Real people in China, matched to your research brief
We hand-pick and personally screen participants, requesting relevant evidence to verify their experience. From connected-EV owners to smart-device users and AI early adopters, we recruit research participant for your project’s specific requirements.
No generic panels No synthetic AI participants Only real, verified people
Our user research recruitment network covers China from north to south and east to west.
Hard-to-find people. Precisely recruited.
We turn demanding briefs into precise recruitment criteria. Our team tracks down niche audiences, checks what candidates actually do and resolves gaps before anyone is confirmed. You get a carefully selected group with the experience your research depends on.
Human-led recruitment
From a precise brief to the right people.
Recent EV owner
Primary driver · 6 months
Connected-feature user
Daily cockpit & app use
Household vehicle user
Shared access to vehicle
Experienced EV owner
Primary driver · 2 years
Smart-cockpit enthusiast
Primary driver · 1 year
Define the people your research needs
We turn your research brief into precise participant criteria, defining the experience, behaviours and decision-making roles that matter to your study.
Define the people your research needs
We turn your research brief into precise participant criteria, defining the experience, behaviours and decision-making roles that matter to your study.
Together, we agree the essential requirements, locations, quotas and exclusions. We distinguish what someone owns from how they use it, and who makes the decisions from who simply shares access. You get a clear definition of who qualifies before recruitment begins.
Build a screener that reveals real experience
We build a project-specific screener that tests what people actually do, with questions about recent experiences, frequency of use and purchase decisions.
Broad labels such as “tech-savvy” or “fitness enthusiast” tell us too little. We ask candidates to describe their routines in their own words, then use follow-up questions to uncover the details that distinguish your target audience.
Find candidates through specialist networks
We combine our internal panels with specialist communities, owner networks and targeted outreach to reach the niche audiences your project needs.
Premium whisky buyers, committed yoga practitioners and PC gaming enthusiasts gather in different places. We choose the sourcing channels around your audience, then put every candidate through the same project-specific checks, including people already in our panels.
Verify experience with relevant evidence
We request and review evidence of the ownership, activity or experience your brief requires, checking that it supports each candidate’s answers.
Depending on the study, this can include product photographs, purchase records, app screens, activity histories or a short demonstration. A photograph may confirm possession; regular use needs more context. We request only relevant evidence and ask candidates to obscure unrelated personal information.
Personally screen every candidate
We speak with candidates directly to probe their experience, clarify inconsistencies and confirm they can contribute to the research.
Our conversations explore specific recent experiences and the decisions behind them. We compare what candidates tell us with their screener responses and supporting evidence, resolving gaps before confirming eligibility. We also check that they understand the tasks, format and time commitment.
Select the right group for your study
We hand-pick the final participant group against your agreed criteria, balancing the perspectives and experiences your research needs.
We review eligible candidates together, checking quotas across relevant factors such as location, brand, experience level and usage patterns. Each person must meet the essential requirements and bring the perspective their place in the group is intended to represent.
Understand what happens when people use your product.
See how Recap connects real users’ experiences, AI-assisted analysis and original research evidence.