Survey Results

A collection of 3 posts

What is a Survey and What Types of Surveys are Qualitative vs. Quantitative?
  • 5 min read
  • Survey

What is a Survey and What Types of Surveys are Qualitative vs. Quantitative?

If you’re new to the world of creating surveys, you might have a few questions about what a survey is and different types of surveys. At SurveyPlanet, we give you the tools you need to create any survey. We also want to help you understand how to create better surveys that serve your distinct purposes. Read below to learn more about surveys and what makes them qualitative vs. quantitative. What is a Survey?A survey is a method that gathers information from a select sample of people. You then use the responses from surveys to gain insights and data that enable you to draw conclusions about a subject. In a survey, the sample size represents a larger population. There

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5 Survey Analysis Tips to Glean Better Insights

5 Survey Analysis Tips to Glean Better Insights

Congratulations on finishing your survey with SurveyPlanet. Now that you’ve gathered the responses, it’s time to analyze them. Whether it’s been a few weeks or a few months since you last revisited the survey, it’s always a good idea to refresh your memory of your survey’s goals and purpose. Look for the most valuable result you are trying to find the answer to and keep this in the back of your mind as you analyze. If you come across relevant data, you will recognize it much sooner. To start analyzing your survey, click on the export results button to export your survey results into your favorite format like Excel. SurveyPlanet Pro offers several other export

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What Do I Do With My Survey Responses?

What Do I Do With My Survey Responses?

Congratulations, you just finished collecting responses from your survey! Now what? Gathering responses was only the first step. Not only does SurveyPlanet make creating surveys easy, but also exporting and interpreting the data. Learn what to do with your survey responses after you collect them with our tips below. Clean Your DataBefore you start diving deep into data analysis, it’s important to clean out your data. Cleaning your data eliminates any outliers that may throw off your final results. It also helps ensure all your data is relevant and from a real person, not a bot. When combing through your answers, look out for the following warning signs: Fast Completion Times – You should know the average time it takes

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