Creating an electronic survey can be a valuable tool for gathering feedback, opinions and data from a large number of people. Here are the steps to create an electronic survey step by step:
Define your research objective: Before creating the survey, determine the purpose of the survey and the information you wish to collect. This will help you to determine the questions you will ask and the structure of the survey.
Choose a survey tool: There are many different survey tools available, both paid and free, such as Google Forms, SurveyMonkey, Typeform. Choose a survey tool that best suits your needs, based on factors such as ease of use, cost, and the ability to customize the look and feel of the survey.
Design your survey: Design the structure and questions of your survey. Make sure to keep the questions clear and concise, and avoid double-barreled or leading questions. Use different types of question format such as multiple-choice, open-ended, rating scales, etc.
Pre-test the survey: Before sending the survey to your target audience, pre-test it with a small group of people to make sure that the questions are clear and that the survey is easy to complete. This will help you to identify and correct any issues before the survey is distributed.
Distribute the survey: Once you have completed testing, distribute the survey to your target audience. You can do this via email, social media, or any other method you prefer, make sure to reach a representative sample of your target population.
Collect and analyze data: Collect the responses to your survey and analyze the data using appropriate statistical techniques. Organize and present the data in a way that is easy to understand, such as using charts and tables.
Report and act on the results: After analyzing the data, report on the findings and act on the results. Use the feedback and insights gained to improve your product, service, or process.
Overall, creating an electronic survey can be a relatively straightforward process. However, it's important to remember that the survey design, data collection, and analysis process need to be approached in a scientific and rigorous manner, to ensure that the data you collect is meaningful and actionable.