Conduct online listening tests with recognised methods, structured workflows and automated analysis for audio product development.
Online listening test platform
SenseLabOnline is a web app for perceptual audio evaluation. It supports organisations that need to run double-blind listening tests online or in lab-based settings with recognised methods such as ITU and ISO templates. The need arises when teams must compare sound quality, listener preference, discrimination or product characteristics in a structured way. Without a defined setup, data collection and reporting can become biased and delay development decisions.
From setup to analysis
The platform covers the full workflow from test configuration and participant handling to online data collection and automated statistical analysis. It is relevant for both new users and experienced specialists working with larger studies. Randomised or controlled stimulus presentation, a neutral user interface and precise audio playback create a controlled basis for evaluation.

Target group and benefits
Support audio and product teams with structured listening tests that generate documented results for comparison and evaluation.
Who the platform is for
SenseLabOnline supports teams working with perceptual evaluation of sound in product development. It is relevant for organisations from startups to global companies and for users ranging from newcomers to specialists designing complex studies. The platform is available in four editions – Light, Standard, Advanced and Enterprise – supporting different needs among teams working with listening tests.
How results are used
The results support practical decisions in development and evaluation work. Teams can review findings any time during a test, use documented outputs for internal comparison and continue with deeper analysis in raw data files. The service is part of our broader catalogue of sound quality services.
Plan your next listening test
Let’s discuss how SenseLabOnline can support your listening tests, participant setup and analysis needs across standard and advanced evaluation tasks.
Standards

