Our Approach
At GeoPoll, data quality is embedded throughout our workflow. We combine AI tools, platform-level automation, and expert human review to validate responses as they come in, not after the fact.
Here is how we do it:
AI-driven Validation
- Real-time logic checks: Our platform instantly flags suspicious response patterns, such as straight-lining or inconsistent logic.
- Transcript review with AI agents: For CATI surveys, AI agents scan call transcripts to detect deviations from training — such as skipped questions, incorrect phrasing, or poor pacing.
- Speech-to-text analytics: Audio recordings are transcribed and analyzed for hesitation, silence, or non-compliance signals.
Human Oversight
- Daily field monitoring: Our QA teams monitor interviewer behavior, reviewing flagged calls and data.
- Double-layer cleaning: We combine automated flagging with manual logic checks and outlier review.
- GeoPoll QC dashboard: Project leads and clients have access to live quality indicators during fieldwork.
The Result
A system that catches issues early, enables rapid course correction, and ensures you receive clean, valid, and verifiable data, no matter the mode, target population, or timeline.
AI makes our quality process faster and smarter. But trust comes from knowing we never remove the human element where it counts.
Quality controls at every step
Pre Project
- Questionnaire testing
- Verification of translations
- Interviewer training
- Pilot interviews
- Respondent verification
Data Collection
- Call recording
- Quota Management
- Real-time data validity checks
Data Processing
- Automated & manual data control checks
- Data comparison
- Quality dashboards
- Data sanity checks
Reporting
- Clarity & usability assurance
- Correct format
- Editing & proofchecking
- Feedback incorporation
POST PROJECT
- Internal post evaluation
- Client feedback
- Documentation of learnings
Quality Control Processes
GeoPoll’s rigorous quality control processes combine automated and manual checks to ensure that data are scientifically valid and reliable.
Automated Data Quality Checks
GeoPoll's platform employs automated data quality checks, intelligently verifying response ranges while flagging unusual patterns such as straightlining or satisficing. This ensures the integrity of your data, providing you with accurate and reliable insights for informed decision-making.
Quality Control Dashboard
GeoPoll’s Quality Control Dashboard provides a visual representation of survey performance metrics, enabling GeoPoll and our clients to track both survey and individual interviewer performance for CATI and CAPI surveys. We track metrics including completed interviews per day, refusal rates, ineligible rates, and length of interviews, among other statistics.
Manual Data Quality Checks
Before data is delivered to a client, GeoPoll performs manual data cleaning and quality control checks including removing duplicates, identifying outliers, removing nonsense answers, categorizing open-ended answers, and ensuring all answers are coded properly.
Interviewer Training
For CATI and CAPI surveys, all interviewers go through an extensive, project-specific training which includes graded practice interviews, answering difficult respondent questions, and more.
Call Recordings
For CATI, GeoPoll’s Interviewer Application records calls automatically and GeoPoll’s team reviews a percentage of all calls made per project. GeoPoll’s platform also automatically listens to call recordings and flags those with long pauses or little noise for manual review.
Quota Management
We have established an automated quota management system directly integrated into the GeoPoll platform and quality control tools monitor, verify, validate, and manage quotas to ensure that our research captures such a representative sample that it is impossible to obtain manually.