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Choosing the right type of questions to gather quantitative and qualitative data

When designing a survey, there are two main types of data you can collect: quantitative and qualitative. Quantitative data is numeric in nature. It can be statistically analyzed. It is used for more confirmatory analysis. In other words, when you already have established ideas, quantitative data is best used to confirm these ideas. The types […]

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Improving Likert scales one question at a time

Claim offer Customer Satisfaction: everything you need to know Customer satisfaction is a core metric for companies. Satisfying customers has a number of benefits on the overall business, such as increasing loyalty and encouraging word-of-mouth. Customer interactions take place on an increasing number of channels, on which customers are more and more demanding. Measuring customer

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Net Promoter Score (NPS) can be invaluable to your company

One of the best forms of advertising is word-of-mouth. When your customers love your products and services, they will tell their family and friends about them. Personal recommendations carry a level of credibility that traditional advertising often cannot match. Consumers tend to trust the opinions of people they know, making positive referrals incredibly valuable for

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4 factors that could be impacting your customer satisfaction survey response rate

When administering a customer satisfaction survey, your response rate should be of utmost concern. The better your response rate, the less non-response bias you’ll have. The less non-response bias, the better your data and subsequent findings will be. A low response rate can skew your results and make it difficult to determine whether the feedback

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Why it’s not always best to have required questions on your survey

Having required questions may seem like a great idea. After all, requiring questions can help to ensure you have a complete data set. In other words, requiring respondents to answer questions can reduce the likelihood of having missing data. For many survey creators, completeness equals quality. When every field is filled in, analysis appears cleaner,

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