AI focus groups,
grounded in 185 personas.
Klingbar runs an AI-moderated panel on Anthropic Claude, where each seat is a versioned persona file rather than a generic chatbot. You compose the room, the model speaks in each persona's voice, and you read the synthesis in minutes. Same run, same bytes, every time.
Live session · 10 personas
Every seat is a persona, not a prompt
A generic AI panel asks one model to imagine a crowd, and you get one voice wearing different hats. Klingbar works the other way around. Each seat is backed by a separate persona file — a documented profile with its own targeting fields, channel propensity, and a written body that tells the model how that person reasons, what annoys them, and where they push back.
When you run a session, Klingbar builds a fresh prompt per persona on Anthropic Claude: the persona's profile, the stimulus you put in the room, and a moderation frame that instructs the model to answer in character and to dissent when the persona would. The result is divergence you can trace to a specific buyer, not an averaged-out consensus. Browse the full persona library to see who you can seat.
A run you can replay, and reactions you can dig into
Because personas are versioned and immutable, a session is reproducible in a way a live room never is. Klingbar pins the exact persona bytes a run used, so a panel you run today replays against the same buyers next quarter — no drift, no recruiting a new cohort, no wondering whether the result moved because the people changed or the message did.
Inside a session you probe the way a good moderator would. Ask the follow-up, push on a vague answer, and watch where the room agrees and where it splits into dissent. When the synthesis lands, you read resonance, the objections to answer, and the language the personas actually used. It is the same loop behind concept testing — only the panel is on call. For the full walkthrough, see how it works.
When to use an AI focus group, and when to recruit
Be honest about the trade. An AI focus group is faster and cheaper than a recruited panel, and it is reproducible. What it is not is defensible in the way a room of real strangers is — no model run will stand up in front of a board the way a recruited study can. So the line is simple: use a synthetic panel to pre-test, and recruit real people to defend a decision once it matters.
In practice that means you reach for Klingbar across the long tail of choices that never clear the bar for a six-week study — a headline before a sprint review, two onboarding flows, a positioning angle you want to gut-check before you brief an agency. You run it, you probe it, you ship the version that earned the most resonance, and you carry the survivors into a recruited room with a sharper hypothesis and less to waste. If you want the framing without the model angle, the synthetic focus groups page covers the same ground from the research side.
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