automotive
AI-moderated consumer research for the automotive industry
Run scalable qualitative research for automotive across OEM products, EV adoption, dealer experience, and in-vehicle UX, without adding overhead.
How Outset powers AI-driven automotive research
From concept validation to ownership experience, Outset gives automotive teams a faster path to insight using AI-moderated interviews and automated synthesis.
Feature Comparison on Autopilot
AI-moderated comparative testing surfaces how buyers weigh feature bundles, trim configurations, and EV versus ICE trade-offs across segments and markets.

Real-World Experience Research
Participants live stream video of at-home vehicle research, dealer visits, and in-vehicle experiences which Outset's Physical Intelligence analyzes for highly contextual, live follow-ups.

AI-moderated research for automotive teams that need depth and speed
By using AI in automotive research, teams can capture buyer and driver perspectives across vehicle segments and purchase stages with consistent, scalable qualitative depth.
Use cases for AI in automotive research
Run complex testing methodologies for automotive experience research.
Purchase Journey & Consideration Research
Understand the triggers, barriers, and information sources that shape vehicle selection across consideration, test drive, and close.
EV Adoption & Barrier Research
Explore range anxiety, charging concerns, total cost perceptions, and brand trust to inform EV positioning and education strategies.
In-Vehicle UX & Infotainment Testing
Test infotainment flows, companion app experiences, and OTA feature rollouts to work out issues before launch.
Dealer & Ownership Experience Research
Explore how purchase, F&I, service, and trade-in experiences shape brand loyalty, NPS, and repeat purchase intent across the ownership lifecycle.
















