persona

Simulating customer interviews involves generating diverse AI persona panels and asking them open-ended questions to explore motivations. The workflow uses agent-separated interviews to deliver structured responses for product research.

Running A/B/C concept tests with AI personas involves applying structured simulations to a generated panel. The system compares ideas across diverse market perspectives and produces executive-style findings for fast decision-making.

Yes, you can generate diverse, differentiated personas to cover broad market perspectives. The panel generation process creates reusable profiles that can be applied across motivations exploration, concept testing, and executive reporting.

Producing executive-style findings from customer research simulations requires running panel interviews and concept tests. The analysis workflow generates cross-tabs and theme-driven reports to guide fast product decisions.

No external dependencies are required to generate AI personas for surveys. The system operates autonomously using integrated scripts, references, and assets to build panels and execute the end-to-end research workflow.

AI personas for customer research should not replace real human feedback when validating final product decisions or targeting highly specific niche markets. They are best suited for early-stage motivation exploration and broad concept testing.