What We're Researching
We're running a paid study to understand how people navigate common digital tasks and questions. Your feedback helps us evaluate clarity, usability, and overall experience across different scenarios. This research directly informs how everyday interfaces are designed and structured.
How It Works
You will participate in a remote session consisting of a few small tasks and a series of questions. We will ask you to navigate specific prompts and provide open feedback on your experience. Throughout the 20-minute session, you will share your thoughts on what works well and what could be improved. You will submit your responses and feedback entirely online.
Who This Is For
We welcome general consumers and everyday internet users who are comfortable sharing their opinions openly. You should be familiar with navigating standard digital interfaces and answering structured questions. We welcome individuals from a wide variety of backgrounds and professions.
What You'll Do
Complete a set of small digital tasks independently
Answer structured questions about your experience
Provide open, honest feedback on task clarity and usability
Share your thoughts openly throughout the 20-minute session
Who Should Apply
Comfortable completing online tasks and answering questions
Willingness to share open and honest feedback
Basic familiarity with navigating everyday digital interfaces
Compensation
$20 one-time
Ready to participate?
Start your paid interview now
About Terac
Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets.
Learn more at or on YouTube at @jointerac.
Terac is building the world's largest pool of vetted human experts for AI. The company serves researchers, AI labs, and product teams by providing infrastructure to recruit, screen, and pay study participants across industries, languages, and skill sets. Terac facilitates research initiatives focused on improving AI systems, such as content evaluation and quality assessment tools. Their platform enables organizations to access qualified human experts for AI training and evaluation purposes.
