AI SURVEY QUALITY AND RESEARCH DATA QA
Review survey quality with the evidence.
Check questionnaire routing and survey response quality using study-specific rules and AI-assisted flags. Give researchers record-level evidence for each review decision.
For fieldwork, panel operations and market research teams responsible for sample quality.
THE OPPORTUNITY
Survey & response quality.
A clearer way forward.
Quality issues appear in different places: survey routing, contradictory answers, low-effort verbatims and repeated patterns across records. An automated score is only useful when the team understands why a response was flagged.
What we build
We combine deterministic rules with AI-assisted checks appropriate to your study. The workflow collects the evidence for each flag, separates technical failures from respondent concerns, and gives reviewers a clear queue.
THE DELIVERABLE
Outputs for your
research team.
Questionnaire routing, instruction and consistency review criteria
Respondent-level quality checks with explainable flags
A researcher review report with reasons and supporting response data
Documented thresholds, overrides and decisions for the final analysis sample
POSSIBLE WORKFLOWS
Applications in
research delivery.
Illustrative examples. The final scope depends on your methods, systems and data.
- Questionnaire routing and instruction checks before launch
- Open-text relevance and low-effort response flags
- Cross-question consistency and duplicate-pattern review
COMMON QUESTIONS
Before we begin.
Can AI detect survey fraud?
AI can help identify patterns that warrant investigation, but a flag alone does not establish fraud. A defensible process combines several signals and documented human review.
Do you check questionnaires as well as responses?
Yes. A scoped workflow can review instructions, routing, terminology and potential inconsistencies before fieldwork, then apply agreed checks to the collected data.
Will respondents be removed automatically?
Exclusion rules are agreed with your team. The default approach is a review queue with evidence and a recorded decision.
A useful next step
Tell us about
your research.
Describe the study, the research workflow and the output your team needs.
Prepare a research brief