Data is not valuable or useful when it is skewed, or of low-quality.
Low-quality data derives from respondent bias when answering a question.
Zarca’s intelligent survey software preserves quality survey data through:
- The system validates responses for Numeric Allocation, Open-Ended and Date survey questions and a range of other Data Types (currency, time, units etc.).
Data validation ensures quality survey data from participants (e.g. When entering their age, a participant accidentally adds a zero to 30, yielding an answer of 300. The system recognizes this is not within the specified age range and prompts the respondent to re-enter their age).
- Respondents’ personally identifiable information is not viewable in an anonymous survey. This allows them to be constructive and provide more direct, quality survey data since there is no fear of being viewed negatively by those administering the survey (e.g. Management Critique Survey).
+One Response Per Respondent
- By making a survey type Private, those sent an invitation can only complete the questionnaire once. This prevents instances of “ballot-box-stuffing”, which is the intentional participation of a survey, multiple times, to skew the results in a desired direction.
- When the time of year that a survey is launched has a direct effect on the results it produces, survey administrators are keen to set Survey Expiry Rules, which determine the date a survey is no longer active.
For example, a survey on the winter product line deployed by a clothing retailer should expire no later than early spring because by this time, their customers focus will be on purchasing clothes for the upcoming spring and summer months.