Tag Archives: online survey tools

8 Even Better Ways To Designing Online Surveys Without Questioning Yourself

Surveys are very powerful tools that help you figure out how to market and what your market really wants.  You can improve your decisions, by simply following this process:

1.       Establish survey goals:

First off, be very specific on what you are trying to find out. Be sure to write out your goals.

  • What do people think about your web page?
  • Is your target audience business owners?
  • Are they part of small businesses or large companies?
  • Where do they hang out most online?

2.       Decide who your sample audience will be:

Ask the following people to go through your survey:

  • People that visit your home page
  • People that visit your product page
  • People that read your newsletters
  • Get the word out by putting up your ads in Ezine.

3.       Decide which survey method going to use:

There are various choices of survey methods that range from the least expensive to the most expensive ones.

  • Personal Interviews – You can use your online survey tool to conduct phone interviews.  Instead of having the respondent fill out the online survey, you use the online survey as a discussion guide and you write in the answers to the questions.  This is a terrific method to use if you are doing exploratory research or have a longer survey.
  • Standard online surveys – This is the most common survey type.  Remember to keep your questions short and sweet.  Don’t let your audience spend more than 3 minutes answering your survey.
  • Mail – This method is rarely used.  It’s often expensive and doesn’t offer as much control as other methods.  The most common application is to send respondents a postcard with a link to an online survey or to print the link to your online survey on receipts or invoices or other forms of printed marketing materials.
  • Telephone surveys – This method has also become increasingly difficult because of do-not-call lists.  It’s generally expensive but can be effective if you are contacting customers who have opted in to receive information from you or with whom you have a relationship.

4.       Carefully plan out your research:

Once you know the method of survey you’ll be using and who you’re surveying for, you’ll need to:

  • Build a timeline for how long it’ll take from the survey design to the data analysis.
  • Estimate the cost involved.

5.       Design your survey:

Write your survey based on the survey method you’ve decided to use.

DO NOT try to make your survey all things to all people.  Remember, respondents will not want to spend more than a few minutes at a time answering questions.  Instead of breaking up a long survey into sections, consider breaking your sections into individual surveys.

6.       Pre-test analysis:

Carry out a pre-test analysis of your survey before the actual test. Pretesting helps determine if the survey is easy for the audience to understand, whether they’ll be able to successfully fill it out and whether there are any problems that are likely to occur. Remember, you may even need to rewrite the survey.

You can initially decide to pretest your survey to around 15 to 20 people, who you are fairly sure would respond (these could even be friends or family). At the end of the test, you’ll have a number of results what will tell you how your survey will perform with a larger number of audience, as well as the faults in the survey.

7.       Test:

Carry out the actual test once you’re done with the pretest. Collect and organize the data in an ordered format.

8.       Analyze your survey:

If the information you are using is quantifiable, you will be able to analyze it using statistics. However, you may need to dedicate sometime to learn how to use statistics first. And if you are well experienced in the use of statistics, you’ll want to develop a more qualitative survey based on basic reasoning and inferences.

Overall, your goals will shape out the questions to your survey and the answers to those questions will determine how your marketing plan should be, as well as the strategies you should employ.

 

 

 

4 Measurement Scales Every Researcher Should Remember

One of the standard features offered by QuestionPro’s online survey software is a wide variety of scales that you can use to measure customer response.

At a first glance all the different scales that might seem similar and easily replaceable by each other. However, as you study them in depth, you realize the diversity of their natures and differences in their uses and their findings. There are over 20 different types of scales that are used by researchers in online surveys.  They can be categorized in two classes – comparative scales and non-comparative scales.

There are a number of factors you might consider when deciding on which scales to incorporate in a questionnaire and which ones to use while analyzing data. Some of the factors are:

  • The type of data that is required from the respondent – ratio, interval, ordinal or nominal.
  • How the information will be used once it is acquired.
  • Number of divisions in the scale – odd or even.
  • Types of statistical analysis methods to be used after data is acquired.
  • The physical form of the scale – vertical, linear, horizontal, etc.
  • Details to be provided in the scale as labels.
  • Whether or not response to a question is mandatory.

Since non-comparative scaling techniques are easier and simpler to understand, we’ll introduce to you the most important four scales. You’ll be delighted to see how easy it is to understand and use them. Those who already know about it them are encouraged to comment on the post and let us know any tips that might further help our readers in using these scales.

1.     Graphic Rating Scale

A graphic rating scale, also known as a continuous rating scale usually looks like the figure drawn above. The ends of the continuum are sometimes labeled with opposite values. Respondents are required to make a mark at any point on the scale that they find appropriate. Sometimes, there are numbers along the markings of the line too. At other times, there are no markings at all on the line.

2.     Likert Scale

A Likert scale typically contains an odd number of options, usually 5 to 7. One end is labeled as the most positive end while the other one is labeled as the most positive one with the label of ‘neutral’ in the middle of the scale.

The phrases ‘purely negative’ and ‘mostly negative’ could also have been ‘extremely disagree’ and ‘slightly disagree’.

3.     Semantic Differential Scale (Max Diff)

A semantic scale is a combination of more than one continuum. It usually contains an odd number of radio buttons with labels at opposite ends.   Max Diff scales are often used in trade-off analysis such as conjoint.

MaxDiff analysis can be used in new product features research or or even market segmentation research to get accurate orderings of the most important product features. The SurveyAnalytics platform help’s you discriminate among feature strengths better than derived importance methodologies. Like other trade-off analyses, the analysis derives utilities for each of the most important product features which can be used to derive optimal products, using market segmentation to put respondents into groups with similar preference structures, or to prioritize strategic product goals.

You can have your respondents perform Forced-choice nature of the tasks, where in SurveyAnalytics MaxDiff can disentangle the relative feature importance in cases where average Likert-style ratings might all have very similar ratings.

4.     Side-by-Side Matrix

Another very commonly used scale in questionnaires is the side-by-side matrix.  A common and powerful application of the side-by-side matrix is the importance/satisfaction type of question.

First, ask the respondent how important an attribute is, then ask them how satisfied they are with your performance in this area.  QuestionPro’s logic and loop functions also allow you to run through this question multiple times with other alternatives that the respondent might consider.  This yields benchmark data that will allow you to compare your performance against other competing alternatives.

Here is an example of data from an importance/satisfaction question.  The importance rating is the line and the performance ratings are the bars.  With this type of data, you can actually see where your company needs to increase its efforts to more closely meet the needs of the customer.

While there are many online survey tools and online survey software to choose from, you’ll find that not all of them have these different types of scales available to them.

As you’re designing your survey, be sure to offer a variety of scales.  Using different scales in your survey will engage the respondent more fully and prevent them from clicking the highest, lowest or middle rating all the time.  Another benefit to using different kinds of scales in your survey is that each scale provides you a unique perspective on the data that you are analyzing.

Before designing your survey, review the different types of scales and question types inside of your online survey tool and be sure to pick the one that will best help you make your decision.