Hireframe

Operations

• Review programmed surveys against questionnaires for accuracy and consistency
• Test survey logic, skips, piping, randomization, quotas, calculations, and respondent flow
• Conduct soft-launch data checks and identify potential programming or fieldwork issues
• Partner with researchers and programming vendors to troubleshoot and resolve issues
• Scan and clean respondent-level data throughout fieldwork and at study close
• Identify poor-quality respondents, inconsistent responses, suspicious open ends, speeders, straightliners, and other data-quality concerns
• Investigate unexpected data patterns and troubleshoot potential programming, sampling, or data-processing issues
• Support recodes, derived variables, banners, crosstabs, weighting, and significance testing
• Review data tables and other outputs for accuracy and consistency
• Populate PowerPoint reports with survey data, including charts and tables
• Check bases, percentages, significance, calculations, and data labels
• Conduct rigorous numerical QC of client deliverables
• Troubleshoot discrepancies across raw data, tables, and reporting outputs
• Prepare clean, analysis-ready data and outputs for research teams
• Serve as a centralized resource for quantitative research quality and technical execution
• Develop and improve standardized processes for program checking, data cleaning, reporting, and QC
• Identify opportunities to automate or streamline repetitive quantitative workflows
• Learn and leverage AI-powered tools and platforms to improve efficiency and quality

Quantitative Research Operations Manager