Analyzing 6-Point Likert Scale survey responses for in-depth insights shouldn’t be an Achilles heel for you.
Or time-consuming.
Survey data is not that straightforward. It may have textual and numerical data. This requires you to change your strategy during the analysis stage.
We recommend you use a 6-point Likert Scale Chart in this phase.
This visualization is popular among seasoned data visualization experts. And this is because it’s remarkably easy to read and interpret, as you shall see later.
Excel lacks ready-to-go, easy-to-read, and insightful 6-point Likert Scale Charts.
Don’t do away with your Microsoft Excel.
Yes, you read that right.
We recommend installing third-party app (add-ins) to access ready-made and easy-to-decode 6-point Likert Scale Charts.
You don’t want to miss this.
In this blog, you’ll learn:
Before jumping into the how-to guide, we’ll address the following question: what is a 6-point Likert Scale
Definition: A 6-point Likert Scale offers you 6 different options for every question.
This chart can help you narrow your target market’s feelings and opinions.
A six-point scale offers a balanced middle ground for respondents, providing more nuanced feedback than binary options while remaining user-friendly.
With options ranging from disagreement to agreement, it allows for finer distinctions in opinions. This scale minimizes the risk of respondents opting for neutral choices, encouraging thoughtful responses.
Its versatility accommodates various survey types, striking a balance between granularity and simplicity. Researchers find the six-point scale conducive to statistical analyses, offering a broader spectrum of data without overwhelming respondents.
Check out some of the examples below.
We’ve listed practical examples below to help you get started quickly.
Let’s dive in.
How often do you take a bath with our shower gel?
Do you recommend our brand to your friends and family members?
How is our new pasta sauce?
You love the new features in our customer relationship management (CRM) software.
In the ensuing section, we’ll take you through a 6-point Likert Scale analysis.
You don’t want to skip this.
Start by visualizing your data using a Likert Scale Chart.
We’ll show you this part in the upcoming section.
The minimalist design of the Likert Scale Chart implies your analysis will always be straightforward.
That said, there’re key nuggets of information to check for in your 6-point Likert Scale visualization. They’ll help you focus on the hidden insights into your data.
We recommend you start with the overall rating for your survey topic.
Accessing this insight may require you to visualize your data with Likert.
Positive sentiments are desirable everywhere.
Who doesn’t like to be recognized for an accomplishment?
It really motivates when the audience gives you a big signature of approval. On the other hand, the negative rating shows very important insights.
Essentially, you can learn what needs to be improved to increase customer satisfaction.
Ideally, the urgent issue is the red zone, which screams problems or danger. The second most important zone is the neutral (gray zone), as you shall see later.
We recommend you take note of the gray area-neutral sentiments.
It’s very easy to ignore this part.
This middle ground is incredibly crucial. You want to know why people are sitting on the fence. Once you know their key concerns, create strategies to tilt them to the green zone””your side.
So, how can you plot a 6-point Likert Scale chart?
Excel is one of the popular visualization tools among business owners. However, it lacks ready-made Likert Scale Charts with up to 6 levels.
We’re not advising you to do away with Excel.
There’s an amazingly affordable tool that comes as an add-in you can easily install in Excel to access ready-to-go 6-point Likert Scale Charts.
The application is called ChartExpo.
What is ChartExpo?
ChartExpo is an add-in you can easily install in your Excel to access a ready-made and visually appealing 6-point Likert Scale.
This section will use a Likert Scale Chart to display insights into the survey responses below.
Let’s get started.
Questions | Points | Rating |
The software I wanted was easy to find | 1 | 324 |
The software I wanted was easy to find | 2 | 176 |
The software I wanted was easy to find | 3 | 230 |
The software I wanted was easy to find | 4 | 270 |
The software I wanted was easy to find | 5 | 0 |
The software I wanted was easy to find | 6 | 138 |
The checkout process was easy | 1 | 186 |
The checkout process was easy | 2 | 176 |
The checkout process was easy | 3 | 230 |
The checkout process was easy | 4 | 270 |
The checkout process was easy | 5 | 0 |
The checkout process was easy | 6 | 138 |
The software solved my needs | 1 | 186 |
The software solved my needs | 2 | 176 |
The software solved my needs | 3 | 500 |
The software solved my needs | 4 | 5 |
The software solved my needs | 5 | 100 |
The software solved my needs | 6 | 146 |
I am happy with my purchase | 1 | 116 |
I am happy with my purchase | 2 | 420 |
I am happy with my purchase | 3 | 320 |
I am happy with my purchase | 4 | 290 |
I am happy with my purchase | 5 | 47 |
I am happy with my purchase | 6 | 30 |
To get started with ChartExpo in Excel, follow the steps below:
A 6-point Likert Scale offers you 6 different answer options tied to the objective of the survey.
Survey respondents are given 6 options each time they encounter a question. This chart can help you narrow your target market’s feelings and opinions.
A 6-point Likert Scale Chart uses up to 6 levels of agreement/disagreement in each survey question to measure values, perception, attitudes, knowledge, and behavioral changes.
On the other hand, a rating scale is a chart you can use to visualize ratings, such as in e-commerce stores.
Analyzing survey responses for in-depth insights should never be a time-consuming affair for you.
Survey data is complex and may have textual and numerical data. This calls for a change in your strategy during the analysis phase.
We recommend you use a 6-point Likert Scale Chart in this phase.
This visualization is popular among seasoned data visualization experts, especially when extracting actionable insights from survey data.