant Research Toolbox acts as a full upskilling environment with three main modes:

🧭 1. Coaching & study planning

Start with a coaching-style session to clarify your goals. The tool helps you:

• Diagnose your current strengths and gaps

• Create a 2–4-week personalized study plan

• Get mini-lessons and curated drills (SQL, experiment design, survey measurement, metrics, etc.)

• Track progress and refine the plan as you level up

Example prompt:
“Create a 3-week study plan to strengthen the fundamentals of experiment design.”

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💬 2. Mock interviews

When you’re ready to test yourself, it runs realistic mock interviews inspired by hiring loops at leading tech companies. You can even paste job posts or recruiter notes to personalize the session.

You’ll get rubric-based scoring and feedback across:

• Collaboration & communication

• Product thinking & impact reasoning

• Statistical reasoning & experiment design

• SQL & data analysis

• Survey design & measurement

Each session includes:

• A realistic interview prompt

• Space to think out loud and respond

• Structured feedback (1–5 ratings, strengths, growth areas, improved answers)

• Clear next steps for practice

Example prompt:
“Run a mock interview focused on solving a product problem using quant UX research methods.”

📚 3. Upskilling library

A growing library of mini-lessons, examples, and hands-on exercises across:

• Statistics & causal inference (hypotheses, power, confounders, metrics)

• Experimentation (design, bias control, analysis, stopping rules)

• SQL & data analysis (logic, efficiency, readability, edge cases)

• Survey design & measurement (validity, reliability, bias reduction)

• Product thinking (metric trees, trade-offs, impact storytelling)

Example prompt:
“Give me a mini-lesson on survey reliability with three practice items to rewrite.”

How it works

When you start a new session, the tool greets you with something like:

“Let’s plan your upskilling. I’ll assess your goals, propose a short study plan, and give you targeted drills plus a mini-lesson to get started.”

From there, it:

• Assesses your goals and current level

• Guides you through lessons and drills with examples, practice, and feedback

• Tracks your progress across sessions

• Updates your plan as you improve

The goal is to balance rigor with practicality while helping you learn deeply and confidently, at your own pace.

Who it’s for

Quant Research Toolbox is designed for:

🎓 Aspiring Quant UXRs preparing for their first role
🔄 Qual or mixed-methods researchers building quant fluency
📊 Researchers transitioning from academia or data science
🧑‍🏫 Mentors, coaches, and hiring managers who want structured prompts and exercises

Whether you’re interviewing, upskilling, or expanding your toolkit, the Toolbox helps you practice, reflect, and grow with realistic examples and expert-level structure.

I hope this helps you grow the same way my 1:1 mentees have through curiosity, confidence, and clarity. Feel free to share it with friends or colleagues who would benefit from it. And if you try it, I’d love to hear your feedback.