8 minutes read

4 Types Of AI Survey Questions for Analyzing Customer Data

Explore the four types of AI survey questions that can transform your approach to analyzing customer data, featuring sentiment analysis, predictive analysis, natural language processing, and

Dheeraj Kumar
29/03/2024

Can you use AI for surveys, you ask? The answer is a resounding yes! In fact, asking the right survey questions can streamline data analysis. Guess how much time it can save! Well, you needn’t imagine much because AI surveys are the new big thing in the market!

This blog will focus on four types of AI survey questions that will help you get precise customer data.

Off we go!

Let’s start with one question that might be irking in your mind…

Can You Use AI For Surveys?

Let me clear it out straight away. Yes!

And it’s a paradigm shift in how we collect and analyze data. It’s not just your regular surveys, as it employs advanced artificial intelligence technologies to enhance every aspect of the surveying process.

AI surveys are dynamic tools that intelligently interact with respondents. This provides a more nuanced understanding of their opinions and sentiments.

How does it work? By going above and beyond! AI uses intelligent questioning, sentiment analysis, and predictive analytics to analyze and reach precise conclusions easily.

4 Types of AI Survey Questions

Ready to add some extra flair to your surveys? Great!

We’ve broken down this section into four parts, each diving into a specific aspect where AI works its magic. Get ready to explore how these survey questions can transform your surveying experience. Ready?

  • Sentiment Analysis
  • Predictive Analysis
  • Natural Language Processing
  • Data Privacy

1. Sentiment Analysis

Sentiment analysis is almost like having a sixth sense!

It’s the process of determining the emotional tone behind a piece of text – in this case, survey responses. Whether it’s joy, frustration, or indifference, sentiment analysis helps reveal the true feelings expressed by respondents.

It’s like looking at the answers by standing in their shoes. Did you get what I meant? 

Let me make it clear.

AI brings sentiment analysis to the next level by employing Natural Language Processing (NLP) algorithms. It’s like giving your survey a virtual emotional intelligence upgrade. Here’s how AI navigates sentiment analysis:

  • Language Understanding: AI can comprehend the nuances of human language, distinguishing between positive, negative, and neutral sentiments. This ensures a more accurate interpretation of responses.
  • Contextual Analysis: Understanding context is key in sentiment analysis. AI goes beyond surface-level words, considering the context in which they are used. This depth ensures a nuanced understanding of emotions.

How AI Uses Sentiment Analysis in Survey Questions

Let’s see how AI goes about it:

1. Share your thoughts on our recent product update. How did it make you feel?

AI identifies emotional cues in the text responses. It recognizes words that convey positive, negative, or neutral sentiments, such as “excited,” “disappointed,” or “satisfied.”

2. Describe your experience with our customer service in a few words. How did it leave you feeling?

Beyond individual words, AI considers the context in which sentiments are expressed. For instance, it understands that “challenging” in the context of a feature can be positive.

3. Tell us about a feature you love in our app and why. What emotions does it evoke for you?

Same with this AI survey question. By linking features with emotions, this question lets respondents express positive sentiments related to specific aspects of the app.

2. Predictive Analysis

Have you ever wanted to know what the future looks like?

Predictive analysis is like having a strategic compass for your surveys. It uses historical data to make educated predictions about future trends. In the survey context, AI evaluates past responses to forecast what might unfold.

Though it sounds really simple, AI uses sophisticated algorithms. Think of it as a survey strategist! It examines historical patterns to guide future actions.

  • Learning from the Past: AI looks at all the past survey responses, understanding patterns and trends.
  • Spotting Trends: By analyzing past data, AI spots trends and behaviors.

How AI Uses Predictive Analysis in Survey Questions

Let’s take a quick look at three metrics, shall we?

i) NPS Question

“How likely are you to recommend our product to a friend?”

AI checks out past NPS scores to predict if more people will be shouting about your product from the rooftops or if things might quiet down.

ii) CSAT Question

“How satisfied are you with your recent purchase?”

Here, past CSAT responses are looked at. AI then gives you the scoop on whether satisfaction levels are likely to keep rising or if a bump in the road is coming. Who wouldn’t want to know that?

iii) CES Question

“How easy was using our wing feature?”

Again, AI taps into past CES scores to predict if things will stay easy-breezy or if there might be a hiccup.

3. Natural Language Processing

Natural Language Processing is like giving AI the gift of language comprehension. It’s the technology that enables machines to understand, interpret, and respond to human language in a way that feels, well, natural.

  • Parsing the Words: AI breaks sentences into individual words, examining their meanings and relationships. Plus, It analyzes the structure of sentences to discern the grammatical and syntactical nuances.
  • Understanding Context: Context is Key! NLP enables AI to grasp the context behind words. This helps it understand the subtleties that make language rich.
  • Learning Patterns: AI uses NLP to learn patterns in how we use language.

How AI Uses Natural Language Processing in Survey Questions

1. Share your experience with our product. Did it meet or beat your expectations?

This question invites detailed feedback to understand customer satisfaction.

NLP will break down responses, identifying positive or negative sentiments. It checks for specific words to see how and why you liked the product.

2. How can we make our customer support better? Tell us about any challenges you faced.

This question aims to gather insights for improving customer support based on real challenges customers encounter.

AI reads your responses to find out what problems you face. It looks for common issues and checks if you are happy or unhappy.

3. Is there a feature in our app that confuses you? How can we make it easier for you?

With this, you can identify user challenges with specific app features.

Language is broken down to pinpoint confusion or challenges mentioned. AI breaks down what you say to see if there’s anything you find hard to understand. It looks for your suggestions on how we can make it better.

4. Data Privacy

Data privacy is like a protective shield for your personal information. It involves carefully handling, managing, and safeguarding data, ensuring individuals have control over who accesses their information and how it’s used.

Let’s look at how AI approaches data privacy:

  • Secure Data Handling: AI follows strict protocols to handle data securely, preventing unauthorized access or misuse. It doesn’t let just anyone access it.
  • Anonymization Techniques: Employs techniques to anonymize data. Even if someone tries to peek, they won’t understand a thing without the right key.
  • Encryption Methods: AI uses encryption to protect sensitive information. This ensures that even if data is intercepted, it remains unreadable.

Some Data Privacy AI Survey Questions

1. Are you okay with sharing personal details in our surveys? Why or why not?

AI checks why you may or may not want to share personal stuff. It looks at everyone’s answers to see if there’s a common feeling.

2. Do you think your information in our surveys is safe? Any worries or ideas?

AI looks for what you say about feeling safe or worried. It checks if anything makes you feel good or a bit concerned.

3. Do you want more say in how we use your survey information? Why or why not?

AI looks at whether you want more control over your data. It checks why you feel that way so the surveys can be even better for you.

Wrap Up!

Exploring AI survey questions opens a world of possibilities. Now we know how easy it is to make personalized surveys, reach people worldwide, and manage data effortlessly with AI. Using AI for surveys is not a puzzle but a straightforward (but strategic) way to get better insights.

So, use it to its full potential.

Happy exploring!

Conclusion

Probz.ai is an AI-powered qualitative and quantitative insights collection platform that revolutionizes the way businesses understand their customers. With access to over 100Mn Indian users, Probz.ai offers unparalleled depth and breadth in data collection, ensuring businesses can tap into the pulse of their target audience with precision. Whether you're looking to gather sentiment analysis, predictive analytics, natural language processing insights, or ensure data privacy, Probz.ai provides a comprehensive suite of tools to make data-driven decisions easier than ever.

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Dheeraj Kumar

data specialist

Archit has been working in the field of data science since 2018. He has worked with various clients in the field of healthcare, education, and finance. He has worked with various clients in the field of healthcare, education, and finance. He has worked with various clients in the field of healthcare, education, and finance.

Member since Mar 15, 2021

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