Every respondent is custom-recruited for the specific study and verified against professional and identity data before fielding. Depending on the project, verification can include LinkedIn or work-email confirmation, third-party identity checks, single-use survey links, IP and metadata checks, and human review.

Yes. NewtonX recruits to the exact audience definition—not from a fixed panel—using criteria such as industry, company size, function, seniority, geography, and relevant experience. This approach is designed for senior, specialist, and low-incidence B2B audiences.

Timing depends on the audience, methodology, sample size, and questionnaire complexity. For a standard survey, programming and testing may take about 2–3 business days, followed by roughly 5–6 business days of fielding once the brief and questionnaire are approved. We confirm feasibility and a project schedule before launch.

Quality control starts before fielding with respondent verification and secure, single-use survey links. During and after fielding, we check for speeding, straightlining, failed attention checks, inconsistent responses, and gibberish open ends, with human review where needed.

Pricing is tailored to the requirements of each project, including audience specificity, sample size, methodology, geography, incidence, timeline, and the level of analysis or reporting required. A NewtonX team reviews your brief and provides a feasibility assessment and project quote.

Deliverables are defined during scoping and may include a cleaned respondent-level data file, topline findings, cross-tabs, analysis, visualizations, a written report, or access to NewtonX Hub for ongoing analysis and segmentation.

NewtonX combines custom B2B recruiting, respondent verification, research expertise, and technology in one workflow. AI helps our teams search, field, and analyze more efficiently, while researchers remain accountable for study design, quality control, and interpretation.

NewtonX follows SOC 2 and GDPR-aligned security and privacy practices. Data is stored in secure cloud infrastructure with encryption, access controls, and secure data-transfer protocols; client-specific requirements can be addressed through the appropriate agreements and security review process.