Susan Mercer

Don’t Trust Your First AI Output – Question It

Bentley University

Viator

Insulet Corporation

Adjunct Lecturer, Bentley University and Former Director of UX Research, Viator

Watch a live demo of theme clustering of an interview dataset. You'll see credible-looking output. But what's missing?

See how AI synthesis fails — even when it looks right

Your first prompt shapes what AI gives you. A follow-up question adds missing details.

Learn why the second question matters as much as the first

AI output is a hypothesis, not an answer. Once you see it that way, you'll iterate toward something you can trust.

Walk away with a simple framework you can use this week

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

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

April 2026

AI Research Expert | Johns Hopkins PhD

Google

Capital One

Bloomberg

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).


March 2026

June 2026

<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.

Most PMs build the wrong thing. This is how you stop.

Led Oscar and Emmy awards products

Adobe

Roblox

Adobe Substance 3D

Nicolas LIATTI

Product leader behind Oscar and Emmy award winning products

Cohort 1

Feature requests never stop. Most PMs either comply or overthink alone. Senior PMs reframe requests into outcomes and use AI as a sparring partner to challenge assumptions before committing teams. In this session, you’ll practice that shift on a real feature request and walk away with a reusable mental model.

You'll leave with a system you can use Monday morning — and the AI prompts to run it on any feature request, every time.

Reframe any feature request into a behavior change hypothesis in minutes

Run the diagnostic live with AI on your own feature requests

Build an Outcome Brief that replaces the feature spec, with a decision gate

Simulate exec objections with AI before walking into the room

You ship features but metrics don't move. This workshop gives you a system to connect what you build to real behavior change.

You get handed feature requests and feel pressure to execute. This gives you the framework and AI prompts to push back with evidence.

You use AI to go faster. This shows you how to use it to think better, a sparring partner that challenges assumptions before you commit.

Learn to achieve reliable AI outcomes without prompt packs, system prompts, or agent tricks—use structured inputs for consistent results.

Creator, AIgogy Framework™ | Advisor

Rockford University

Silali Banerjee

Creator of AIgogy Framework™ for reliable, structured AI outcomes

June2026Cohort

AI is changing how work gets done, but most professionals are still managing it instead of delegating to it.Write a prompt. Adjust it. Fix the output. Repeat.It works sometimes. But it does not hold. That loop does not scale.As expectations rise, this becomes a real constraint. People are expected to move faster while still producing work that shows sound judgment, clear reasoning, and quality. Generic output is not enough.The gap is not access to AI. It is the ability to direct it reliably.Most people try to solve this with prompt packs, template libraries, system prompts, or layered instructions. These can help, but they do not reliably reflect your goals, standards, tradeoffs, and situation.AIgogy Framework™ helps you move from trial-and-error prompting to more structured delegation, so AI can support analysis, decision-making, and context-dependent communication with greater reliability.You will not just use AI. You will make it work in ways that fit your judgment.<hr>

Move from prompt tweaking to true AI delegation.

Achieve More Reliable AI Outcomes

Reflect Your Voice and Working Style

Embed Your Judgment and Standards

Reduce Rework and Increase Leverage

Leaders (Decision Owners) Leaders accountable for outcomes who need AI to reflect their judgment without reviewing or correcting every output

Operators (Execution Owners) Operators responsible for consistent delivery who need AI to produce aligned outputs without repeated rework

Knowledge Workers (Expertise Carriers) Experts who need AI to apply their domain knowledge and standards, not generate generic outputs.

From Experiments to Scale: How Leaders Build High-Performing, Trusted AI Systems

Fractional Chief Product and AI Officer

Fanatics

eBay Inc.

Walmart

Upwork

Subha Shetty

AI-first product leader, transformation coach, and advisor to F100 and start-ups

May 2026

Evals are having a moment - and for good reason. As AI systems move from pilots to production, leaders are confronting a hard truth: performance without trust doesn’t scale and AI drift is real.But evals alone are not the system.This workshop reframes evals within a broader, executive lens: performance + governance = trust at scale. You’ll learn how leading organizations are moving beyond isolated testing toward building AI systems that are measurable, reliable, and continuously improving.Grounded in insights from leading institutions and practitioners such as the WEF, McKinsey, Deloitte, Stanford HAI, and voices such as Dario Amodei, Andrew Ng and more - this session connects cutting-edge thinking to practical execution. This is a highly interactive session. You will:<ul><li>​Work hands-on to design and build your own eval (for an AI or agent use case)</li><li>​Explore how Guardian Agents, KYA (Know Your Agent), and feedback loops enable trust at scale Why This Matters Now The conversation is shifting from What can AI do? to Can this system scale and be trusted? Winning leaders will go beyond the best pilots - they will build high-performance governed AI systems that are continuously improving.</li></ul>

You will walk away with your first (or improved) eval. 
A trust framework with evals, governance, HITL, Guardian Agents and more...

Senior product, eng, data, design and business leaders responsible for:scaling AI beyond pilots and ensuring trust, safety, and governance.