No question: agentic AI is all the rage right now. I'm spending time every week building out my own agentic workflows. But synthetic focus groups are a critical component of AI fluency that every leader needs in their toolkit, regardless of where they are on their AI journey.
And here's the speed problem most leaders haven't solved yet: they're still waiting weeks to get feedback on their ideas. Every week they wait is a week of lost ground. The ones pulling ahead don't wait at all.
The Reality
Synthetic focus groups are not a replacement for real people.
They are a force multiplier for leaders who know how to think.
For $20 a month, you effectively have 20 people sitting in a conference room 24/7/365, ready to pressure-test your ideas on demand.
No recruiting. No scheduling. No incentives.
What used to take weeks now takes minutes. That's not incremental, that's a different game. And if you're still playing the old one, you're leaving speed, clarity, and competitive advantage on the table.
Consider this: a traditional focus group runs $8,000 to $15,000 for a single 90- to 120-minute session. You're getting the equivalent, on demand, around the clock, for $20 a month.
Where This Gets Powerful
Most people think the advantage is speed. That's only half the story.
The real edge is what you can test before anything hits the real world, and what you're losing every time you skip that step:
Pricing strategies
Messaging angles
Product concepts
Positioning against competitors
Here's what makes this personal for me.
Leadership Recall is built around tuning your Learning Operating System, specifically your Intel Gathering efforts. When your system is dialed in, the right Intel finds you.
My Intel Gathering system surfaced a short AI-focused video about Stephan Pretorius, the CTO of WPP, one of the world's largest ad agencies. Under his leadership, WPP was already using synthetic focus groups at scale. The moment the video ended, I sat down and started building my first synthetic focus group with AI for my Leadership Recall book project, and was up and running in a few minutes.
That's Leadership Recall in the wild.
I used synthetic focus groups throughout the writing of Leadership Recall, testing concepts, pressure-testing frameworks, and stress-testing ideas at every stage. And I was running human focus group feedback in parallel the entire time. Synthetic for speed. Human for depth. Both running together: that's the hybrid model in action.
I didn't manually build each persona. I asked ChatGPT to generate a prompt for the ideal number of personas, spanning multiple industries, men and women, Gen X, Gen Y, Gen Z, and professionals who identified as leaders and operators. Then:
It built the prompt.
I refined it.
I ran it.
Fully formed 20-person focus group, ready in minutes.
What continues to amaze me is the nuance. We are essentially splitting one AI personality into 20 distinct voices. Each one responds differently. Each one pushes back differently. The signal is far richer than you'd expect.
Do you want to see it in action as I tune the title of this post and put my synthetic focus group to work in this short demo video?
The Counterintuitive Edge
Here's what most leaders are missing entirely.
Synthetic groups can model hard-to-reach audiences that traditional focus groups almost never capture:
Fortune 500 executives
C-suite leaders
Niche populations
These groups often leave a massive digital footprint: earnings calls, industry forums, public commentary. AI can simulate their preferences without the logistical headache of recruiting them.
The research backs this up:
Stanford researchers simulated over 1,000 individuals with impressive accuracy.
Bain & Company reports synthetic research cuts testing time in half, at a third of the cost.
PwC is using synthetic customers to model buying behavior before products ever hit shelves.
The realism gap is closing faster than most people think. And while it closes, the leaders who figure this out first will be operating at a level the rest are still trying to chase down.
But Here's the Catch, and This Matters
Synthetic focus groups are not truth. They are direction.
AI is designed to be agreeable. Present a weak idea with confidence and it will validate it. Serious sources agree: synthetic groups are exceptional for early-stage thinking, and dangerous for final decisions.
The right move is simple.
Use synthetic groups to think faster. Use real humans to decide smarter.
Synthetic: speed, scale, iteration. Human: depth, nuance, reality.
That's where the leverage lives. Skip either half and you're either too slow or flying blind.
Pro Tip: Treat your first synthetic focus group as a pressure test, not a verdict. Stress-test your assumptions, then validate with real people before you commit.
Your Challenge This Week
Every day you don't run this is a day your competition might. Here's exactly how to start:
Build one synthetic focus group based on your ideal customer, who they are, what they care about, what keeps them up at night
Ask your AI platform to build the full prompt, it's already a prompt engineer, let it do the work
Review it. Modify it. Run it.
Save it as a project inside a paid plan so you can return to it, refine it, and use it again and again
Watch what comes back.
The room you've been trying to fill is already waiting.
And once you experience it for yourself?
It feels like cheating.
⚡ Bonus: Behind the Scenes, How This Post Was Built
I highly leverage multiple AIs when I orchestrate content, and this post is a good example.
Research Layer
Manus + Perplexity + ChatGPT: pulled and synthesized the research
Capture Layer
Wispr Flow: AI-powered voice dictation used to speak all key points directly into Notepad. Wispr Flow uses AI to clean up your speech for more precise output. No keyboard. Just thinking out loud and capturing it fast.
Drafting Layer
ChatGPT + Claude: each wrote independent drafts, then critiqued each other's work
Decision Layer
Final editorial pass: I selected the best elements, made my own calls, and finished in Claude
Final Quality Control (Non-Negotiable)
Read Aloud browser extension: I listen to every post, drafts and final version alike, before it publishes. Hearing it read back forces me to experience it exactly the way a reader would. If something doesn't land out loud, it doesn't make the cut.
Grammarly Pro: The final polish layer. It fine-tunes what's been written, catching pro-level details that even a strong editorial pass can miss.
The principle: AI does the heavy lifting. You stay in the decision seat.
This is what Human-Centered, Technology-Enabled execution actually looks like in practice: not a demo, not a concept. A real deliverable, built with real tools, in a fraction of the time.
Know Someone Who Needs This Edge?
You probably know a handful of driven leaders who would put this to work immediately. Share the web post directly, as forwarding the email tends to lose the formatting and break the experience. The leaders around you get sharper, and so does your network.
That's a win worth passing on.
Your focus group is ready. Are you?
Steve Kahle | ELITE OPERATORS
In Pursuit of Elite
P.S. Want to supercharge your Learning Operating System, so you capture insights instead of losing them? Get a copy of Leadership Recall at no cost.
In Pursuit of Elite is a high-signal newsletter for top-tier leaders, focused on elite-level execution, advanced learning systems, and AI as a force multiplier for sharper decisions and stronger results.
