Most researchers aren’t afraid of being replaced by AI.
They’re afraid of being ignored.

Budgets are shifting. Timelines are shrinking. And teams want answers faster than any traditional study can deliver. That doesn’t mean researchers are out. But some methods are. There’s a new layer in between, where AI panels like Lakmoos come in.

We’re not here to replace quant or qual. We’re here to make both stronger.

Transcription tools and summarizers speed up what’s already been asked. But they don’t ask. They don’t simulate audiences. And they don’t rescue the insights you never had time to run.

AI panels are different.
They act like synthetic populations, testing ideas, comparing choices, mimicking behavior. When built right, they don’t just write text. They generate insight you can trust.

This article is about that difference and what it means for the future of research.

AI is no longer an add-on. It’s a mindset shift in how research is planned, executed, and scaled.
Read a practical guide we wrote for Planung&analyse.

🧮 For Quant Researchers: Not Just Faster. More Complete.

If you run quant studies, you know the drill: precise design, rigorous fielding, clean data. But what about:

• The question that comes up after fieldwork closes?

• The niche segment that’s too small to recruit?

• The directional test someone needed yesterday?

AI panels fill these gaps. You can run a dry test, validate wording, simulate a missed segment, or rerun an idea in minutes. You stay in control, but now you’re working with a co-pilot who never sleeps and never needs a panel provider.

Why it matters:
AI panels don’t replace samples. They reduce missed opportunities. They make space for iteration. And they give quant leads new power to explore early, fast, and often—without risking data quality or rigour.

In a feature on Marktforschung.de, our own Dr. Otto Hellwig explain how Lakmoos built a “miniature version of the population.” He explained that our neuro-symbolic approach supports the full research decision chain from quant to qual by delivering fast, valid insights without fieldwork overhead.

🎙️ For Qual Researchers: A Tool for Thinking, Not Just Talking

If you do qualitative research, you know how rich and messy the work is. Context matters. Nuance matters. You follow threads, not just answers.

So when you hear “AI panel,” your first thought might be: This can’t do what I do.

You're right. It can’t. But here’s what it can do:

• Simulate personas before a group or IDI

• Pressure-test guide questions with synthetic voices

• Help clients pre-hear the unspoken objections

• Catch gaps before fieldwork begins

• Synthesize open-ends when time is tight

You’re not replacing the conversation, you’re extending it. AI panels help you sharpen your focus, defend your guide, and align teams before you’re in the room. In other words: better prep, clearer buy-in, stronger outcomes.

What if you could test your next campaign, product, or policy idea not just with today’s customers, but with the customers you'll be serving in 2030? AI panels make that possible. By combining behavioral data, foresight inputs, and synthetic segmentation, you can simulate how emerging generations, tech adopters, or climate-conscious consumers might respond to your offer, before they ever show up in your sales funnel. Whether you're in telco, energy, mobility, or retail, future-proofing starts by asking better questions today. Lakmoos lets you do that, with synthetic audiences designed for what’s next, not just what’s now.

🧠 Humans Still Lead. AI Just Clears the Noise.

Whether you’re working in numbers or narratives, your job isn’t just to collect input. It’s to make meaning. That’s not something AI can replace and it’s not something Lakmoos tries to automate.

Where human researchers shine:

• Deciding which questions actually matter

• Making sense of contradictory inputs

• Judging what’s useful, not just what’s true

• Framing insight in a way that moves teams

AI panels don’t replace that. They prepare for it. They unlock early signals, fill in blind spots, and give you something to push against. We’re not asking you to hand over the steering wheel. We’re giving you better maps.

💡 Lakmoos Works Because It’s Built for Researchers

Most AI research tools are designed for marketers, not methodologists. They look flashy but fall apart under scrutiny.

At Lakmoos, we took a different path:

• Neuro-symbolic models that reason, not just generate

• Transparent segment construction

• Mixed-method outputs: quant-style metrics + qual-style open ends

• Controls for stability, replicability, and logic

We don’t pretend synthetic users are real people. We model them—so you know when to trust the output and when to dig deeper.

For quant:

Run a past survey through an AI panel. Compare the signals. See what you missed—or what you didn’t need to ask in the first place.

For qual:

Take your next IDI guide and test it with synthetic respondents. See what they say, revise your approach, and head into fieldwork more prepared.

🧭 Research isn’t dead. But the gaps around it are shrinking.

Quant is still king when scale matters.
Qual is still queen when depth counts.
But now there’s a new layer: faster, cheaper, directional.
AI panels don’t replace you, they help you lead with more clarity, more often.