Usability Testing

Usability testing is the practice of giving real people real tasks in a product and watching where they succeed, struggle, or give up. The goal is to find usability problems in the design itself, ideally before launch, rather than guessing or waiting for customers to complain.

It comes in two main forms. Moderated testing has a facilitator guiding the session live. Unmoderated testing lets participants complete tasks on their own, which scales more cheaply. Both are usually remote now.

What you learn depends on what you capture. Click data alone tells you where people went. Adding think-aloud voice tells you what they expected, and adding facial reaction tells you how they felt at each step. The richer the signal, the clearer the why behind the behaviour.

OpenScouter sits in the same category as Maze, Lyssna, and UserTesting, but it is built differently. Those tools mostly record clicks and screen sessions. OpenScouter captures three streams at once, interaction, think-aloud voice, and facial reaction, and uses AI to correlate them, so each test explains the why behind the behaviour, not just the what.

The cost structure is different by design. Incumbents are built around large managed panels and per-seat enterprise contracts, and that overhead lands in the price. OpenScouter lets you bring your own testers or use a recruited panel, on flexible on-demand pricing, so you pay for the studies you run rather than seats you might not use. Deeper signal at a lower cost per study, because the operating model is leaner, not because the research is thinner.