Boba vs Outset

Boba helps strategy and innovation teams run qualitative research, future scenarios, and storyboards from one workspace. You ask research questions, Boba searches the web for articles and news, summarizes earnings calls, and lets you dig deeper on signals before you move into ideation.

Most research chatbots stop at a bullet summary. Boba is wired for generative ideation workflows: scenario building from strategic prompts, Playing to Win strategy choices, and illustrated storyboards you can generate directly from those scenarios. That chain from research signal to narrative artifact is what sets it apart from general-purpose search assistants.

It fits consultants, product strategists, and innovation teams doing foresight work. The site describes Boba as an experiment by Thoughtworks with login for existing users and a waitlist for new access.

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.