Go Deeper, Faster: AI-Supported Synthesis In Practice

Ann Conway

Founder, CX Leader, Top Maven instructor

Synthesis is your secret sauce - don't offload it.

Synthesis is the skill that separates researchers and designers from everyone else with access to the same AI tools. Making meaning out of ambiguous data, filtering what matters from what doesn't, and telling rich stories about users — that's not something you can outsource. It's our unique value and craft.

The problem is that most people use AI in ways that make synthesis worse, not better. Prompt--> output --> copy and paste. Nuance disappears and you're left with something that looks like research but doesn't hold up.

Great synthesis with AI requires a different approach: using AI to amplify and stretch your research intuition and judgment skills, not replace them.

This means knowing when to automate the structural work and when to slow down and use AI as a sparring partner — to challenge your assumptions, flip an insight on its head, and pressure-test your reasoning until you can actually defend it.

In this 3-hour session, you'll watch real methods live on real data, then apply it to your own project. You'll leave with a working synthesis, a sharper insight, and skills you can use tomorrow.

Workshop agenda

  • 11:00AM EDT

    Why this workshop exists

    The anxiety about losing depth is legitimate. Here's why it happens, and why the method you'll practice today produces better analysis, not just faster analysis.


  • 11:15AM EDT

    Demo: Test drive the model

    Watch a complete first-pass workflow live: uploading research data, setting context, establishing a source of truth, and correcting course in real time.


  • 11:45AM EDT

    Practice: Run Your Own First Pass Synthesis

    Apply the method to your own data using guided prompts. The goal is to establish shared reasoning and ground truth with the model that you can build on.


  • 12:15PM EDT

    Demo: Augmentation and Sparring Mode

    Watch one insight get unpacked through iterative dialogue — challenged, stretched, tested against the data, and sharpened into something defensible.


  • 12:45PM EDT

    Practice: Go Deep on One Insight

    This is where your synth gets richer. Pick one finding and stay with it. Push back, ask for evidence, flip it on its head, and experiment with different ways of looking at the data.


  • 1:15PM EDT

    Demo: From Synthesis to Concept Generation

    See how a tight synthesis sets up stronger how-might-we statements and early concepts, and where your judgment does the work AI can't.


  • 1:30PM EDT

    What's Next For You

    What to take back to your next project, where to go deeper, and how this fits into a full AI-supported research workflow.


  • 1:45PM EDT

    Q&A

    I'll answer your real-life questions and concerns about how to apply this to your work.

Learn directly from Ann

Ann Conway

Ann Conway

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

Works with
Allstate Insurance Company
Macy's
Marriott Bonvoy
Bloomingdale's
Techstars
See all products from Amplify

Who this workshop is for

  • Anyone doing user research who wants to move faster and improve the depth and quality of their insights.

  • Research and Design leaders feeling the pressure to have their teams move faster with AI but who want to avoid creating AI slop.

  • Product managers using AI to scale and democratize research who need a structured approach that preserves depth, quality, and human insight.

What's included

Ann Conway

Live sessions

Learn directly from Ann Conway in a real-time, interactive format.

Free one on one coaching session

We'll meet after the workshop to discuss your needs and how you'll apply the skills to your work.

AI-supported synthesis toolkit

The Methods Playbook (23 AI-supported research + strategy methods), AI Insights Evaluation Toolkit, Research Process Template, Thinking with AI practice exercise.

Hands on support

During the practice blocks, Ann will observe and coach you 1:1 as you apply synthesis methods to your project data.

Lifetime access

Go back to course content and recordings whenever you need to.

Community of peers

Stay accountable and share insights with like-minded professionals.

Certificate of completion

Share your new skills with your employer or on LinkedIn.

Maven Guarantee

Your purchase is backed by the Maven Guarantee.

Testimonials

  • This course was a great chance to get together with other research design professionals (UX research, designers, product managers) and actually practice frameworks in a structured way. The practical approach to the core concepts was a great way to stretch my thinking, and further develop my AI-integrated research skills. We all seem to be trying to figure out AI in a silo, and this course really broke that down. The power of honest discussions really helped me to advance my confidence in owning my AI process within my craft.

    Testimonial author image

    Lauren

    UX research & strategy
  • A great course for any researcher looking to use AI to deepen insights rather than just automate tasks. It offers a hands-on class in integrating AI strategically while respecting its limitations.

    Testimonial author image

    Micaela

    UX Research Leader
  • As a product manager working without a dedicated research team, this course has been incredibly valuable. It gave me a clear, practical understanding of the research process and how AI can be used responsibly to support and complement good research thinking. Ann is an outstanding instructor, with a flexible and supportive approach and is deeply invested in meeting people where they are. The hands on exercises helped me apply new skills immediately, and I am leaving the course with more confidence and a strong library of resources that I will return to for future research projects.

    Testimonial author image

    Sophie

    Product Management
  • Excellent course. If you're looking for ways to thoughtfully integrate AI into your design practice, this is the course for you. I'm a learning designer, and really appreciated the thoughtful way the course was organized to provide an introduction to and then opportunities to practice skills in really concrete, relevant ways. Ann brings a refreshing combination of depth of knowledge and experience, and a continual openness and curiosity to learning new things and adjusting course content as AI technology continues to advance.

    Testimonial author image

    Aaron

    Facilitated Programs Lead

Frequently asked questions

$250

USD

May 28
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