What gets checked
This is survey data cleaning services and data hygiene applied to every dataset before it reaches you: fraud detection and duplicate removal, straight-line and speeder identification, and open-end responses reviewed for actual quality, not just word count.
How it's built
Beyond removing bad responses, data is weighted so results reflect the real population, not just who happened to respond that wave. For studies needing precise demographic alignment — age, gender, region — RIM weighting brings the sample in line with known targets across multiple variables at once, not just one at a time. Open-ended responses go through verbatim coding, converting free text into structured categories your analysis can actually use.
What you get
- Fraud detection and duplicate removal before data is finalized
- Weighting to population or custom targets, including multi-variable RIM weighting
- Verbatim coding for open-ended responses, done by trained coders
- A clean dataset ready for analysis, not a raw export you have to fix yourself
Why This Matters
A dataset that "looks fine" can still be quietly wrong — a few speeders inflate a metric, an unweighted sample skews a segment. Catching this before delivery means the number you present is the number that holds up when someone checks it.
Need this data visualized before you present it? Interactive Dashboards