Low-Quality Data is Meaningless
	Surveying can arm your organization with actionable insights on critical 
	issues. However, surveys are not an exact science. 
	
	There are numerous biases and errors that surveys are susceptible to. If not 
	properly accounted for, these inaccuracies can make the data you collect 
	worthless and your entire research initiative pointless. What good is survey 
	data if you are unable to draw valid insights from it?
	
	Zarca’s Remedy
	Our platform is fully designed to help survey administrators eliminate 
	instances of low-quality data. Surveys have an anonymity feature that 
	promotes honest, unfiltered feedback. For numerical question types, our 
	system can validate responses to check if they fall within reasonable 
	parameters. To eliminate skewed results from participants casting multiple 
	responses to a survey, Zarca also offers private key surveys that ensure 
	each respondent completes only one survey. 
	
	In this section:
	Data validation
	Extract best-of-breed data with Zarca’s intelligent survey software.
	
	Statistical validity
	Choosing a random population and including a clear margin of error are 
	survey research best practices. 
	
	GIGO-proof data
	“Garbage-In-Garbage-Out”. If the data you collect is suspect, then the 
	insights gathered from that data will also be suspect. 
	
	Anonymity
	In some cases, participants will give better feedback to a survey when they 
	know their responses won’t be linked to their identity.

 
  
  
  
  
		




