Product Insights

Product, Analytics and Engineering Leader , Ex Flipkart, Zalando, eBay

Building a Real-time Voice based Analytics Tool

Aditya Vithaldas

Product Builder - Ex. Zalando, Flipkart, eBay

Ask questions about sales, get clear answers, and drill deeper with follow-up questions - all using your voice.

Explore your apps performance through natural conversation

Build your own voice analytics tool, connect it to your data, and start asking the questions that matter to you.

Build a tool you can start using today

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 10

Cohort 11

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.

Build a real AI product on your own domain in 4 weeks, plus an agent that does one of your weekly jobs and improves from your edits.

AI Superpower Cohort 4

18 AI Products · 50,000+ Students

Nathan Wang

Founder, Ipsion AI & Soul AI | 18 products in 18 weeks | PhD, ex-Apple & Meta

AI Superpower Cohort 3

Is this you?• You have watched 50 AI demos and built nothing you can point to.• You are stuck in endless ChatGPT threads instead of putting agents to work while you sleep.• Your team still does by hand what agents should be doing, and you are expected to have the answer.• You want something of your own, but "raise money, hire a team" feels like the wrong decade.The problem is not AI, and it is not you. Nobody taught you to conduct it.One person directing an agent crew can now do what used to take a team. True inside a company, for a consulting practice, or for a product of your own. The bottleneck was never ambition. It was headcount, and agents just removed it.In 4 weeks you build one real AI product, live on your own domain by Week 2, plus an agent that does a job you do every week. Not a demo. Take it to work, show clients, or seed your own company.The skill outlasts the tool. The course removes its own scaffolding: Week 1 I write your prompts, Week 4 you get a goal and no prompt. You leave with a live product, the Conductor’s Playbook, and proof you can build the next one without me.Cohort 4 is capped at 10. LAST SEAT LEFT. Doors close today!

Your AI agent crew builds. You conduct. At work, or on your own product.

Conduct, Don't Do: Your Coding Agent and a Live Site in Week 1

Build the Real Thing: Sign-In, Data, and a Real AI Call

Live by Week 2: Your Own Domain, Your Own Server, Real Users

Hand Over a Job: The Agent That Does Your Recurring Work

Give It a Loop: Agents That Learn From Your Edits

Run It: Real Users, an Operating Week, and Demo Day

Professionals Who Lead AI at WorkPMs, engineers, and team leads: ship a real agent product and bring the playbook back to your team.

Domain Experts &amp; EducatorsCoaches, professors, consultants: turn what you know into an AI product built by a crew, no engineers required.

Founders &amp; Side-BuildersLaunch your own product and run it as a one-person company: agents do the work, you own the outcome.

Turn information overload into a Knowledge Engine that talks back. Go from drowning in unread PDFs to shipping high-fidelity AI artifacts.

Solutions Architect & AI Educator

Thoughts Brewing

HubSpot

United Way

MANTECH

Damien Griffin

Solutions Architect & Co-Founder at Thoughts Brewing, LLC

Cohort 13

Cohort 14

This course is for AI-curious professionals who are tired of LLMs hallucinating about their own business data. You’ve used the big bots, but you’re ready for a tool that stays grounded in your specific files, not the entire internet.You should pull up a chair if you are:<ul><li>An overwhelmed researcher or lead sitting on a pile of unread PDFs and half-baked notes.</li><li>A solutions-oriented builder who needs to turn raw data into interactive podcasts, briefing docs, and infographics without the usual tech headache.</li><li>A busy professional who has played with Gemini Notebook (aka NotebookLM) but wants a structured way to master the non-intuitive interface and see what else it can actually do.</li></ul>We are looking for active builders who already have a basic handle on how to talk to a bot. We won’t be covering "Prompting 101" here, we are diving straight into building a Knowledge Engine that actually talks back.This is not for the AI absolute beginner or anyone looking for a tool to browse the web for generic answers. This is for the person who wants to tame information chaos and turn their personal library into a competitive advantage.

Master Gemini Notebook: Turn Data Chaos Into Precise AI Artifacts in a Weekend

Build a grounded Knowledge Engine

Transform raw data into executive-level artifacts

Generate custom Audio Overviews for hands-free learning

Visualize complex info with Mind Maps and Infographics

Navigate the 3-panel interface like a systems pro

Pressure-test your mastery with AI-generated Quizzes

You should have experience using tools like ChatGPT, Gemini, or Claude to ensure we can focus on Gemini Notebook-specific workflows.

Proficiency in AI Prompting

A personal or Google Workspace account is required to access the Gemini Notebook (aka NotebookLM) platform during the live sessions.

Active Google Account

Access to a desktop computer (preferred) and a stable Zoom connection for the live interactive portions of the weekend.

Standard Tech Setup

Leaders &amp; Project Managers needing reliable AI. Build a grounded system that uses your data to automate workflows.

Founders synthesizing research fast. Turn private notes and transcripts into professional audio and text reports.

Operators &amp; Researchers managing massive document libraries. Extract precise insights and summarize complex data without manual effort.

A hands-on beginner friendly workshop. Build & Publish your first Data Agent

Data Leader Microsoft, PayPal | Author

Microsoft

PayPal

Geico

Harvard University

UCLA

Gulrez Khan

Data Science Leader Microsoft, PayPal | Award-Winning Author | Storyteller

Cohort 3

Cohort 4

<h2>Why This Workshop Matters</h2>"I've been crunching numbers and telling data stories for the last 20 years... and yet, I felt left out."I felt AI was taking over and I wasn't able to catch up. My company added "use AI weekly" to our OKRs, and I'd nod along in the meeting, then go home and not open the tool for another two weeks. Every tutorial assumed I already knew what an "agent" was. Every demo moved too fast and I sat there pretending to follow (sounds familiar?).What actually broke the freeze was small: I stopped trying to learn AI in general and picked one real problem instead ---&gt; a backlog of favorite podcast transcripts I never watched (how can they release so fast!). So I opened Claude and picked this dataset and tried solving this.This workshop is that first rep, compressed into two hours and handed to you directly so you don't spend three weeks stuck where I was. You'll still need to keep practicing after. But you'll start from a real win, not a blank cursor.

Learn to build a data storytelling agent — direct it, fix it, ship a real story and go from AI-aware to AI-capable.

Direct an AI agent, not just chat with one. 

Turn long text into a Beautiful Data Story

Catch and fix a broken AI output yourself

Speak the language of agents, skills, and workflows with real fluency

Ship something and put your name on it

The Data &amp; Analytics Professional (10+ years in) Comfortable with spreadsheets and dashboards, uneasy about AI.

The PM, Researcher, or CX Lead drowning in large text analysis: Sits on a backlog of customer calls, user interviews or support tickets.

The Consultant, Marketer, or Solo Operator building a public portfolio: Wants proof of AI fluency they can show with a published piece.

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

Figma

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

Engineers and engineering leaders who build, deploy, and scale software systems.

Data scientists who apply statistical and ML techniques to extract insights from data.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

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