Product Leader, Ex Zalando, Flipkart. 

Zalando

Flipkart

eBay

Aditya Vithaldas

Product, Analytics and Engineering Leader, eCommerce & Fintech. Hands on builder

Build a Decision Harness for your eCommerce store

Corroborate analytics with customer feedback and industry signals to spot changes, risks, and opportunities.

Get proactive business insights in Slack

Set triggers, owners, and approval rules to turn insights into assigned tasks, alerts, and automated follow-ups.

Define workflows and automate actions

Use expert ecommerce frameworks, team feedback, and recorded outcomes to refine insights and future responses.

Apply expert thinking and learn from your process

Get from scattered prompts to semi-automated systems that run with minimal time from you—and run evals to find what works best.

Training teams at YouTube, Canva, Maze +

YouTube

Canva

Figma

Ramp

Caitlin Sullivan

Ex-Head of UXR in Product Team - Spotify Business, Advisor, Top 100

Cohort 5

Cohort 6

In 2 weeks, you'll go from Claude running superficial scans of your discovery data to airtight decisions from continuous workflows. No missed hidden gems. No hallucinations you didn't catch. Just insights you can actually bet your career on. From workflows that let you gather customer signal on repeat. Free Claude Code tutorials teach you how to use the tool to go faster. But faster can also = superficial. This course teaches you to build insight systems that are fast, validated, and run with minimal effort. -- You'll build systems that: - Have trustworthy verification built-in - Apply your own style and process that you know works - Minimize unnecessary context window/token use - Deliver customer signals in half the time

10x faster insights—that are actually right.

Build systems for insights that are FAST *and* RIGHT

Connect + update everything, export nothing

Know what works -- and prove it

Ship with confidence

You have a computer you're allowed to install Claude Code on, give file access to, and you'll use it in the Terminal. 

You're allowed to use Claude Code on your computer

Claude Pro or Max subscription (from $20/month), or Anthropic developer console account with credits (pay as you go).

You have Claude Pro or Max

You don't need to know how to do anything in there yet, but you *must* have set up Claude Code before the course dates begin.

You have Claude Code set up in your terminal, logged in with an account

You're a PM who's watched free Claude Code tutorials--but know you can't trust their superficial synthesis. You need systems for big bets.

You're a Researcher or Designer who want to 10x your analysis speed without sacrificing reliability.

You're making product decisions from qualitative or quantitative customer data<ul><li></li></ul>

Transform from consumer of analytics to independent operator - asking sharp questions, validating answers, shipping decisions.

Principal Data Scientist @ Ontra 

Stripe

Nextdoor

PwC India

Ontra

AppFolio

Shane Butler

Principal Data Scientist @ Ontra | Ex-Stripe, Nextdoor, PwC, Appfolio

Data Science Leader |Ex-Microsoft

Microsoft

Grammarly

Superhuman

Sravya Madipalli

Data Science Leader@Superhuman (Prev. Grammarly)| Ex-Microsoft, eBay, Nextdoor

Head of Data @ Ontra AI | Ex-LinkedIn

LinkedIn

Pinterest

Hai Guan

Head of Data @ Ontra | Ex-Nextdoor, LinkedIn, Pinterest, Meta

Cohort 3

Cohort 4

As AI reduces the value of deep domain silos, the people who thrive will be the ones who can work across disciplines and ship. Analytical independence - the ability to validate your own ideas and make data-informed decisions - remains the missing skill in most builders' toolkits.AI can conduct the analysis, but it can't tell you what to ask or whether the answer makes sense. That requires analytical judgment.This course teaches you to think like a senior Product Data Scientist. You'll learn the frameworks used at FAANG companies to frame problems, choose the right metrics, diagnose root causes, execute the analysis, and turn insights into decisions.-&gt; <a target="_blank" rel="noopener noreferrer nofollow" href="https://join.slack.com/t/dataneighbor/shared_invite/zt-3ox4drc3r-3g0ptSthytkgv0sD6ovvqg">Join AI Builders Slack Community!!</a> &lt;-What makes this different: No SQL. No stats lectures. Five weeks of hands-on real scenarios. You'll build end-to-end, metric specs, deep dives, experiment plans, stakeholder readouts.The result: You become analytically self-sufficient. The last dependency removed from your toolkit. Make data-informed decisions in hours, not weeks.

Ask Better Questions, Make Faster Decisions - with AI as Your Analyst

Frame Problems Like a Senior Data Scientist

Design Metrics That Actually Drive Decisions

Diagnose Root Causes Without Guessing

Design Experiments That Ship

Turn Analysis Into Action With AI as Your Copilot

Synthesize Insights and Prioritize for Impact

Product Managers, engineers, and operators who need analytical independence and frameworks to measure success and drive decisions.

Designers and researchers stepping into strategy roles who need to quantify impact, run experiments, and influence with data-driven insights

Data professionals who want to frame better questions, delegate technical execution to AI, and drive impact with agentic analytics tools.

Move from building fast to deciding right — an AI decision system that turns signal into product calls you can defend.

Ex-VP Product | AI Advisor

Heather Gawel

Founder of Momentum Product Co. Fractional product leader. Trains PMs to use AI.

AI Engineer | 2,000+ trained. 

Babajide Okusanya

Product leader & software engineer. Makes AI product decisions actually ship.

Cohort 1

Cohort 2

Most AI-for-product courses teach you to build faster — vibe-code a prototype, ship an agent. This one teaches you to decide what to build.AI compresses the cycle between signal and strategy. The PMs pulling ahead aren't shipping fastest — their roadmaps are grounded in customer truth, competitive reality, and live product signal, and they can prove it.The hard part was never doing the work faster. It's knowing which work to do at all.So we go across the whole product process — discovery, prioritization, pricing, GTM, retention, the post-launch loop — and assess it job by job: what can be augmented with AI, and what should. Most teams point AI at the wrong jobs.Over three weeks you'll build a decision system powered by AI: one that ingests customer insight, stress-tests it against strategy, validates ideas before you build, and closes the loop after launch.Not faster for its own sake. Faster toward the right thing — with the receipts to back it up.

In the AI era, building is cheap. Deciding is the whole game.

Build an AI decision system you'll reuse on every product call

Decide what AI should augment across your whole product process

Turn raw customer signal into truth in minutes, not weeks

Validate ideas before you build — and kill the wrong bets early

Tie every product decision to the ROI number that matters

 Defend your direction to execs and close the loop after launch

A paid AI subscription (Claude or ChatGPT), some product experience, and a real decision to bring. No coding required.

What specific tools or skills are required? 

Senior PMs/Product Leaders who own the roadmap, drowning in signal, done with AI advice that stops at "prototype faster." You decide bets.

Founders and CEOs running product with no product leader yet — who want seasoned AI-and-product judgment without a full-time hire.

PMs whose scope now spans pricing, GTM, retention, and revenue, wanting one system to decide across all of it — not just the build.

Turn AI & Human Use into Workflows You Can Reuse, Trusted & Track Outcomes 

Human-AI Work & Systems Advisor

Joyce Ventures

University of Wisconsin-Madison

Center on PBIS

Joyce White Nelson 

Systems-Change Advisor | Human Judgment & AI-Assisted Work | Founder, iQuoteHero

Founding Live Workflow Lab — September 2026

AI can help you move faster and sound “good.” But when the workflow is unclear, speed and false positives can create rework, weak review, lost context, generic output, or confusion about who owns the result.This Lab is for experienced professionals whose expertise, judgment, and relationships matter—and who are now figuring out how AI belongs inside the way they actually work.You’ll map how the work happens now, identify where AI should assist, decide what requires human judgment and verification, and redesign the workflow with clearer roles and accountability.<h3>My Working Lab Guarantee</h3>This is a working session about your needs, not about tools. Bring one real workflow, participate in the Lab, and leave with:<ul><li>A Human + AI Workflow Map</li><li>Clear decisions about what to delegate, retain, verify, or change</li><li>Defined judgment and accountability points</li><li>One practical change to test in your work</li></ul>Afterward, I’ll follow up to review what improved, what created friction, and what to keep, revise, or stop.Participate, create and test your workflow, and follow up with me. If you don’t believe I demonstrated value, tell me. I’ll return your enrollment.

Redesign one real AI-assisted workflow so the Human/AI roles are defined and make  human judgment, accountability, or expertise visible.

 Map one workflow as it works today

Decide where AI belongs

. Protect human judgment and accountability

 Identify the most important risk or rework point

 Design one improved workflow experiment

Workflow to measure the outcome 

Experienced entrepreneurs and founders Already using AI and want clearer judgment, better workflows, and less hidden rework.

Consultants, coaches, and advisors Use AI in client work but want to protect quality, credibility, voice, and professional responsibility.

Leaders, educators, and team facilitators Need ways to decide where AI helps, where humans stay accountable, and people keep learning.

Agentic AI

Coding with AI

AI Workflows

Claude Code

OpenClaw

Vibe Coding

AI Evals

AI Transformation

RAG & Search

AI for PMs

AI for Engineers

AI for Designers

AI for Marketers

AI for Founders

Product Sense

Product Discovery

User Research

Prototyping

Growth

Analytics

Tech Foundations

Strategy

Influence

Leadership

Career Growth

Machine Learning

LLM Ops

Context Eng

Security

System Design

Design Systems

Visual Design

Design Strategy

Automation

Content Marketing

Demand Gen

Product Marketing

Positioning

Social Media

Brand

B2B Marketing

SEO & AEO

AI for Leaders

AI Governance

Communication

Management

People Operations

Exec Presence

Storytelling

Goal-setting

Personal Brand

AI for GTM

Sales

Customer Success

GTM Engineering

Everyone

Founders

Operators

Data Scientists

Business Analysts

User Researchers

Project Managers

HR Professionals

Sales People

Lawyers

Finance

Investors

Real Estate

Educators

Creators

Operations professionals who optimize processes and manage day-to-day business functions.

Startup founders building new businesses, from MVP to scale.

Using data and metrics to measure performance, run experiments, and inform decisions.

Build a Decision Harness for your eCommerce store

What you'll learn

Why this topic matters

You'll learn from

Aditya Vithaldas