Agentic AI

Coding with AI

AI Evals

AI for PMs

AI for Engineers

AI for Designers

AI for Marketers

AI for Founders

Product

User Research

Prototyping

Growth

Strategy

Influence

Leadership

Career Growth

Engineering

Machine Learning

Security

System Design

Design

Figma

Design Systems

Design Strategy

Marketing

Content Marketing

Go-to-Market

Product Marketing

B2B Marketing

AI for Leaders

Communication

Management

Storytelling

Founders

More

Everyone

Operators

Data Scientists

User Researchers

Project Managers

Sales People

Lawyers

Finance

Investors

Real Estate

Cut analysis time in half and uncover more powerful insights—without sacrificing quality or trust in your work.

Ex-Head of UXR, Spotify Business/SYB

Caitlin Sullivan

Ex-Head of User Research, Spotify Business. 2000+ Hours Testing AI for Research.

Cohort 6

Cohort 7

‼️ Revamped 2026 Curriculum + format. Price will go up after March 1st 2026. Includes content updates from 2 future cohorts! Is this you? You’re sitting in front of a mountain of raw feedback—interview transcripts, survey results, and customer messages from multiple sources. Your brain is fried from collecting it all, but the real challenge hasn’t even started yet: turning that pile into clear, actionable insights. Stakeholders are emailing:👋 “Where’s the analysis?”👋 “When can we share this with the team?”👋 "We need to decide about [product change] NOW." -You've been trying to use AI to speed things up, but it gave you results that didn’t feel reliable.- Vague themes, out-of-context quotes, or flat-out fake "user insights."- You have a constant fear that it missed something critical that *you* would have found.- And after all the time spent, you decide to re-do the analysis manually anyway.-I’ve been there, too. 🙋‍♀️If you’ve felt stuck in endless ChatGPT loops, redoing AI’s work, or wondering if there’s a better way—this is for you.With the right knowledge and systems, AI stops being such a gamble and becomes an ally you can trust for faster - and more complete analysis.

2026: AI isn't optional. It's a core tool - and most people haven't mastered it.

Learn AI Analysis Systems That Deliver 2-10x Faster

Gain Speed Without Sacrificing Quality

Develop a Partner for Reducing Risk

Uncover Hidden Opportunities + POVs

Run Efficient Tool Experiments

Get Confident About AI Decisions 

You’re expected to deliver actionable insights for product decisions fast, even when research isn't even your "main" job.

You're a Designer, Researcher or Product person spending hours digging through customer input, searching for insights that matter.

You’ve tried AI tools, but the results feel “meh.” Instead of saving time, they create more work -- and you're back to doing it yourself.

Fresh ways of working, fresh conversations to have with teams, and using AI in accurate, helpful ways.

The Mary Poppins of CX/UX ☂️

The Stepstone Group

Macy's

Arizona State University

Debbie Levitt, MBA, CPIC, ACC

Product, Service, & Experience Strategist, Researcher, Service Designer

AI & Research - Cohort 01

It’s not product-shareholder fit, product-executive fit, product-lowest-budget-fit, or product-deadline fit. It’s also not product-market-good-enough or product-market-we’ll-fix-it-later. In decades of consulting and strategy work, leaders and execs have never asked me to help them fail more or fail faster. They want me to find and solve problems, identify and mitigate risk, make teams more efficient, and make products and services more successful.We waste time and money trying to solve problems we don't understand for target markets we don't understand.Light on slides, heavy on action! 18 hours of live instruction + 4 hours of live Q&amp;A/AMA. Can't make it live or would rather watch videos? All live lessons will be recorded and made available to cohort members.Continued support in our free Discord community.<a target="_blank" rel="noopener noreferrer nofollow" href="https://docs.google.com/document/d/1MeLgmpVvu8xacYDkMiYzMLXAKDws0aNuoux0zPCg1Cc/edit?usp=sharing">View the detailed syllabus/course plan (Google Doc).</a>Great for tech and corporate workers and leaders, startup founders, and freelancers. Definitely for Researchers wanting to add AI thoughtfully to their process.Join this course's next free <a target="_blank" rel="noopener noreferrer nofollow" href="https://atomicpmf.com/lightning">Lightning Lesson</a>!

Practical techniques to improve work quality, efficiency, and strategy.

PMF exists on three levels. You're probably losing customers at the micro level.

Atomic PMF model and process are flexible frameworks that fits every project.

Whether work is done by humans, AI, or both, we have to satisfy customers.

Use AI as a critical thinking partner in the Atomic PMF process.

The course welcomes everybody at every level. New to tech work, a new startup founder, or been doing this for decades? You belong here.

None! No gatekeeping. 😊

You're under pressure to use AI but have no idea where it helps vs. where it sucks. You want to learn practical techniques, not theory.

You're tired of high failure rates and vibe producting. Learn why products fail and how to find (and keep) product-market fit.

You're a PM, Founder, Researcher, Designer, or Strategist drowning in guesses and assumptions. Put "strategy" back in "product strategy."

Learn to build AI agents and workflows—developing judgment for what works, what doesn't, and how to adapt as capabilities evolve.

Schedules alternate by cohort to support multiple time zones. This cohort meets evenings (ET).


March 2026

AI Research Expert | Johns Hopkins PhD

Google

PayPal

Bloomberg

Capital One

John Whalen

Schedules alternate by cohort to support multiple time zones. This cohort meets in the evening (ET).


February 2026

Schedules alternate by cohort to support multiple time zones. This cohort meets afternoons (ET).

April 2026

You've heard about AI agents. Synthetic users. Deep thinking models that can work autonomously for hours. They sound powerful – but what do you actually do with them?These new capabilities – agentic AI that runs complex multi-step processes, synthetic users that scale research impossibly fast, systems that think deeply while you're offline – unlock something fundamentally different. Not faster prompting. True research partners that follow your direction, think through problems, and execute sophisticated workflows without you at the keyboard.This course teaches you to harness these frontier capabilities. You'll create agentic workflows that execute multi-step research processes independently. You'll deploy synthetic users informed by real research data and learn when they're valid versus when human participants are essential. You'll build systems that think for considerable time, following the exact research patterns and rigor you define.Using accessible tools like n8n and Claude Code, you'll move from prompting to orchestrating. No coding background required – but you will learn to work with an IDE, terminal, and automation platforms that unlock AI's full research potential.

Move Beyond Prompting. Harness the Full Power of Agentic AI for Research.

Build AI Agents for Your Research Workflow

Create and Deploy Synthetic Users

Build Custom Agents and Multi-Agent Systems

Overcome the Technical Barrier

Orchestrate End-to-End Research Pipelines

Lead Advanced AI Research Initiatives

While not strictly required, Course 1 provides a strong foundation. You should be experienced with prompting AI and evaluating AI outputs.

Recommended: Completion of "AI for Customer Research"

Some agentic capabilities need Claude Code or Codex ($20/month). We'll guide you through setup.

Required: Claude Pro or ChatGPT Plus subscription

You'll work with an IDE, terminal, and automation platforms. We provide onboarding for non-technical researchers. New to me too! --John

Willingness to learn new technical interfaces

Alumni from "AI for Customer Research" ready to build autonomous agents, synthetic users, and workflows that work independently.<pre><code class="language-markdown"></code></pre>

Experienced researchers wanting to explore frontier capabilities—building agents, deploying synthetic users, and pushing beyond limits.

Product managers and designers ready to harness agentic AI for research—no coding background required, just curiosity to learn.

Gain hands-on mastery of AI research tools and frameworks to deliver trusted insights faster while maintaining the rigor that matters.

Pinterest

John Whalen, PhD

AI for UX Expert | Fortune 500 clientele | CEO, author & speaker

Schedules alternate by cohort to support multiple time zones. This cohort meets in the afternoon (ET).


Schedules alternate by cohort to support multiple time zones. This cohort meets in the evening (ET).

<pre><code class="language-markdown">If you're anxious that AI might make your skills obsolete, you're not alone. Customer research is changing fast—and whether you're a seasoned researcher or a designer or PM now expected to gather insights, you need to create results you can trust in an AI-powered world.

Here's the challenge: AI tools promise speed and scale, but can you trust the output? How do you maintain quality while leveraging AI's power?

The gap is widening. Some teams spend weeks gathering insights manually while AI-confident practitioners deliver trustworthy results in days at 10x scale. The difference isn't just speed—it's who gets invited to strategic conversations, who leads high-impact projects, and who shapes decisions with confidence.

This course gives you frameworks to evaluate quality and trust. You'll access enterprise-grade tools, learn from founders building these platforms, and develop critical judgment to distinguish reliable insights from AI noise.

You'll try tools yourself and form your own conclusions. No hype. Just practical expertise from someone who's tested hundreds of tools and knows what delivers trustworthy insights.</code></pre>

Create Customer Insights with AI You Can Actually Trust

Conduct AI-moderated customer interviews confidently

Extract insights from 50+ interviews using AI-powered analysis tools

Develop frameworks to assess new AI tools and know when they actually work

Use synthetic users for rapid testing and validation of ideas before launch

Guide your team or organization in adopting AI research tools and best practices

Connect with practitioners navigating AI research together and sharing insights

You've worked with customer insights in some capacity—whether you've conducted research yourself, collaborated with researchers on your team

Experience with customer research or user feedback

This is a practical course with weekly exercises using AI platforms. You'll need time to experiment and apply what you learn.

Willingness to try new tools hands-on

We use tools and prompting techniques that don't require any coding knowledge. If you can write clear instructions, you're ready.

No technical background required

Researchers seeking to deliver insights faster at scale using AI—while maintaining the quality and rigor that makes their work trustworthy.

PMs and research leaders balancing the need for rapid customer insights with concerns about maintaining quality, rigor, and team standards.

Designers seeking practical AI tools to understand users, test concepts, and make evidence-based design decisions with confidence and speed.

By the end of this course, you’ll shift from a product-focused mindset to a customer progress and outcomes-oriented mindset.

Managing Partner - Customer Centric LLC

Citi

Ecobee

lululemon athletica

Wellhub

TransAlta

JOHN GUSIFF

John Gusiff is the Managing Partner for Customer Centric Solutions LLC.

Cohort 5

This course shows you how to apply JTBD to real business decisions—by using the right framework for the right use case.You’ll move beyond idea-driven innovation to designing around customer progress—what actually drives demand, adoption, retention, and growth. Rather than treating JTBD as one method, you’ll learn how it applies across seven real-world use cases, grouped into four goals:<ul><li>Growth &amp; Market Expansion – increase demand and adoption</li><li>Product &amp; Offering Differentiation – compete through better products and services</li><li>Experience &amp; Decision Enablement – reduce friction and support confident decisions</li><li>Retention &amp; Long-Term Value – improve customer success and loyalty over time</li></ul>You’ll compare the top three JTBD frameworks side by side—Ulwick’s ODI, Kalbach’s JTBD Canvas 2.0, and Boehme’s Wheel of Progress®—to understand when to use each and where they fall short.In the final project, you’ll apply the right JTBD approach to your own use case, leaving with a practical, decision-ready framework you can take back to your team.

Using Customer JTBD Methods Across Growth, Product, and Experience

Shift from Product Thinking to Customer Progress Thinking

Apply Job Theory to Guide Innovation and GTM Decisions

Recognize the Difference Between Idea-Driven and JTBD-Driven Innovation

Understand the Five Types of Innovation and Where JTBD Fits

Compare and Contrast the Top Three JTBD Frameworks

Combine Framework Components for Your Specific Use Case

Product Strategists and Innovators looking to uncover and prioritize the progress customers are trying to make to guide product decisions.

Service Designers who want to map end-to-end experiences and identify friction that shapes how customers use and value a service.

CX &amp; Customer Success who need to understand why customers “hire” or switch products to improve journeys, adoption, and business outcomes.

Learn Advanced JTBD quantitative methods that prioritize opportunity, guide product roadmaps, and shape exceptional customer experiences.

G Adventures

Humana

Insights Architect, Consultant CX/UX/MR

Intuit

Microsoft

ServiceNow

YouTube

DOMINIC RICCHETTI

Insights Architect, Consultant CX/UX/MR Strategy and Methods

Cohort 1

Cohort 2

🔍 Uncover. 📊 Quantify. 🚀 Innovate.Transform Your Product Experience and Strategy with Jobs-to-Be-Done ResearchMost teams stop at the customer interview. But understanding customer progress isn’t just about rich stories — it’s about translating that insight into an actionable, quantified strategy. Gain the tools, methods, and confidence to drive smarter product decisions leveraging proven jobs-to-be-done quantitative research methods.It will be case study-based course you'll get hands-on experience in the following:🎯 Define your market (job performer + job=to-be-done) using the Market Definition Canvas🔍 Identify the core job, related jobs, and emotional context🛠️ Create a robust process map to reveal friction and opportunity across the customer journey🎯 Pinpoint and validate the right target audience📋 Design outcome-based surveys that quantify product and CX opportunities📈 Run opportunity scoring to prioritize what matters most🧠 Make strategic decisions based on actual customer progress — not opinionsWe’ll leverage powerful frameworks and methods from Tony Ulwick and Jim Kalbach.

Uncover. Quantify. Innovate.
Transform Your Product and CX Strategy 

Frame Your JTBD Research with Precision

Build a Robust Job Map for Quantitative Analysis

Design an Outcome-Based JTBD Survey (Quantitative)

Analyze and Visualize JTBD Survey Data

Create a JTBD-Validated Product & Experience Strategy

Apply PCA + JTBD to Advanced Business Decisions

Innovation Leaders seeking to identify underserved markets and high-impact opportunities that shape product and experience strategy.

Product managers looking to prioritize jobs/outcomes using quantitative customer needs data, not just gut instinct.

User and UX Researchers ready to move beyond interviews and turn JTBD insights into statistically valid, data-backed findings.

Talk to customers. Test assumptions. Build with conviction.

Cohort 4

Head of Product | x-Oracle, Autodesk

Oracle

Autodesk

Stanford University

National Peace Corps Association

Arup

Moiz Kapadia

Fractional Head of Product | ex-Oracle, Autodesk, Stanford alum

Cohort 3

In 4 weeks, we'll Decide what goes on your roadmap.Claude will speed up the process but you'll apply your judgement to making a Decision.You know that Customer Discovery is a core skill for Product Managers. It's in every job description and you're expected build a customer centric product.When you showed up, your product leadership is too busy for structured discovery. Or worse, your team doesn't talk to customers.But you're still expected to deliver a roadmap that moves the needle.Without discovery, you build off loudest voices—sales demands, customer complaints—but those don't make great products.AI-powered discovery sprints change that.The best PMs uncover real needs, justify with conviction, and ship solutions that move metrics.Note: We will finish on April 21st. This gives you time to run interviews and synthesize together.Why I built this:I scaled a 0-to-1 energy product from 30K to 1M customers in 12 months at Oracle Energy &amp; Water by running discovery sprints. Got promoted to Principal PM and became the company's discovery lead. Now, I run my own Fractional Head of Product practice for Silicon Valley startups. Discovery has been my career differentiator.

Only the PMs who ship product get promoted or poached.

Master Fundamental Discovery Skills

Build Claude Skills to run discovery end to end

Present your roadmap to your leadership with conviction

You will be interviewing Customers in the course. This is a critical skill in Discovery, not to be outsourced to AI.

Must be able to schedule at least 1 Customer Conversation

Product Managers at a company without a structured discovery practice

Founders who need validation before investing time and money in product development.

UX Researchers who are overloaded with discovery work and are looking for a system to speed up their workflows

User Research

Cohort-based courses

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