Recruit the people your project requires, then capture voice, video, screens, images, reactions, and real-world interactions. Combine the right audience with the right method to create human data grounded in authentic behavior and experience.

Studio-quality examples and synthetic scenarios cannot capture every accent, device, environment, behavior, or interaction. Real people introduce the variation AI systems eventually have to understand.
Accent, language, expression, tone, terminology, and communication style vary across people and contexts. That variation matters when systems need to understand real users.
Lighting, background noise, devices, connectivity, physical settings, and interruptions change what systems encounter outside controlled test conditions.
How people navigate, react, explain, correct themselves, and complete tasks produces context that scripted examples can miss.
Recruit the right people, then combine the capture methods that fit the work. Projects can include voice, video, screen activity, think-aloud feedback, real-world tasks, and structured human responses.
Collect spoken responses, conversations, think-aloud feedback, or task-based audio from people matched to the audience your project requires.
Capture people explaining, reacting, demonstrating, or completing tasks on camera when visual behavior or context matters to the work.
Record people navigating websites, applications, prototypes, AI experiences, or other digital workflows while they complete realistic tasks.
Understand what people notice, expect, question, and decide while they complete a task rather than relying only on the final outcome.
Ask people to complete activities in their own environments, devices, workflows, or contexts when realism and natural behavior matter.
Combine audio, video, screen activity, written responses, structured feedback, and other methods in a study designed around the AI or business question.
Start with the audience the work requires, from broad consumer populations to technology professionals and specialized experts. Then choose the combination of voice, video, screen, task, or feedback methods that fits the project.
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Multimodal projects can involve voice, video, screens, and other personal data. Participants are recruited and consented for the specific activities involved, with project requirements defined during scoping.
Participants understand the recording or data-collection activity before they take part, including the types of interactions or media involved.
Customer materials and study data stay scoped to the engagement rather than being pooled into a shared commercial dataset.
Additional recruiting, consent, and handling requirements can be addressed when projects involve sensitive audiences, content, or environments.

Describe the audience, activity, environment, and type of human input your project requires. We can help determine the right recruiting approach, capture method, and level of managed support.
Depending on the study, projects can include voice, video, screen recordings, spoken feedback, task interactions, images, written responses, and combinations of these methods.
Yes. Participants can be targeted by demographics, behaviors, professional attributes, industry, role, skills, and other project-specific criteria, with custom recruiting available for specialized audiences.
Yes. Many studies can run in participants' real environments and on their own devices. Exact device or environment requirements should be defined during scoping.
Yes. Studies can capture people completing tasks with AI-powered experiences, including screen activity, spoken or written feedback, and think-aloud reactions where appropriate.
Yes. Domain professionals can be recruited to demonstrate workflows, complete tasks, or explain the judgment they use, depending on the project.
Potentially. Professional Services can support studies involving existing content or AI outputs, with the methodology, participant requirements, and data-handling approach scoped to the project.