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We transform raw research data into clean, analysis-ready datasets through structured cleaning, validation, and documentation—so your teams can move faster with confidence.
Our team handles open-end coding, recodes, derived variables, weighting (when required), de-duplication, multi-source merges, and cross-platform standardization across CATI/CAWI/CAPI and mixed-mode studies.
You receive final datasets plus codebooks and change logs—built with rigorous QC, confidentiality, and repeatable standards for tracking and large-scale studies.
We receive your raw data files and questionnaire, review structure and completeness, and agree the processing specification—file formats, variables, and outputs required.
We apply range and logic checks, de-duplication, outlier review, and speeder/straightliner checks where relevant. All edits are documented for transparency.
Open-ended responses are coded into structured categories using a coding frame. We create recodes and derived variables and apply consistent variable and value labels.
Where required, we weight the data, merge multiple sources or waves, and standardize structures across CATI, CAWI, CAPI, and mixed-mode studies.
After final quality checks, you receive cleaned datasets in CSV, Excel, SPSS, or STATA with codebooks, a processing summary, and tab-ready files.
Get clean, analysis-ready datasets with complete documentation.
Robust validation and audit trails that protect data quality.
Standardized coding, labeling, and harmonization across sources.
Faster reporting and smoother analysis for your internal teams.
Let's get started — Book a 30-minute discovery call.
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Need reliable data before you analyze and report? Our team can clean, validate, and structure your data so insights are based on a solid foundation.