AI focus group for SaaS pricing
Run a directional pricing gut-check against a synthetic panel grounded in your own product material before you commit to a number — or run three pricing pages against each other and see which one a panel actually reaches for.
A pricing gut-check before the number goes live.
Pricing is one of the most expensive things to get wrong and one of the slowest to test properly — a real pricing study means recruiting respondents who actually fit your buyer profile, which most early-stage teams don't have time or budget for before a launch date.
thepanelist gives you a faster, directional alternative: paste in your pricing page, your positioning, or a description of your tiers, generate a panel grounded in that material, and ask it directly whether the pricing feels fair, confusing, or mismatched to the value on offer.
Without a fast pricing read
Pricing decisions often get made on instinct, a competitor's number, or a single loud customer's opinion — because a proper pricing study takes longer than most launch timelines allow.
By the time real customer feedback on pricing arrives, it's usually after the price is already live and changing it has its own cost: existing customers to grandfather, a page to redesign, a narrative to explain.
With thepanelist
Paste in your pricing page or tier descriptions, generate a panel of personas grounded in your actual target buyer, and ask directly: does this feel fair, is the cheapest tier confusing, does the top tier justify its price.
You get a directional read in minutes, before the price is public — enough to catch an obviously confusing tier structure or a value gap before it costs you a redesign later.
The gap this closes isn't precision — it's speed. A directional read today beats no read until after launch, for a decision that's usually still cheap to adjust before it goes live.
What to actually ask the panel
Pricing questions work best when they're specific rather than open-ended. "Does this pricing feel fair for what you get" produces a more useful signal than "what do you think of our pricing," because it forces the panel toward a judgment rather than a vague reaction.
Once you have a first read, thepanelist's same-panel follow-up (AskThisPanel) lets you push further without regenerating a new panel — ask why a tier felt expensive, or whether removing a feature from the cheapest plan would change the answer. Each follow-up runs against the same personas, so the answers stay comparable across the conversation.
If you're choosing between two or three pricing structures rather than validating one, thepanelist's trade-off test ranks the options directly and reports how much the panel actually agreed on the winner — not just which option scored highest, but whether that result was a clear consensus or a narrow split.
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