Outset vs Consensus

Outset runs qualitative interviews at survey scale with an AI moderator that listens, watches, and probes in real time. You build a guide, recruit participants or import your own list, and the platform fields hundreds of parallel video, voice, or text sessions. It then synthesizes themes, quotes, highlight reels, and exportable reports without manual tagging.

Survey tools capture what people remember. Traditional qual interviews go deep but cap out at a dozen sessions. Outset targets the gap: dynamic probing tied to audio and visual cues, plus instant synthesis so teams close the say-do gap faster. It also ships Co-Design for real-time concept iteration inside live interviews, which most async survey or transcript-only tools do not bundle in one workflow.

Market researchers, UX researchers, and consumer insights teams at companies like Microsoft, HubSpot, Glassdoor, and Nestle use Outset for concept testing, persona work, brand studies, and usability tests. The platform reports 500,000+ interview hours, 10,000+ studies, and access to 1.1 billion possible participants across 85+ countries with support for 40+ interview languages.

Consensus searches and summarizes peer-reviewed research from a corpus of 250 million-plus papers, including licensed full text from major publishers. Ask a research question in plain language and get cited answers drawn from academic literature, with filters for study design, population, and timeframe applied automatically from your prompt.

General-purpose chatbots guess from training data. Consensus grounds every answer in published studies and shows where evidence agrees or conflicts. Deep Search builds a full literature-review strategy in minutes, the Consensus Meter visualizes agreement on yes-or-no questions, and Medical mode narrows results to about 50,000 clinical guidelines and 8 million articles from the top 1,000 medical journals.

Researchers, students, and clinicians use Consensus for literature reviews, clinical question lookups, and evidence summaries. Over 170 university libraries partner with the platform, and 10 million users rely on it daily. A free tier includes unlimited searches with 10 GPT-4 Pro Analyses per month, while Premium at $11.99 monthly removes those caps.