Survey Programming & Hosting Services

Our Data Processing Capabilities

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.

How We Work?

We program your questionnaire into our CATI system with precise routing logic, data validation rules, quota controls, and soft prompts. Comprehensive testing ensures accurate skip patterns, appropriate response ranges, and seamless interviewer experience before fieldwork launch.

We source or manage your sample list with automated dialing, callback scheduling, and contact optimization. Interviewers receive comprehensive training on your project specifics, question wording, probing techniques, and quality standards through briefing sessions and role-play exercises.

Active fieldwork management with real-time quota monitoring, live call supervision, and interviewer feedback. Supervisors listen to sample calls, provide coaching, and ensure adherence to protocols. We track progress daily and adjust strategies to meet sample targets efficiently.

Rigorous quality checks include call recording validation, back-verification of completed interviews, data consistency audits, and speeder/straightliner detection. We conduct random callbacks to confirm interview authenticity and ensure data integrity throughout the project.

Clean, validated data files delivered in your preferred format (CSV, SPSS, STATA) with complete documentation. Deliverables include disposition reports, quota summaries, call logs, and topline findings. We provide weighting specifications and coding schemes as needed.

Benefits

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.

READY to Turn Insights into Growth?

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Frequently asked questions

01
What does data processing typically include?
Data processing can include data cleaning, validation, de-duplication, open-end coding, variable labeling, recoding, weighting (if needed), and tab-ready outputs.
02
Which file formats do you support?
We commonly deliver CSV, Excel, SPSS, and STATA. We can also work with database exports and provide codebooks and labeled variables for easy analysis.
03
How do you handle open-ended responses?
We code open ends into structured categories using a coding frame, run consistency checks, and deliver both the coded variables and the original verbatims when required.
04
What quality checks do you apply?
We apply range and logic checks, deduping, outlier review, speeder/straightliner checks (where relevant), and spot audits. We document all edits for transparency.
05
What deliverables will I receive?
You receive cleaned datasets, labeled variables and codebooks, a processing summary, and tab-ready files. Optional outputs include toplines, crosstabs, and chart-ready tables.

Talk to our data analytics team

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.