Survey Researchers

Prepare and present summaries and analyses of survey data, including tables, graphs, and fact sheets that describe survey techniques and results.

AI: Fully automatable - AI can automatically generate tables, graphs, written summaries, and fact sheets from survey data and explain methods, matching human-level output.

Produce documentation of the questionnaire development process, data collection methods, sampling designs, and decisions related to sample statistical weighting.

AI: Fully automatable - AI can produce detailed documentation of questionnaire development, data collection methods, sampling designs, and weighting decisions by extracting logs and applying standard reporting templates.

Monitor and evaluate survey progress and performance, using sample disposition reports and response rate calculations.

AI: Fully automatable - AI can continuously compute response rates, generate sample disposition reports, and flag performance issues in real time, fully automating monitoring and evaluation.

Analyze data from surveys, old records, or case studies, using statistical software.

AI: Fully automatable - AI can run statistical software, perform a wide range of analyses, and generate interpretive output, although complex causal inference may still need human oversight.

Review, classify, and record survey data in preparation for computer analysis.

AI: Fully automatable - Routine review, classification, coding, and recording of survey data are well within current automated data‑cleaning and NLP capabilities and can be fully automated at scale with validation pipelines.

Write training manuals to be used by survey interviewers.

AI: Fully automatable - AI can generate comprehensive, standards‑aligned training manuals and update them from feedback and data, enabling full automated production subject to human review if desired.

Support, plan, and coordinate operations for single or multiple surveys.

AI: Partial - AI can generate plans, schedules, and coordinate many logistical details but still needs human oversight for nuanced stakeholder interactions and exceptions.

Collaborate with other researchers in the planning, implementation, and evaluation of surveys.

AI: Partial - AI can contribute drafts, analyses, and coordination support but cannot fully replicate interpersonal negotiation and domain-expert judgment in collaborative planning.

Consult with clients to identify survey needs and specific requirements, such as special samples.

AI: Partial - AI can conduct intake, propose sampling strategies and requirements based on given objectives, but client relationships and nuanced needs often require human consultants.

Conduct surveys and collect data, using methods such as interviews, questionnaires, focus groups, market analysis surveys, public opinion polls, literature reviews, and file reviews.

AI: Partial - AI can fully automate online surveys, perform automated interviews and literature/file reviews, but cannot fully replace human-led focus groups, sensitive interviews, and field collection in all contexts.

Direct and review the work of staff members, including survey support staff and interviewers who gather survey data.

AI: Partial - AI can assist in reviewing work, providing feedback, and monitoring staff performance through QC tools but cannot fully replace managerial decisions and personnel management.

Determine and specify details of survey projects, including sources of information, procedures to be used, and the design of survey instruments and materials.

AI: Partial - AI can design instruments, recommend sources and procedures using best practices and simulation, yet complex methodological judgments and ethical considerations still require human expertise.

Direct updates and changes in survey implementation and methods.

AI: Partial - AI can analyze survey methodology, propose updates and simulate effects, but implementing changes and making final methodological judgments requires human oversight and domain expertise.

Hire and train recruiters and data collectors.

AI: Partial - AI can automate candidate sourcing, screening, and create training modules, but cannot fully perform interpersonal hiring decisions or hands‑on field training and mentorship autonomously.

Conduct research to gather information about survey topics.

AI: Partial - AI can gather and synthesize literature and secondary data and assist with study design, but conducting primary field research and nuanced interpretation still requires human researchers.