See which framing builds clarity without triggering polarization.
Test language in real conversations to see what builds clarity and trust and what triggers pushback across cohorts and regions.
One test shows what to say, to whom, and where, plus the language drivers behind the result. No guesswork. No averages that hide risk.
See which cohorts respond, which are confused, and where meaning changes. Understand what holds up across audiences before you scale.
Some framing creates backlash by pushing cohorts in opposite directions. echo identifies this risk early and helps you rewrite toward clarity and shared values.
Export recommended language, why it worked, and where to be careful. Use it across comms, field scripts, FAQs, and rapid response.
You ask, we answer.
It’s all of them, in conversation. You see how messages are understood, what they trigger, and whether they move intent. All at the scale of a rigorous poll.
We use neutral wording, randomized ordering, and follow-ups that probe reasoning instead of suggesting answers. The goal is to surface what people already think, not plant it.
Yes – segmentation is aggregated by cohort and geography, not tied to personal identities. You get patterns and shifts without exposing individuals.
Start by exploring what echo already knows. Go deeper when you’re ready.