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AI for Designers · live online workshop

AI training for UX researchers: a month of interviews sorted into patterns, with a quote behind every one

Bring this week’s study and set up a process that turns transcripts into findings you can defend, each backed by a participant’s own words.

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AI for Designers · live online workshop · bring the study you’re running this week

Where your week goes

The interviews are the part you love. The weeks of tagging, clustering and rewriting findings for different audiences are where a study stalls.

Set up in the workshop

Synthesis after a round of interviews

Now: A stack of transcripts sits in a folder, and affinity mapping eats the week you’d planned for the next round.

With AI: Every transcript comes back sorted into patterns, each with the quote and session it came from, so you check sources instead of moving sticky notes.

Set up in the workshop

Readouts and stakeholder summaries

Now: You write the full report, then a slide version for product, then a summary for the exec who won’t open either.

With AI: Your findings become a readout and a summary for each audience, drafted from conclusions you’ve already reached.

Set up in the workshop

Defending findings before the meeting

Now: The product lead’s first question in the readout is the one you hadn’t prepared for, and the finding loses the room.

With AI: Before the readout, AI plays your product manager, engineering lead and exec, so you hear the pushback first and answer it on the slide.

Next, with the same method

Discussion guides and screeners

Now: Every new study starts from last quarter’s guide, edited until it half fits the new research questions.

With AI: Your research questions become a draft guide and screener in your team’s format. It’s the thinking you use on users, turned on your own process.

What you’ll set up

You set it up live on the study you bring, and it runs on every study after.

  1. Visualize

    Brief AI once on the study.

    You brief AI once on the study: the research questions, who you spoke to and what the team must decide, so nothing comes back generic.

  2. Automate

    AI drafts the readout and plays your stakeholders.

    AI sorts transcripts into patterns with receipts, drafts the readout and plays your stakeholders. You make every call on what the research means.

  3. Optimize

    Your study folder remembers every finding.

    Your study folder keeps each finding with its evidence, so next quarter you ask what you already know before booking a session.

Example finding (illustrative)

Pattern: people trust the price only after they’ve seen the delivery date.

Evidence: P3, P7 and P11. “I don’t care what it costs until I know when it comes.” (P7, 14:02)

The brief works because AI reads it before every task, so it keeps your whole study in view. Building your own tools too? Read Claude Code in designer terms. You set it up in AI for Designers.

Every Design Match landing page used to take me months. Now I research, write and ship one in a day with AI, the way I taught PepsiCo’s designers to work.

Danielle Thompson, founder of Switchboards

Questions

Is this an AI course made for UX researchers?

No. It’s AI for Designers, my live online workshop for designers, and its first step sorts research into patterns with a quote behind each one. You build it on your own study.

Will AI make up quotes or patterns?

Every pattern comes back with the quote and session behind it, and a pattern without one is thrown out. You check the rest against the transcript.

What about participant privacy and consent?

You choose what goes in, so names and identifying details stay out, and the work runs in the AI tools your company already approved.

Will this replace the interviews?

No. AI wasn’t in the room and didn’t hear the pause before an answer. It takes the hours after each session.

Hear the next date first.

Live and online: your study sorted into patterns, your readout drafted and your stakeholders rehearsed.

Joining the waitlist is free, and you’ll hear the next date first.