Get Access To Entire Site of 50,000+ Designs, Documents & Templates

Start Downloading
  • Beautifully Designed, Easily Editable Templates to Get your Work Done Faster & Smarter.
  • Simply Browse, Search, Save & Download our Easy to use Templates.
  • All Pro Templates include Targeted original Header, Body Content.
  • Instant Download in Any File Format, File Size, Any Time, Any Where & Any Device
  • All in one Value for Money Template Library to Save Money & Time
  • Templates with Royalty Free Images, Fonts & Artworks

How to Make a Survey in Apple Numbers

Surveys are examining the clustering of social phenomena in a certain topic. It is also used to identify group characteristics to follow up on a study. It will require a lot of collecting and recording data through questionnaires and sampling. The collected data can be interpreted into words or numbers and will be used as a concrete and solid answer to the phenomenon. Usually, the data is collected individually but the result will come out as a whole.

In order for you to obtain a precise and successful survey, you need a tool that will do that for you. Apple Numbers is your best choice in making sure that your data is orderly. If you do not have any idea about how to make one, here are useful tips on how to make a survey on Apple Numbers.

1. Prepare Your Survey Question

Your questionnaire is the backbone of your study. It is the main component that you need to have in order for you to conduct your survey. According to the Pew Research Center, perhaps the most important part of the survey process is the creation of questions that accurately measure the opinions, experiences, and behaviors of the public. In formulating your questionnaire, collect feedbacks that are useful to formulate your questionnaire. Determine also which data would you like to achieve based on the goal of your survey. Your questions must not contain any controlling words that can affect the validity of the result. It is preferable also to have choices of answers in your questionnaires to avoid ambiguity.

2. Keep It Simple

Respondents are mostly impatient and lazy to fill out long surveys. Surveys that are beating the bush are also discouraged because it can be very distractive to the respondents. To avoid these circumstances, make your questionnaire logical. Keep it direct to the point and avoid asking multiple questions in one question. Also, avoid formulating biased questions in your training or employee surveys, because it can lead to unbalance feedback of the data. Respondents are also given ample time to accomplish it.

3. Consider Respondent's Language

Words and terminologies must fit for the respondents' level of language. Make words and statements basic and understandable for the welfare of the respondents and to avoid further errors in words.

4. Avoid Survey Formats That Are Incoherent

Yes or no questions and grids are discouraged in making your questionnaire. If including yes or no questions are inevitable in your research survey, rephrase it into a question that results in direct answer. Grid questions are highly discouraged because respondents do not fill their grids based on their true insight into the question.

5. Test Drive Your Survey Questionnaire

In order to prove your questionnaire to be reliable, run a pretest into respondents. You can have 3–5 respondents to take the survey and afterward point out mistakes that are needed to be corrected and revise your questionnaire.

6. Conduct the Actual Survey

Use your revised questionnaire out from your pretest and conduct your sample survey in your actual respondents. Be sure to conduct the survey at the exact time your survey will be conducted.

7. Transcribe and Evaluate Your Data

After the survey, transcribe your data to construe helpful pieces of information for the success of the survey. After synthesizing it, you can evaluate your survey in Google Sheets, but the best option you can do is to open your Apple Numbers application on your desktop and start sorting your data in their easy-to-use and clear features that let you organize your data quickly and accurately. Evaluate your data and conclude the result of your study with the data as your evidence.

More