Decibl vs Listen Labs
User research is one of six. Not the only one.
Book a Demo →Listen Labs is purpose-built for AI-moderated user research. Decibl covers user research as one of six use cases — and adds real-time scoring, training scenarios, and candidate screening on the same platform.
Feature Comparison
Listen Labs is great for…
- Dedicated UX research workflow built around interview best practices
- Strong synthesis tools — tagging, themes, and insight clustering
- Research-specific output formats (highlight reels, affinity maps)
- Deep integration with research repositories like Dovetail
Where Decibl Wins
Multi-purpose platform
User research is one of six Decibl use cases. The same platform also handles training, screening, and compliance — one tool, one bill.
Real-time rubric scoring
Decibl scores every session against a defined rubric immediately after it ends. Listen Labs focuses on synthesis, not scoring.
Simpler setup
Write a prompt, share a link. No research workflow configuration, no repository integration required to run your first session.
Training use case included
Decibl can train your UX team on interview technique in the same platform they use to run interviews.
Honest Take: Who Should Use Which?
Your primary job is running and synthesising user research at scale and you need dedicated tagging, themes, and repository integration.
You want AI interviews as part of a broader platform — alongside training, screening, and scoring — without managing multiple tools.
See the difference for yourself.
Takes 5 minutes to set up. No calls to schedule, no software to install.
Book a Demo →