Right now, most researchers are defending tasks.

• Running studies.
  
• Synthesizing artifacts.
  
• Producing findings.
  

The problem: those are the parts of the role AI can accelerate or automate.

Which means the argument you’re making about your value is the wrong one — and it’s a losing argument.

If your role is framed around execution, it'll be seen as replaceable.

If your role is framed around judgment and decision impact, it won’t.

This 2-hour live workshop gives you a practical framework for reframing your role in terms leaders understand.

Inside the session, you’ll:

• Identify which parts of your work are automation-vulnerable.
  
• Separate execution from judgment.
  
• Reposition your role around business impact, not research output.
  
• Explain your value in business terms PMs, executives and recruiters understand.

This is not abstract philosophy or feel-good platitudes.

You’ll leave with a structured way to describe what you do — and why it matters — in a way AI cannot replace.

What this workshop IS.

I designed this workshop for researchers who can feel the ground shifting underneath their role. Those who:

• Know their value goes beyond running studies but aren’t sure how to articulate that.
• Are tired of defending execution-level work that PMs want to use AI to do.
• Want to influence decisions, instead of only documenting them.
• Feel pressure to pivot — but suspect the right move isn't abandoning the profession.

If you do good, rigorous research, but worry it won’t be seen as business-critical in the near future — this workshop is for you. — this workshop is for you.

What this workshop ISN'T.

There’s no shortage of AI hype right now, so let me be painfully clear that this workshop is not:

• An AI tool demo.
• A prompt engineering tutorial.
• A "future-proof your career" panic talk.
• A motivational speech disguised as strategy.

It does not treat automation as a threat to fight — or a miracle to worship.

It treats it as a shift to understand.

What you’ll get instead is grounded, organizationally realistic guidance focused on how decisions actually get made inside companies — and where researchers create leverage inside that reality.

This is about strengthening judgment, ethics, and decision impact. Not amplifying fear.

UX research isn’t disappearing — it’s evolving.

And the researchers who thrive will be the ones who frame their value differently.

What you'll walk away with.

By the end of this workshop, you’ll be able to:

• Identify which parts of your role are automation-vulnerable — and stop leading with them.
• Separate execution from judgment in your own work — clearly and defensibly.
• Reframe your role from “research executor” to decision-impact advisor.
• Articulate, in plain language, what you do that AI cannot.
• Explain your value to PMs, executives, and recruiters in terms they actually care about.
• Position your work around business risk, trade-offs, and decision quality — without compromising research ethics.
  

This is a working session — not just another lecture.

You won't just listen — you'll actively:

• Map your current responsibilities against automation risk.
• Separate the tasks you perform from the judgment you provide.
• Identify where your work reduces decision risk.
• Rewrite how you describe your role — in terms leaders actually understand.
• Leave with a sharper way to describe your contribution in meetings, reviews, and interviews.

You’ll leave with a clearer professional narrative — and the words to defend it. Worksheets included.

Why this matters NOW.

As AI accelerates research output, organizations assume they’re becoming safer.

In reality, they’re becoming faster at making mistakes.

More data, more output, more confidence...but not necessarily better decisions.

And those mistakes are getting expensive.

What organizations increasingly need are researchers who can slow things down at the right moment and say:

• “We're asking the wrong question — and here’s why.”
• “The numbers look strong — but here’s the risk we’re ignoring.”
• “The data is clear. The situation isn’t.”

That kind of judgment becomes more valuable as automation increases, not less.

In environments where speed rises and trade-offs become political, someone has to protect decision quality.

That’s where researchers can lead — if they frame their role correctly.

Yes, AI is changing the mechanics of research.

BUT — the future of UX Research is NOT about competing with AI, fighting for relevance, or proving your worth over and over again.

It’s about becoming someone your organization relies on when the shit hits the fan and everything’s uncertain.

That role isn’t disappearing — it’s becoming steadily more important. And it’s built through deliberate choices — the kind this workshop will equip you to make.

This workshop helps you stay grounded in what doesn’t change — and step more confidently into what does.