Sprig

AI-Powered User Research for Product Managers

Google

Scale AI

MIT research group

Fluxon

Ana Gubin

AI Product Lead at Sprig

Learn how AI can exponentially decrease your time, effort, and cognitive load in running effective user research.

How to gain 10x deeper user research insights through AI

Understand high-leverage uses for AI in your problem discovery, feature prioritization, and end-to-end development.

Where and why AI is a trustworthy assistant to you as a PM

Discover the limitations of existing LLM capabilities and where to *avoid* relying on AI in your workflows!

Where NOT to use AI in your product work

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

AI Research Expert | Johns Hopkins PhD

Capital One

Bloomberg

Pinterest

John Whalen, PhD

PhD. O'Reilly author. Host of AI for UX, where I interview AI tool founders.

Schedules alternate to support multiple time zones. This cohort meets 7-9 pm (EDT).

April 2026

June 2026

The researchers I talk to feel two things at once: overwhelmed by the pace of AI, and watching real possibilities open up that didn't exist two years ago.Both are true. AI lets you run 500 interviews across 12 countries in a week. It surfaces patterns across thousands of sessions. It opens research to teams who never had budget for it. Synthetic users let you pressure-test ideas in hours. These are new ways of working.But how do you trust the output? Which tools deliver, and which produce confident nonsense?That's the shift this course is built around: from doing research one study at a time to orchestrating systems that scale. You'll get hands-on with the platforms researchers actually use (Listen Labs, Coloop, Marvin, Synthetic Users), hear from the founders building them, and build the judgment to know what holds up.This is Course 1 of 2 in the Certified Agentic Research Specialist program — your foundation. Course 2, Agentic AI for Research, builds on it. The researchers pulling ahead are orchestrators — conducting research with more reach, impact, and confidence than before.No hype. Just what works.

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.

Build a working AI system connected to your real PM tools - research, prototypes, evals, and automation in 4 weeks.

20 years in product. 200+ PMs coached.

Indeed

Bazaarvoice

Will Lowrey

 20 years in product leadership. Indeed, Bazaarvoice, startups. 200+ PMs coached

Founding Cohort

Cohort 2

Every PM has tried AI by now. Most stopped with chatbots.You've pasted in a PRD. Maybe you even ran a competitive analysis once. But none of it stuck. You don't have anything connected to your actual tools. It's better than before, but still clunky. The gap isn't knowledge. It's that nobody taught you how to build it - and the LinkedIn posts and tiktok videos are just one video after another of what could be. You've got to take it from reading/watching to DOING.Week 1: Run a competitive analysis in 20 minutes that used to take half a day. Build a reusable skill so the next one takes &lt;3 minutes.Week 2: Learn what evals are and why they're the skill that separates AI tinkering from AI building. Build a practice set that tells you whether any AI output is good enough to ship.Week 3: Wire Claude into your actual stack - Slack, Linear, GitHub, Google Docs. Build a clickable prototype from a PRD and test your skills on live data instead of copy-pasting.Week 4: Chain it all into a PM operating system that runs on a schedule.We start from zero. Pre-work covers the terminal, prompting, and your first skill before the first session.You don't leave with notes. You leave with a working system.

Build AI workflows connected to your real tools, tested on your real work.

Do PM research in 20 minutes that used to take half a day.

Learn to Eval AI output - not just doing a vibe-check

Connect Claude to your tools and build a working prototype

Build workflows that run on a schedule

Start from zero. No coding experience needed.

Learn by doing your actual job, not case studies.

If you believe that AI is a fad and is going away, this isn't for you. We are building for the future of product work.

This course is NOT FOR everyone

If you're in product, TPM, design, or engineering and want to bulid AI into your actual workflow, this is the right place.

This IS for Product and adjacent roles like TPM, Design, Engineering

You don't need to be perfect. You need to be willing to build, test, and iterate. That's the whole course.

Are You Ready To Try, Fail, Learn, and then Try Again?

The PM who tried AI and hit a wall. You've used some of the chats, but nothing has stuck. You need a system, not another prompt trick.

Senior PM drowning in recurring work. Same competitive updates, same briefs, same summaries every week. You need those hours back!

The Team Lead who wants to model what's next. Your team is watching. Master AI workflows yourself first, then bring the approach to your org

Learn how to use AI super powers to accelerate customer discovery, validate solutions, and make better product decisions.

Cohort 4

Product Innovation & AI Trainer

Cisco

Wesco

Valerio Zanini

Product Management and Innovation trainer. Author, "AI for Product Managers".

Cohort 3

Morning sessions in the US, evening session abroad

Cohort 5

Using AI in product management is not just about getting better at ChatGPT. It's about leveraging AI across the product development life cycle (PDLC) to accelerate, expand, and simplify what's possible, with AI super powers.In 2.5 weeks, you’ll learn - by doing - how to:<ul><li>Understand how AI works, when to use it, and possible risks for PMs</li><li>Use AI for customer and market discovery including synthetic users and interview synthesis</li><li>Use vibe-coding to build prototypes and MVPs of features or entire products (Lovable, Replit, Claude Design, Figma Make, Claude Code)</li><li>Automate your PM workflow with AI Agents and multi-agent orchestration (including Agents, Skills, Claude Cowork)</li><li>How to build AI products and define strategy VS execution</li><li>Use Evals to monitor the performance of AI products and ensure quality of the outputs.</li></ul>This is a hands-on, instructor-led cohort for PMs who make real product decisions.Duration: 2.5 weeks (short, intensive, focused)Format: Instructor-led cohort with 2 sessions per week (see schedule below) and video lessons for reviewBetween sessions: Hands-on assignments to build the practical experience###DISCOUNTS AVAILABLE: Paying out-of-pocket? Laid off? Email me for 50% OFF

Get AI super powers to grow in your PM job

Accelerate your Product Management job

Use AI to accelerate customer discovery

Leverage vibe-coding in the solution space and prototype quickly with AI

Build repeatable AI-augmented workflows you can reuse in real product work

Build AI-driven products and define strategic choices

Senior Product Managers and experienced Product Owners

PMs who want to move beyond “AI curiosity” to real, practical use of AI in product discovery and development, with hands-on practice.

PMs who want a deep-dive on how to use AI in product work to extend their PDLC.

Gain the skills to think strategically, lead confidently, and transform from task‑focused PM to an impactful, outcome‑driven product leader.

Director of AI 

Pepsi

Intel

Swarovski

Jukin Media

Dalibor Jovic

Developer‑turned‑AI director with 20 years and 200+ shipped software projects.

Leadership & Product Excellence Coach

Schlumberger

Odfjell

Tryg

TV 2

Hussam Ahmad

Product leader focused on strategy, execution, and human‑centric leadership

May 26

June 26

AI is no longer optional in product work.Stakeholders ask for AI features.Executives talk about “AI strategy.”Customers expect smarter products.And PMs are stuck in the middle, expected to lead AI decisions without clear guidance, shared language, or proven patterns.Many PMs are asking:<ul><li>Where does AI actually create value?</li><li>How do I avoid chasing AI hype or shipping gimmicks?</li><li>How do I design AI features users trust?</li><li>How do I turn vague AI ideas into real roadmaps?</li></ul>AI features will ship—with or without you having clarity.What PMs Must Know About AI exists to answer those questions, practically, clearly. It is not a technical AI course. It is a product leadership course for the AI era, focused on the decisions PMs are now responsible for:<ul><li>Identifying high‑impact AI opportunities</li><li>Designing AI user experiences that work in the real world</li><li>Making confident trade‑offs when AI is uncertain</li><li>Translating AI ideas into roadmaps, outcomes, and OKRs</li><li>Leading AI discussions without hype or fear</li></ul>You’ll use a simple model called ALPHA™ (explained later) to learn how to think and act like an AI‑ready product leaderThis course is built directly from the questions PMs asked in our most popular Lightning Lessons.

Stop guessing where AI belongs in your product.

Lead AI‑shaped Product Work End‑to‑End

Turn vague “AI strategy” into decisions your team can act on

Make Customer‑Driven (AI‑Savvy) Decisions

Become an AI‑Ready Product Leader

and feel some pressure to “have a plan” for AI—even if that plan is unclear right now.

You should already work on a digital product (B2B or B2C) 

You want an intro to AI/ML or hands‑on coding, don’t currently work on a product with real users
or looking for a purely technical AI course

Not a fit  if:

<ul><li>You’re a PM or Senior PM expected to contribute to AI decisions</li><li>You’re stepping into a Lead or Principal Product role</li></ul>

<ul><li>You're a project managers transitioning to product</li><li>You're a startup founder shaping your first product function</li></ul>

<ul><li>You feel pressure to “have an AI plan,” but want clarity—not buzzwords</li></ul>

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

Go-to-Market

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

Fundraising

Everyone

Operators

Data Scientists

Business Analysts

User Researchers

Customer Success

Project Managers

HR Professionals

Sales People

Lawyers

Finance

Investors

Real Estate

Educators

Creators

Product managers who drive strategy, development, and launch of products.

User researchers conducting interviews, usability studies, and customer research to inform product decisions.

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

Conducting user interviews, surveys, and usability studies to understand customer needs and validate decisions.

AI-Powered User Research for Product Managers

What you'll learn

Why this topic matters

You'll learn from

Ana Gubin