This AI agent skill integrates the human layer into the AI stack, providing direct access to real human opinions, experiences, and decision-making for any AI agent. It enables AI platforms to comprehensively plan, run, and synthesize user research, encompassing both qualitative interviews and quantitative surveys, all without requiring the agent to leave its current conversation. It can be used for general-purpose research tasks like designing research plans and interview guides, or connected to Cookiy AI for end-to-end studies with real or synthetic participants, delivering evidence-backed reports with codebooks, personas, and prioritized findings.
Características Principales
01Synthesizes raw interview transcripts into evidence-backed reports with themes and personas
02Manages multi-language quantitative surveys with conditional logic and respondent recruitment
035 GitHub stars
04Generates research plans, screening questionnaires, and interview guides
05Conducts AI-moderated qualitative interviews with real or synthetic participants
Casos de Uso
01Design a research plan, screener, and interview guide to understand why users churn after onboarding.
02Transform 20 raw interview transcripts into a structured report with themes and personas.
03Run an end-to-end study on how developers choose CI/CD tools, including AI-moderated interviews and report delivery.
