Surveys & Scores
A decision compressed into categories someone chose in advance. The reasoning never fits in the box.
Corvus is the AI qualitative platform built to connectevery conversation to the behavior it is meant to explain.
The Problem
More observation than ever. Still no answer to the question that matters.
A decision compressed into categories someone chose in advance. The reasoning never fits in the box.
Real depth, but scheduled weeks later and disconnected from the behavior itself.
Purchases, usage, journeys. An exact record of what happened, and nothing about why.
The Gap
Teams fill in the blanks with confident guesses.
They churned because we raised the price.
Usage dropped because they got busy.
That spike was the promo, obviously.
They switched because the competitor was cheaper.
They abandoned onboarding because the setup is confusing.
They churned because we raised the price.
Usage dropped because they got busy.
That spike was the promo, obviously.
They switched because the competitor was cheaper.
They abandoned onboarding because the setup is confusing.
The drop-off is a checkout problem, not a demand problem.
That account went quiet because we lost the champion.
They only bought it once because it was a gift.
Engagement fell because their team reorganized.
Our loyal customers stay for the rewards program.
The drop-off is a checkout problem, not a demand problem.
That account went quiet because we lost the champion.
They only bought it once because it was a gift.
Engagement fell because their team reorganized.
Our loyal customers stay for the rewards program.
They cancelled over price, not fit.
That cohort is price sensitive, full stop.
Basket size is down because of the economy.
They picked us for the brand, not the product.
Renewal slipped because procurement was slow.
They cancelled over price, not fit.
That cohort is price sensitive, full stop.
Basket size is down because of the economy.
They picked us for the brand, not the product.
Renewal slipped because procurement was slow.
Friction
Ask closer to the behavior, before context fades and memory reshapes the story.
Open-ended survey fields get one word or nothing at all. People do not narrate their reasoning into a text box.
Research gets scheduled weeks after the behavior it is meant to explain. What comes back is memory and abstraction, not the moment that actually mattered.
Solution
Start with what someone actually did, then have the conversation that explains it.
01
Start with a meaningful purchase, interaction, journey, decision, or change in behavior — something a person actually did.
02
Conduct a personalized voice or video conversation shaped by what that individual actually did, close to the moment it happened.
03
Uncover the motivation, need, circumstance, tradeoff, or experience behind the behavior — following the threads that matter instead of a fixed guide.
Capabilities
Corvus combines behavioral context, personalized conversations, and flexible research infrastructure in one platform.

Every conversation is shaped by what the person actually did — their purchases, their history, their last answer. Because Corvus remembers, returning to the same people compounds what you know.

Trigger conversations from your own systems, then analyze what people say alongside transactions, product usage, surveys, and customer history.

Every conversation lives under your brand, your domain, your voice — not inside a third-party research experience.

Run the same study across voice, video, phone, or text. One study, one conversation, one synthesized result.

Run natural conversations in 30+ languages. People answer in their own words, not in translation.

Pay participants the moment they finish — higher response rates, no manual gift-card chasing.
Who it's for
The same model applies whether the behavior is a purchase, a product interaction, a switch, or a lapse.
Understand the customers, users, and markets shaping your business.
Corvus helps product, insights, strategy, innovation, customer experience, category, and growth teams connect observed behavior with deeper qualitative understanding.
Deliver personalized qualitative research with greater speed, depth, and flexibility.
Corvus gives market research companies, consultancies, agencies, and research teams an AI-first conversation layer they can incorporate into a range of research programs.
Add human explanation to the behavior you already measure.
Corvus helps companies with transaction, usage, audience, panel, customer, and other behavioral datasets speak with the people behind the data.
FAQ
Everything you need to know to evaluate and launch quickly.
Teams responsible for understanding customers, users, and markets — product, insights, strategy, innovation, customer experience, category, research, and growth. Corvus is used across B2B and B2C, and across product, customer, and market research. The best fit is an organization with a meaningful source of observed behavior (transactions, product usage, journeys, engagement history, a panel or community), access to the real people behind it, and an important unanswered “why” question. If you are looking for a survey platform, purely hypothetical concept testing, or fully synthetic respondents, we are not the right tool.
Those tools proved that AI can moderate an interview, and we agree that changes what qualitative research can reach. The difference is what surrounds the conversation. Corvus starts from observed behavior rather than a recruited panel, triggers close to the moment rather than on a research calendar, personalizes each conversation to the individual rather than running one discussion guide across everyone, and returns to the same people over time. A traditional discussion guide moderated by AI is still a traditional study.
It is where Corvus is strongest, but the bar is lower than it sounds. Behavioral context can be a purchase, a product interaction, an abandoned journey, a change in engagement, a support interaction, or simply someone’s history with you. What matters is that something real happened and you can reach the person it happened to. Where richer behavioral data exists, findings can also be connected back to patterns and volume — but that is a capability, not a requirement.
Yes, and that is by design. Every conversation is clearly framed as an AI conversation before it starts, so expectations are set upfront. In practice the transparency makes people more candid, not less — there is no one to impress and no social pressure to be polite.
Typically 5 to 15 minutes. Response quality starts to degrade past that point, so conversations are designed to stay in that window. When one is architected well, that is more than enough time to get to something genuinely useful.
Most start with a single behavior they cannot explain — a segment that lapsed, a switch to a competitor, a journey people keep abandoning. You connect that behavior, Corvus talks to the people behind it, and the first findings come back fast. From there teams tend to move toward something continuous: conversations that trigger automatically as behavior changes, so understanding accumulates instead of arriving one project at a time.
They choose between voice and text at the start of every conversation, so no one is forced into a format. That said, most people are increasingly happy to just talk, and spoken responses tend to be richer and more candid than typed ones.