Evaluate the quality and accuracy of AI insights

Hosted by Ann Conway

Wed, Nov 5, 2025

5:00 PM UTC (30 minutes)

Virtual (Zoom)

Free to join

146 students

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The AI-Supported Design Research Process
Ann Conway
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What you'll learn

15 methods to audit AI-generated insights

A checklist of steps to test AI’s accuracy, coherence, and relevance, and flag insights that misrepresent real data.

Prove (or disprove) AI’s reasoning

Learn how to make AI “show its work” and trace each theme back to evidence, not assumption or generalization.

A quality workflow that builds trust in your work

A repeatable framework for judging AI Product, Process, and Performance quality, and communicate it to stakeholders

Why this topic matters

The fastest way to lose trust is to share an AI-generated insight that isn’t true. In this live session, you’ll learn how to test AI’s outputs before they ever reach stakeholders — spotting invented quotes, weak reasoning, and over-generalizations. You’ll leave with a practical quality checklist and a method you can use to defend your work with confidence.

You'll learn from

Ann Conway

Founder & CEO of Amplify, helping brands use AI to transform their work.

I’m Ann Conway, founder of Amplify, a customer experience design consultancy that helps complex organizations translate deep research into strategy and growth. Over the past decade, I’ve led design research and innovation work with Fortune 500 brands — specializing in designing for customer loyalty and drive behaviors in the shopping journey.


In the past year, we've thoughtfully integrated AI into every step in our design process — from accelerating research ops to deepening our insights to improving our strategic storytelling.


The result has been incredible: put simply, we can produce more and better work. And more importantly, we haven't lost our role leading the process, our human judgment, or our professional rigor.

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