Elis
HEARD is an AI-driven customer interview platform that enables any team member to launch a research study in about 10 minutes and interview hundreds of customers within hours. The system conducts conversational interviews that adapt in real-time, supports testing of live websites and Figma prototypes, and automatically generates synthesized insights including summary reports, quotes, and quantitative graphs.
- Data & Analytics
- Artificial Intelligence
- AI Agents
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Traditional customer research methods are time-consuming and resource-intensive, requiring skilled researchers to conduct interviews that take weeks to complete. Surveys often fail to capture the depth and context needed for meaningful product decisions, and scaling qualitative research across a team is impractical with conventional tools.
Solution
HEARD provides an AI-driven customer interview platform that lets any team member launch studies in about 10 minutes, interview hundreds of customers in just a few hours, and view synthesized insights instantly. The system conducts conversational interviews that adapt in real-time based on participant responses, collects deep contextual feedback beyond survey capabilities, and automatically analyzes results to surface top themes, relevant quotes, and quantitative measures. The platform supports testing of live websites, Figma prototypes, images, and videos during interviews—letting participants interact with stimuli and provide feedback in context. Trained by real user researchers, HEARD uses a fine-tuned model with unbiased, open-ended questioning to deliver insights on par with in-person interviews.
Target Audience
Primary users are product managers, designers, marketers, and UX researchers at technology companies who need fast, scalable customer qualitative insights without dedicating days to manual interview coordination and analysis.
Features
- AI-moderated conversational interviews that adapt follow-up questions in real-time based on respondent answers
- Learning optimization engine that improves question quality based on patterns from past interviews
- Study builder with ready-made templates, learning-goal translation, and AI-suggested questions
- Participant recruitment via shareable weblinks, a single line of in-product embed code, or integrated panel access powered by User Interviews
- Stimulus testing capabilities supporting Figma prototypes, live websites, images, and videos during sessions
- Automatic insight generation including summary reports, extracted user quotes, quantitative theme graphs, and a chat-based Q&A feature for custom data exploration
- Proprietary fine-tuned model for user research validated by experts, plus options for custom AI training and an insights algorithm