Agentic AI

Coding with AI

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OpenClaw

Vibe Coding

AI Evals

AI Transformation

RAG & Search

AI for PMs

AI for Engineers

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Product

Product Sense

Product Discovery

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Prototyping

Growth

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Tech Foundations

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Influence

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Career Growth

Engineering

Machine Learning

LLM Ops

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System Design

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Figma

Design Systems

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AI for Leaders

AI Governance

Communication

Management

People Operations

Exec Presence

Storytelling

Goal-setting

Personal Brand

Founders

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More

Everyone

Operators

Data Scientists

Business Analysts

User Researchers

Customer Success

Project Managers

HR Professionals

Sales People

Lawyers

Finance

Investors

Real Estate

Educators

Creators

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

Sessions: 29-31 May 2026. Office Hours and support in June.

AI & Research - Cohort 02

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."

This is not a course you complete. It's a practice you begin. The skill of hearing what your market needs before they have words for it.

AI Research Leader •Ex-Meta, Uber, Apple

Uber

Apple

Google

Canvas8

Abi Awomosu

AI Research Leader • Ex-Uber, Meta •  Bestselling Author of 'How Not to Use AI'

Cohort 8

Cohort 9

Most practitioners don't struggle with access to data. They struggle with knowing what matters — and AI made it worse, not better.Most AI research courses teach extraction: summarize quicker, automate the asking, replacing the human with the synthetic.The Billion Person Focus Group® does the opposite. You use AI as a listening partner to access patterns from places where people actually gather and speak unfiltered— forums, communities, support tickets, sales calls, product data.Triangulate across sources. Bring receipts. Then hand off what you find to surveys, interviews, or experiments.Discovery first. Validation second.This isn't "move fast and break things." It's see first—act once.In two days, you’ll apply this to a real high-stakes decision and leave with:<ul><li>Visual market landscape maps</li><li>3–5 decision-ready hypotheses</li><li>A ready-to-run Listening OS — agents, workflows, cookbooks — customized to your market</li><li>A validation plan you can execute Monday</li></ul>And you keep everything — for the next launch, the next client, the next pivot. Stop renting insights. Start owning the capability.

See what your market really needs — before it's obvious or too late.

See your market as it actually exists— not how dashboards flatten it

Identify emerging market trends before they become mainstream.

Hear what your market needs before they have words for it

Assemble AI advisors that shape decisions  — not yes-machines who confirm

Move at AI speed and still trust what comes back

Stop renting insights or more AI tools — develop internal intelligence you keep

The course is taught primarily using Claude, but the methodology works across platforms. No technical skills required.

Familiarity with AI tools — you've used ChatGPT, Gemini, Claude or similar. 

Researchers &amp; Insights Professionals. AI tools summarise fast but insights got thinner. You used to find the unexpected. This brings it back

Strategists, Marketers &amp; Consultants. You're paid to see what's next but AI gives you what's already obvious. This is how you see first.

Founders, Product Leaders &amp; Builders. You build for people but somewhere you stopped hearing their needs. This is the direct line back.

Talk to customers. Test assumptions. Build with conviction.

Fractional CPO | x-Oracle, Autodesk

Oracle

Autodesk

Stanford University

National Peace Corps Association

Arup

Moiz Kapadia

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

Cohort 4

Cohort 5

Most PMs are stuck shipping a roadmap they don't own. Engineering builds what they want. Sales promises features for deals. You can't build the product that defines your career if you don't own it.So you build in a vacuum &gt; Launch &gt; nothing moves &gt; and the career cost stacks up quietly.The PMs who shipped great products didn't do it by magic.They ran customer discovery sprints to build their case, de-risked the product and launched with conviction.The truth is that nobody is going to tell you to run a customer discovery sprint.You have to bring it yourself.But reading about it isn't enough — you need a repeatable process and a guide who's done it over and over again.This course teaches you a structured, AI-Powered Discovery process using Claude — applied to whatever you're building right now.Over 3 weeks of live lessons + ongoing office hours:First, learn discovery fundamentals and set up your AI Powered Discovery Agent.Then, you'll run customer convos and use AI to analyze.Finally, we'll make sense of your interviews together. By the end you'll know what to build.The PMs who do this get promoted, poached, and opportunities they didn't go looking for.

A great career in product is defined by one thing: what you ship.

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

Turn mountains of customer feedback into strategic answers you can trust

Strategic answers you can trust, fast

Capital One

Bloomberg

Pinterest

John Whalen, PhD

Cognitive scientist, CEO & O'Reilly author · Top 100 Maven instructor

Cohort 1

Your customers are telling you what to build, fix, and prioritize. It's sitting in survey responses, support tickets, app reviews, and NPS comments. But who has time to read through it all — and even if you did, would you know what to look for?Most people skim a handful of responses and go with their gut. Or they paste everything into ChatGPT and get a vague summary they can't really trust. Either way, the strategic signal stays buried.In this three-hour hands-on workshop, you'll build an AI-powered analysis pipeline that does what a senior researcher does — but in a fraction of the time:Extract specific findings from your raw feedback dataSynthesize patterns across hundreds of responses, with evidence countsVerify every claim against the original source — no hallucinations, no cherry-pickingProduce a strategic summary framed around what to do nextNo coding. No expensive tools. Just structured prompting techniques and text files you can reuse with any AI assistant.You'll leave with a working system — configured for your specific data and questions — and the skills to point it at your own feedback the same day.

Go from a pile of unread feedback to strategic answers you can trust and act on — in a single afternoon.

Finally get through your feedback backlog

Find what you didn't know to look for

Trust what the analysis tells you

Make AI think strategically — like you

Turn feedback into a decision, not another document

Never start from scratch again

Product managers and founders sitting on customer feedback they haven't had time to properly analyze

Designers, engineers, and startup teams who need customer insights but don't have a dedicated researcher

Researchers who want to accelerate their own analysis and give non-researcher partners a workflow they can run

Managing Partner - Customer Centric LLC

Citi

lululemon athletica

Ecobee

G Adventures

Wellhub

John Gusiff

Managing Partner, Customer Centric Solutions LLC

Most teams ask customers what they want. But customers don’t switch because of features — they switch when the forces pushing them forward outweigh the forces holding them back.In this hands-on 3-hour workshop, you’ll learn how to run Six Forces JTBD Switch Interviews to uncover why customers actually buy. You’ll then learn how to turn those insights into opportunity statements that inform product decisions, positioning, and go-to-market strategy.You’ll learn how to:<ul><li>Run Six Forces JTBD switch interviews</li><li>Identify how customers make progress from struggling moment to hiring moment</li><li>Synthesize interview findings into patterns</li><li>Create opportunity statements</li><li>Decide what to build/change about your GTM strategy</li></ul>Perfect for founders, product leaders, marketers, and growth teams looking to move beyond opinions and uncover the real drivers of customer decisions.

Discover Why Customers Actually Switch

Uncover why customers switch and turn insights into confident GTM decisions.

Why Customers Actually Switch

How to Run Six Forces JTBD Interviews

How to Identify Real Buying Drivers

Turn Interview Insights into Opportunities

Decide What to Revisit GTM Strategy

Founders and Product Leaders Understand why customers switch and where to focus your roadmap.

Product Marketing and GTM Leaders Identify buying drivers and turn them into positioning and strategy.

Customer Success and Retention Leaders Understand why customers churn or expand, and identify opportunities to improve retention and growth.

AI-Native PMs: Product-Market-Fit in 2026

Jiri Kobelka

CEO of ClosedLoop AI (ex-CPO at QuickNode and Tatum)

AI removed the building bottleneck. The frameworks never adapted. See what changed and why most teams missed it.

Why 2015-era discovery frameworks silently broke

The best product teams reversed which customer signals they prioritize. You'll learn the new hierarchy and why it works.

The data hierarchy flip top teams quietly made

Counterintuitive patterns in customer conversations predict PMF earlier than NPS or surveys. Learn what to watch for.

Spot product-market fit signals most PMs miss

Fast Track GTM Positioning Using Synthetic User Research

Managing Partner for Customer Centric Solutions LLC.

Understand how synthetic (right-to-left) & organic (left-to-right) research differ, and how they complement each other.

The Difference Between Synthetic vs. Organic User Research

Learn to extract actionable buyer needs & struggles from AI-powered research, and translate into sharp GTM positioning.

How to Turn Synthetic User Insights Into Positioning Clarity

Examples from Ramp, ClickUp, and Narrio AI using synthetic user research to study buyer journeys and customer progress.

Case Studies That Show How It Works in Practice

Walk away with a clear framework for running a Customer Intelligence Sprint that goes from interviews → patterns → GTM.

A Repeatable 10-Day Sprint Framework

Synthetic User Research: Why B2B SaaS Deals Stall?

Founder, Customer Centric Solutions LLC

Understand why buyers don’t switch due to features or demos—how fear, friction, and normalized pain quietly block deals.

Why B2B SaaS Deals Stall (Even When the Tool Is Better)

User Research

Cohort-based courses

Free Lightning Lessons

AI-Native PMs: Product-Market-Fit in 2026

Fast Track GTM Positioning Using Synthetic User Research

Synthetic User Research: Why B2B SaaS Deals Stall?

How to Turn AI Prototypes into Validated Products

Customer interviews that work and why

Build AI-Powered Customer Segments (That Scale)

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