Maintaining response quality

Maintaining response quality

Low-quality response data can skew the results of market research surveys. Survey fatigue and rushed answers can wreak havoc on data quality, resulting in an unreliable final dataset.  While it's impossible to completely shield surveys from this noise, there are certain practices we can follow to limit its effect on our data.

Tighten up screening: Refine entry questions by using disqualification logic.

Use the timer feature: Pose timer constraints on your surveys to prevent both speed-runners and mindless responders.

Deploy survey logic: Create smart paths using survey logic to avoid inconsistencies.

Spot checks: Integrate attention-checker tests as an antidote to survey fatigue.

Password restrictions: Include password protection to your surveys to limit responses to a particular group.

Limit repeated participation: Prevent multiple responses from a single respondent by enabling response restriction.

Enable captcha: Evade automated software responses by enabling captcha in your surveys.

Validate data formats: Apply strict validation for different data types like text, number, email, and date.

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