TryMe Insights
Practical guides on testing products, reading consumer data, and making claims you can stand behind.
Why consumer-perception scores get gamed, and how to fix it
Star ratings are easy to inflate. We use a Bayesian Truth Serum approach: testers rate a product and predict how others will rate it, which surfaces the honest signal. Here is how it works and why it matters for your claims.
How many testers do you actually need?
The honest answer depends on your confidence level and margin of error, not a magic number. Try our sample size calculator and read the rules of thumb for read-and-react product tests.
Consumer-tested vs clinically-tested: what you can legally say
The two are not the same, and the FTC treats them differently. What consumer perception testing can and cannot substantiate, and how to word claims so they hold up.
Test the concept before you manufacture
The cheapest test is the one you run before tooling a single unit. How survey-only concept testing with a matched panel de-risks a launch, and what to ask.
Stop asking "what would you pay?"
Stated willingness-to-pay is unreliable. Randomized real-price offers reveal an actual demand curve. Estimate the impact with our ROI calculator.
Category benchmarks: is your score actually good?
A 4.2 means nothing without context. As our matched-panel corpus grows, we benchmark every result against the category so you know where a product truly stands.
Want the data on your product?
Run a structured test with real, skin-matched consumers and get a decision-ready report.
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