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SurveyMonkey is built to handle every use case and need. Explore our product to learn how SurveyMonkey can work for you.

Get data-driven insights from a global leader in online surveys.

Explore core features and advanced tools in one powerful platform.

Build and customise online forms to collect info and payments.

Integrate with 100+ apps and plug-ins to get more done.

Purpose-built solutions for all of your market research needs.

Create better surveys and spot insights quickly with built-in AI.

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Learn what makes customers happy and turn them into advocates.

Get actionable insights to improve the user experience.

Collect contact information from prospects, invitees, and more.

Easily collect and track RSVPs for your next event.

Find out what attendees want so that you can improve your next event.

Uncover insights to boost engagement and drive better results.

Get feedback from your attendees so you can run better meetings.

Use peer feedback to help improve employee performance.

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Learn how students rate the course material and its presentation.

Find out what your customers think about your new product ideas.

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How to create a random sample in Excel

We get a lot of questions around here about random samples and how to create them (which tells us a thing or two about our customers and how "survey smart" they are). We have a fast, easy trick for you to generate a random sample directly in Excel, but first let’s provide a bit of background about random sampling and why you should use it when you survey.

What is a random sample, you may be asking, and why would you need one? Well let’s say, for example, that you want to survey your customers to understand how you’re meeting their needs and how you could do better. Your whole customer base is a population. You’re obviously not going to survey every single person in this population. Maybe you don’t have all of their contact information. Maybe they won’t all reply to your survey. Whatever the reason, the group of customers you have the ability to contact with your survey is your sampling frame, and the people you actually contact with your survey and who actually fill it out are your sample. You want to make sure that your sample is randomly selected (hence, a random sample) to make sure that everyone in your sampling frame has an equal chance of being selected.

You don’t want to just select a “convenience sample”, the last 20 people who ordered from you, the last 20 customers when they’re listed alphabetically, etc. All of these methods are inherently biased. If you sample the last 20 customers, for example, they may be your newest customers who are only familiar with your most recent products or website design. By generating a random sample, you’re minimising the bias that results from picking a convenience sample from your sampling frame.

This can sound daunting, but you don’t actually need to be a statistician or a mathematical genius to do this. All you need is an Excel spreadsheet. Just put your sampling frame (the customers you have contact info for) into your spreadsheet. Once you have your sampling frame (potential survey respondents) in Excel, you can easily select a random sample of them. For example, if you have 3,000 customers and you would like to select a random sample of 500 to receive a customer satisfaction survey, follow these steps:

  1. Add a new column within the spreadsheet and name it Random_number.
  2. In the first cell underneath your heading row, type “= RAND()”.
  3. Press “Enter”. A random number will appear in the cell.
  4. Copy and paste the first cell into the other cells in this column.
  5. Once each row contains a random number, sort the records by Random_number column.
  6. Choose the first 500 emails. Those will be the random 500 out of 3000 emails.

To ensure that the number of respondents in your random sample is statistically significant, check out this blog post. Random samples make it easy to obtain feedback from a large population for any of the following:

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