About Listen Labs

Listen Labs streamlines customer research by conducting interviews and delivering detailed, actionable reports. This AI-powered platform replaces manual research processes by recruiting participants, moderating interviews, analyzing responses, and providing insights within hours. It accelerates decision-making and enhances research efficiency.

How to Use

Choose a template or upload your discussion guide, recruit participants via Listen Labs or your own panel, and let the AI conduct and analyze interviews to generate comprehensive reports efficiently.

Features

  • Participant recruitment and management
  • Automated interview analysis and reporting
  • AI-moderated interviews for unbiased responses
  • Supports multiple languages for global research
  • Stimuli testing including videos, images, and prototypes

Use Cases

  • Concept validation
  • Creative testing
  • Usability evaluations
  • Brand perception studies
  • Foundational user research
  • Landing page testing

Best For

Product managersUser researchersResearch and insights teamsMarketing professionals

Pros

  • Enables scalable customer interviews
  • Access to a broad participant pool
  • Delivers insights faster than traditional methods
  • AI-driven analysis reduces manual effort
  • Supports diverse research methodologies

Cons

  • AI may overlook subtle insights
  • Requires well-crafted interview questions
  • Possible bias in AI analysis
  • Cost may be a consideration for some users

FAQs

What research methods does Listen Labs replace?
It replaces surveys, focus groups, and in-depth interviews with AI-moderated interviews.
How fast does Listen Labs deliver insights?
It provides actionable insights within hours, significantly faster than traditional methods.
What types of stimuli can I test?
You can test videos, images, and Figma prototypes to gather user feedback.
Does Listen Labs support multiple languages?
Yes, it offers translation and transcription in over 50 languages for global research.
How does AI moderation improve research?
AI moderation ensures unbiased, consistent interviews, enhancing data quality.