Data Processing
Transform raw field responses into clean, structured, decision-ready outputs — with every processing step documented and delivered on the timeline your project needs.
From raw responses to analysis-ready data.
Every processing step documented. Every cleaning rule transparent. Delivered in the format your analysis team actually needs.
Cleaning & Validation
Standardise and validate responses to protect downstream confidence — removing noise, flagging speeders and straight-liners, reconciling inconsistencies, and reviewing open-ended quality before any analysis begins.
Structuring & Formatting
Prepare outputs for dashboards, analysis teams, and stakeholder reporting. Data delivered in SPSS, Excel, CSV, or dashboard-ready schemas — clearly documented and consistently formatted.
Wave Consistency
Keep data formatting and delivery rules aligned across recurring studies so wave-on-wave comparisons stay reliable. Processing rules documented and reapplied consistently across tracking programs.
Four steps from raw data to final output.
Raw data intake
We receive your raw field output and review completions, open-ended responses, response patterns, and quota compliance before processing begins.
Cleaning and validation
Responses are standardised, duplicates removed, speeders and straight-liners flagged, open-ended answers reviewed, and anomalies reconciled with full audit trail.
Structuring and formatting
Data is restructured into your required output format — SPSS, Excel, CSV, or dashboard-ready schemas — with consistent variable naming and value labelling.
Delivery and handover
Final files delivered with a processing summary that documents every cleaning rule applied, flagging decision made, and format specification used.
Ready to turn raw data into clean, structured outputs?
Share your data and output requirements. We'll confirm the processing approach, format specifications, and timeline — with full transparency on every step applied.