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Up to this point we have looked at seven ways to analyze survey results

Check trends in quantitative data Exclude items that can be answered subjectively and start by looking at quantitative data. For example, let’s say you completed a free trial of a SaaS service and then conducted a survey to find out why people didn’t sign up for a paid plan. Here, 70% of responses said the product was very useful. If the answer is, the analysis could conclude that the reason free trial users do not switch to paid is not product quality. If you first analyze clear strategic data in this way, you will be sure to identify the problem. Determine whether the results are statistically valid No matter how quantitative data is obtained, it is not easy to draw clear, meaningful conclusions. This is because there may be noise caused by mistakes during the survey process. If the response rate is low, it becomes more difficult to draw accurate conclusions. The less data you have, the less likely it is that your results will be statistically valid.

Use the sample size calculator provided by

Hotjar to estimate how many responses are needed to trust the data from our survey. Preparation Korea WhatsApp Number Data of comparison group In order to find the answer we want to get, we need to conduct several surveys in the context of the same question and compare and analyze the results to arrive at the results. Don’t blindly trust what just one survey says. Going back to the example from above, let’s compare a survey of free trial users about why they didn’t switch to a paid plan. We assumed that although the product became more useful in 2020, paid subscriptions still did not increase. This may indicate that rather than focusing on further developing the product, you should focus on optimizing other factors such as customer experience aspects or price. We could also conduct an additional survey on what things, other than product quality, would be good to improve.

When the survey ends here you won’t know the reason

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A question that requires a quantitative answer should be followed by a related qualitative Mexico phone data question. Even though the product was useful, why didn’t I sign up for a paid plan?” Results must be shared. Be sure to share the results of the survey with your team. It is very important for the entire team to be able to gain insights that were previously . Undiscovered and to be aware of what our customers are thinking. However, it is better to visualize the results in a concise manner, such as charts. Graphics, or infographics, so that the results can be quickly understood. You may share the analysis without analyzing questions with low response rates or items that you determine are invalid. Because it has no meaning. The most important thing is why you did this survey and what you wanted to know from it. When analyzing the results of a survey, we must be aware of errors in correlation and causality.

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