Speeder detection identifies respondents who complete a survey too quickly to have read and answered thoughtfully. It is one of the most important data-quality checks in online and CATI-supported research, but it works best when timing rules are calibrated to survey content rather than applied as a blunt universal cutoff.
Speeding occurs when a respondent finishes the survey, a page, or a task at a pace that suggests low attention or non-human behavior. Strong systems evaluate total LOI, page-level dwell time, grid completion speed, and open-end response time.
A 5-minute survey and a 25-minute conjoint study require different standards. Timing thresholds should reflect reading load, task complexity, device type, language, and the number of open-ended or visual stimulus questions.
Speed alone should not be the only reason for removal unless the completion is clearly impossible. The strongest approach combines timing with straight-lining, attention checks, duplicate signals, open-end quality, and screener consistency.
CatalystMR reviews response timing as part of a broader quality framework, using survey-level and question-level timing to flag suspicious respondents before data delivery. This protects clients from fast but unreliable completes while avoiding over-removal of legitimate fast readers.
CatalystMR supports online panel, CATI telephone interviewing, healthcare sample, and respondent validation workflows for difficult research targets.
Request a Quote →Speeder detection identifies respondents who complete a survey too quickly to have read and answered thoughtfully. It is one of the most important data-quality checks.
A single cutoff can misclassify respondents, so timing should be combined with other quality signals to fairly identify genuine speeders.
Speeding is most reliable as a removal signal when paired with checks such as straight-lining, consistency, and open-end quality rather than used on its own.
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