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Terac logoTeracVerified· Posted 19h ago

Skincare Consumers: 45-Minute Interview on Product Choices

Type
Per-task
Location
Remote
SkincareBeauty ProductsConsumer HabitsPersonal Care
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About this role

What We're Researching

We're running a paid study on personal skincare routines and how consumers navigate the current beauty market. Understanding how individuals select products and build their daily regimens helps us identify trends in brand loyalty and product efficacy. This research directly informs how skincare offerings can better meet consumer needs.

How It Works

You will participate in a 45-minute AI-moderated video interview from your computer or smartphone. During the session, you will be asked to walk us through your morning and evening skincare routines step by step. You will also discuss your favorite brands, how you discover new products, and what factors influence your purchasing decisions. The conversation flows naturally as the AI moderator asks follow-up questions based on your unique experiences.

Who This Is For

We are looking for individuals who maintain a regular skincare routine and actively purchase beauty or grooming products. We welcome skincare enthusiasts, everyday consumers, and anyone with a dedicated regimen for managing their skin health. You should be comfortable speaking on camera about your personal care habits and brand preferences.

Responsibilities

  • Walk us through your daily morning and evening skincare routines.
  • Describe the specific products you use and why you chose them.
  • Discuss your experiences with different skincare brands and formulations.
  • Explain how you discover and evaluate new personal care items.

Requirements

  • Maintains a consistent daily skincare routine
  • Regularly purchases skincare or grooming products
  • Comfortable discussing personal care habits on a video call
  • Able to join a 45-minute remote session from a quiet environment
About Terac

A well-funded, well-reviewed newcomer with strong per-study pay and a genuinely simple apply flow. The usual caveat: work depends on active studies matching your field.

AITrainerGigs aggregates this listing from Terac.