HeyMarvin

HeyMarvin is a pattern recognition tool. Marvin combines a research repository, AI-moderated interviews, an embeddable voice interviewer and cited insight sharing in one platform for research, product and marketing teams.

Marvin is a customer insights platform built around a single research repository. Teams use it to collect feedback, store what they learn, analyze the material with AI assistance, and push findings back out to the people who make decisions. The homepage positions it as AI-native, meaning the analysis and interviewing tools sit inside the repository rather than being bolted on afterward. The product covers four stages. Collection happens through live interviews and Live Intercept, a voice-to-voice AI interviewer that can be embedded inside a digital product so a pop-up can hold a spoken conversation with a visitor. Storage happens in the research repository, which keeps studies, reports and raw material discoverable instead of scattered across drives and slide decks. Analysis leans on qualitative analysis tools plus Ask AI, which lets a team query its own accumulated research. Distribution runs through an insights layer that shares results with stakeholders, with citations attached so claims can be traced back to source. It is aimed at professional research and product organizations: user researchers, product managers, product marketers, designers, consumer insights groups and market research teams. The customer roster includes large enterprises such as Microsoft, Johnson Controls, Best Buy, Morning Star, NRG, Xcel Energy, Staples and 7-Eleven, which suggests the buying motion is team and enterprise level rather than solo practitioner. The pricing page is the place to confirm plan structure; the homepage itself does not publish numbers. Compared with general purpose AI chat tools, Marvin's advantage is that the AI is grounded in a private research corpus rather than the open web. Compared with legacy research platforms, the differentiator is the AI moderator and the embedded voice intercept, which reduce the manual load of running interviews at volume. Teams that only need occasional survey analysis will likely find it heavier than necessary.