Leveraging ChatGPT AI for Customer Feedback Analysis

Discover how to harness the power of ChatGPT AI for customer feedback analysis with our practical guide.

Customer feedback analysis

As a small business owner, you know how crucial customer feedback analysis is for the growth of your business. Collecting user feedback is an excellent way to understand what your customers want, how they feel about your products or services, and how you can improve their experience.

But let’s be real; user feedback analysis can be a headache, especially if you don’t have the necessary tools and expertise. That’s where ChatGPT AI comes in. 

In this practical guide, we’ll walk you through the process of using ChatGPT AI for customer feedback analysis. We’ll cover everything from collecting and organizing user feedback to running sentiment analysis and generating actionable insights. 

1. Getting Started with ChatGPT for Customer Feedback Analysis

Customer feedback analytics is critical in understanding where you need to improve as a business, but collecting customer feedback can be a real pain. Mainly because, up until now, the practice was a manual customer feedback analysis. Can you imagine the hours spent?

Luckily, we live in a digital age where everything is becoming increasingly automated and collecting customer feedback shouldn’t be any different—Cue AI tools – ChatGPT in particular.

Why ChatGPT? It’s simple: it’s the newest, hottest AI tool you can use as your cunning assistant to automate almost every task and save you precious time (and money!). 

But is exactly this ChatGPT? Let’s find out.

Understanding ChatGPT and its Capabilities

ChatGPT is a powerful tool for natural language processing that can help businesses with a wide range of tasks, from analyzing customer feedback to automating customer service. Although its main function is to act like a human on the other side of the chat, ChatGPT is a versatile tool. 

Its revolutionary technology makes it look like you’re conversing with a real human. It can answer various questions, create customer surveys, compose essays and emails, and even code and hold a conversation. It can also compose music and write scripts for plays and even movies. 

That said, ChatGPT has serious limitations that should not be ignored. It can provide incorrect – and even harmful – information while sounding very convincing. Also, its knowledge database is limited to September 2021, and data suggests it can be algorithmically biased.  

You need to remember that, however useful and versatile, ChatGPT is just a tool that needs human supervision and should be used as an assistant, not a replacement for a certain job position.

2. Setting Up and Integrating ChatGPT into Your Feedback Workflow

Integrating ChatGPT into your customer feedback analysis process can unlock valuable insights into what your customers think, feel, and want. Imagine being able to automatically categorize and tag customer feedback, identify emerging sentiment trends, or even generate personalized responses to common feedback themes – all in a matter of seconds. 

But how do you set up ChatGPT in your feedback workflow in the first place? 

Simple, ask it. Type into the example prompt below in the chatbox and wait for a response.

How to integrate ChatGPT into our customer feedback analysis process?

ChatGPT prompt

Here is some great ideas ChatGPT self-suggested how to use it:

Integrating ChatGPT into your customer feedback analysis process can be done through the following steps:

  1. Identify objectives: Determine the goals and objectives for using ChatGPT in your feedback analysis process, such as sentiment analysis, identifying recurring themes, or summarizing customer feedback.
  2. Data collection and preprocessing: Collect customer feedback data from various sources like online reviews, social media, and customer support tickets. Clean and preprocess the data by removing irrelevant information, correcting typos, and structuring the data into a format suitable for ChatGPT.
  3. Develop and train custom models: If needed, fine-tune ChatGPT with your domain-specific data to better understand your industry’s vocabulary, context, and customer sentiments. This will ensure more accurate and relevant analysis results.
  4. Automate feedback analysis: Implement an automated system that uses ChatGPT to process incoming customer feedback continuously. This system should be able to categorize feedback based on sentiment, themes, and other relevant criteria.
  5. Generate insights and reports: Utilize ChatGPT to generate summaries, insights, and trends based on the analyzed feedback. Create reports that highlight key findings and recommendations for improvement.
  6. Integrate with other systems: Connect ChatGPT-powered feedback analysis to other systems, such as customer relationship management (CRM) platforms, helpdesk software, or marketing automation tools, to facilitate better customer engagement and support.
  7. Monitor and refine: Continuously monitor the performance of ChatGPT in your feedback analysis process. Gather feedback on its effectiveness, and make necessary adjustments to improve its accuracy and relevance.
  8. Encourage a feedback loop: Use the insights generated by ChatGPT to inform your product development, marketing, and customer support teams. Implement changes based on the analysis, and continuously collect feedback to measure the impact of those changes.
ChatGPT Prompt

Voila – in seconds, you’ll get a thorough and precise answer on integrating ChatGPT into your customer feedback analysis. Amazing right? 

3. Collect Customer Feedback using ChatGPT

As businesses prioritize and measure customer satisfaction, gathering customer feedback has become crucial to any successful customer experience strategy.

Make sure you have collected enough customer feedback so you have enough customer feedback data to get the most out of machine learning and AI technologies such as ChatGPT.

Most people use customer feedback surveys, but EmbedReviews can help you collect quantitative and qualitative feedback in just a few clicks, such as Google and Facebook reviews.

You can also get insightful feedback data from your customer support channels or another feedback process you might have, such as sending review request emails to your customers or you gather feedback from website visitors.

Here is some sampling idea on how to use ChatGPT to create review request messages to help you get responses as reviews from your customers:

Crafting Personalized Review Request Messages

Once logged in to ChatGPT, open a New chat and type:

Create a personalized review request message for a recent customer named John, who bought the product [your product] from the [your brand name] online store.

ChatGPT prompt

The answer will be something like this:

Subject: Share your thoughts, John – Your feedback matters to us at ModernJeans!

Hi John,

Thank you for your recent purchase of Slim Fit Jeans from ModernJeans! We hope you’re enjoying the style and comfort of your new jeans. As a valued customer, your opinion is important to us, and we would love to hear your thoughts on the product.

As a token of our appreciation, once you’ve submitted your review, you’ll be entered into our monthly draw for a chance to win a $50 ModernJeans gift card.

Thank you for choosing ModernJeans, John. Your feedback is crucial to our ongoing commitment to providing the best possible products and customer experience. If you have any questions or need assistance, feel free to reach out to our customer support team at [customer service email address] or [phone number].

Happy reviewing, and good luck in the draw!

Best regards,

[Your Name]

[Your Position]


ChatGPT response

You can see the ChatGPT suggested to use a link to a reviews form and also offer an incentive in a format of a gift card to help you get more reviews.

Remember that the chatbot might slightly change its answer each time you type in a different customer name or product and the same question.

But don’t worry; the core of the answer is the same.

Plus, if you really want to stand out from the competition, you will use ChatGPT as it is – a tool, not a substitute for a good writer on your staff.

Make sure you don’t copy and paste the answer it gives you – rather edit the text, add your brand’s voice and tone, and before everything else – make the text sound human. Robotic and generic-sounding texts only show unprofessionalism, and customers will smell it from afar.

It is important to note that personalized reviews request emails will help build rapport with the new customer and establish longer-term relationships especially if they reply with a review.

Once you have these reviews, you will be able to analyze customer feedback at scale or make some small insights such as net promoter score NPS or find negative feedback quickly so you will be able to act fast to resolve the potential issue at your company.

4. Analyzing Sentiment and Emotion in Customer Feedback with ChatGPT

We bet you didn’t know that you could use Chat GPT for analyzing sentiment and emotion in your customer feedback, did you? Well, great news – you can! Just take a look at our list of prompts for managing online reputation

ChatGPT for Sentiment Analysis

You can steal this prompt from us anytime you need to do sentiment analysis and don’t want to waste time on “manual labor.” You don’t have to use it verbatim as is given here – you can tweak the prompt as much as you like, but make sure the basis stays the same.  

Analyze the sentiment of this review: ‘ I absolutely love my new shoes! They’re so comfortable and stylish.

ChatGPT prompt

Here is the response from ChatGPT:

sentiment analysis

Identifying Emotion and Tone in Customer Reviews

ChatGPT is an incredibly powerful tool when it comes to analyzing customer feedback in terms of identifying emotion and tone in customer reviews. By analyzing the language used in reviews, this AI tool can accurately determine whether the sentiment is positive, negative, or neutral and can also detect the overall emotional tone. 

This information is incredibly valuable for businesses looking to improve their products or services, as it provides insights into how customers feel about their experiences. Once you understand the emotions and tone expressed in customer reviews, you can make data-driven decisions to improve your offer and better meet your customers’ needs.

How many hours have you spent listing a customer review by review to analyze its tone and emotion? With ChatGPT, this task can be done in seconds, so why waste valuable time? Take a look at the following prompt: 

identifying emotion and tone

Another useful feature of ChatGPT for customer feedback analysis is its ability to identify trends and patterns in customer feedback. By analyzing large volumes of customer reviews, ChatGPT can identify common themes and recurring issues that customers are experiencing. 

This information is incredibly valuable for businesses looking to improve their products or services, as it provides insights into the specific areas that need attention.

Discovering Recurring Themes using ChatGPT-Powered Text Analytics

ChatGPT-powered text analytics can even help you discover recurring themes across multiple products or services, giving you a comprehensive view of their customers’ needs and pain points. 

With this information, you can make data-driven decisions to address the most important issues to your customers and improve the overall customer experience. 

Here’s an example of our own research regarding the recurring themes in our customers’ reviews. This is what we typed in:

What are the recurring themes in these reviews:
(and here paste few reviews)

ChatGPT Prompt

And this is the response we got:

Based on the provided customer reviews, the recurring themes are:

  1. Product quality: Customers appreciate high-quality products, such as the Classic Crewneck Sweater and the Eco-Friendly Yoga Leggings. However, there are concerns regarding the stitching on the Slim Fit Jeans, which indicates a need for better quality control.
  2. Fit and sizing: The fit of the Classic Crewneck Sweater and the Eco-Friendly Yoga Leggings is praised, while the sizing for the Summer Maxi Dress is criticized. Ensuring accurate sizing across all products is important to meet customer expectations.
  3. Comfort and material: Customers value comfortable and soft materials, as seen in the positive feedback for the Classic Crewneck Sweater and the Eco-Friendly Yoga Leggings. Prioritizing comfort in product design can lead to higher customer satisfaction.
  4. Product variety: The review for the Eco-Friendly Yoga Leggings suggests that customers desire more colors and patterns. Offering a diverse range of options can appeal to a broader customer base and cater to different preferences.
  5. Responsiveness to customer feedback: Customers expect their feedback to be taken seriously, as seen in the review for the Slim Fit Jeans and the Summer Maxi Dress. Addressing concerns and improving products based on customer input can build trust and foster loyalty.

ChatGPT Response

Notice the numbered list ChatGPT provided, making it super-easy to analyze and create tables in Google Sheets or Excel so you can have the analysis all in one place.

6. Responding to Customer Feedback using ChatGPT

With ChatGPT, you can analyze and respond to customer feedback. Once you analyze the sentiment and tone of customer reviews, you can tailor your responses accordingly, ensuring that they address any concerns or issues customers raise.

This helps build a positive relationship with customers and improve overall customer satisfaction.

Prioritizing and Addressing Critical Feedback

You can even ask ChatGPT to prioritize certain reviews to give responses to the feedback. Like this:

Which of these reviews should be prioritized for response?

“I recently purchased the Classic Crewneck Sweater and I absolutely love it! The fit is perfect, and the material is soft and comfortable. The color also stays vibrant after multiple washes. Keep up the great work!”

“I bought the Slim Fit Jeans last month, and while I like the overall style and design, I noticed that the stitching on the pockets started to come undone after just a few wears. I hope you can address this issue in future products.”

“I’m a huge fan of your Eco-Friendly Yoga Leggings! The fabric is stretchy yet supportive, and I appreciate your commitment to using sustainable materials. However, I wish you offered more colors and patterns to choose from.”

“The sizing for the Summer Maxi Dress is a bit off – I usually wear a size medium, but it was too tight around the waist. I had to exchange it for a large, which fit better but was a bit too long. Please consider revising your size chart to be more accurate.”

ChatGPT Prompt

And you’ll get an answer something like this:

ChatGPT prioritizes which reviews to respond to first

Crafting Personalized Responses with ChatGPT

And finally, you can copy this next prompt and include your reviews and respond to any customer review quickly and in a personalized manner.

Help me reply to this Google review:

“I bought the Slim Fit Jeans last month, and while I like the overall style and design, I noticed that the stitching on the pockets started to come undone after just a few wears. I hope you can address this issue in future products.”

ChatGPT prompt

And here is an example of a Google reviews response that ChatGPR generated for the previous prompt:

Google review response by ChtaGPT

In case you receive tons of online reviews, you can try the EmbedReviews functionality with AI-powered review responses.

7. Leveraging Customer Feedback Insights to Improve Your Business using ChatGPT

Improving and growing your business is all that this is about, right? An AI tool like ChatGPT can help you learn more about enhancing your business by analyzing the reviews.

Enhancing Your Products and Services

We used ChatGPT to feed in some customer reviews, and based on the following prompt, we wanted to collect opinions about product improvement based on the reviews.

Based on the customer feedback in these reviews how can we improve our product?

ChatGPT Prompt

This is the practical advice we got from ChatGPT for improving the products based on some Google reviews:

Product improvement ideas based on feedback by ChatGPT

Refining Your Customer Support Strategy

You can even go deeper and ask for advice on what needs to be changed in the customer support strategy based on the received feedback.

Here is the prompt you can use to get ideas for a better customer support strategy:

What changes should we make to our customer support strategy based on the feedback received?

ChatGPT prompt

This prompt seams more like a general question so the first response by GTP was:

  1. Enhance product quality: Ensure that your customer support team is well-informed about any quality-related issues (e.g., the stitching problem in the Slim Fit Jeans) and can address customer concerns effectively. Work closely with the product development and quality assurance teams to resolve such issues and prevent them from recurring.
  2. Improve communication on sizing: Train your customer support team to help customers with sizing issues, like those experienced with the Summer Maxi Dress. Provide them with resources to guide customers in choosing the right size and offer assistance with exchanges or returns if needed.
  3. Expand product offerings: Address customer requests for more variety, such as additional colors and patterns for the Eco-Friendly Yoga Leggings. Ensure your customer support team is knowledgeable about upcoming product releases and can inform customers about new options.
  4. Proactively address feedback: Empower your customer support team to respond to both positive and negative feedback promptly. Establish guidelines for addressing common concerns and escalate critical issues to the appropriate teams for further investigation.
  5. Enhance support channels: Offer multiple customer support channels, such as email, phone, live chat, and social media, to accommodate different customer preferences. Consider implementing chatbots or AI-driven solutions like ChatGPT to assist with simple queries, freeing up your support team to handle more complex issues.
  6. Monitor performance: Regularly evaluate the performance of your customer support team, including response times, resolution rates, and customer satisfaction scores. Use this information to identify areas for improvement and implement necessary changes.
  7. Invest in training: Provide ongoing training for your customer support team to ensure they are up-to-date on product features, company policies, and best practices in customer service. This will help them deliver consistent, high-quality support to your customers.
ChatGPT Response

And here is the response we got:

8. Monitoring and Evaluating the Impact of ChatGPT on Customer Feedback Analysis

Next, we’ll tackle the impact that ChatGPT has on customer feedback analysis. You can ask the tool to monitor and evaluate itself – yes, it can do just that.

Tracking Key Performance Indicators (KPIs)

We asked ChatGPT which KPIs to track so we could measure their effectiveness in the customer review analysis process. Here is the prompt we used:

What KPI’s should we track to measure the effectiveness of ChatGPT in our customer feedback analysis process

ChatGPT Prompt

And here is the detailed, numbered, and very logical list it pumped out:

To measure the effectiveness of ChatGPT in your customer feedback analysis process, consider tracking the following Key Performance Indicators (KPIs):

  1. Sentiment analysis accuracy: Measure how accurately ChatGPT can determine the sentiment (positive, negative, or neutral) of customer feedback. Compare the model’s predictions to a manually labeled dataset to determine accuracy.
  2. Topic identification accuracy: Assess how effectively ChatGPT can identify and categorize the main topics or themes within the customer feedback. Again, compare the model’s predictions to a manually labeled dataset to determine accuracy.
  3. Response time: Monitor how quickly ChatGPT processes and analyzes the customer feedback. Faster response times can lead to more efficient decision-making based on the insights gained.
  4. Feedback volume processed: Track the number of customer feedback instances that ChatGPT processes over a given period. This metric will help you understand the scalability and efficiency of the system.
  5. Actionable insights generated: Measure the percentage of customer feedback instances that lead to actionable insights, which can be used to improve products, services, or business processes.
  6. User satisfaction: Survey users who interact with ChatGPT or utilize its output to gauge their satisfaction with the tool’s performance and the insights generated. High user satisfaction may indicate that the model is effective in supporting your customer feedback analysis process.
  7. Reduction in manual labor: Determine the extent to which ChatGPT has reduced the time and resources spent on manual customer feedback analysis. This KPI can help you understand the cost-effectiveness of implementing the AI model.
ChatGPT Response

Feel free to save this prompt for future reference, or ask the question yourself and see what answer you get.

Adapting and Evolving Your ChatGPT-Driven Feedback Analysis Strategy

Finally, you can ask ChatGPT to give you advice on how to keep improving the feedback analysis. Here is an example of the prompt and the response we received:

How can we continuously improve and adopt our ChatGPt- driven feedback analysis strategy?

ChatGPT Prompt

And here is the response:

To continuously improve and adapt your ChatGPT-driven feedback analysis strategy, consider the following steps:

  1. Regularly update your training data: Ensure that your ChatGPT model is trained on the most recent and relevant customer feedback data. Regularly updating the training data allows the model to stay current with evolving trends, customer concerns, and industry changes.
  2. Evaluate and refine KPIs: Periodically review the KPIs you use to measure the effectiveness of ChatGPT in your customer feedback analysis process. Ensure they align with your business goals and make any necessary adjustments to better capture the value provided by the AI system.
  3. Monitor performance: Track the performance of ChatGPT using the KPIs mentioned earlier. Use this information to identify areas where the model may need improvement or fine-tuning.
  4. Implement user feedback: Gather feedback from your users, both internal and external, to identify any issues, shortcomings, or areas for improvement in your ChatGPT-driven feedback analysis strategy. Incorporate this feedback into future iterations of the model and analysis process.
  5. Conduct A/B testing: Experiment with different model configurations, training data subsets, or hyperparameters to optimize ChatGPT’s performance. Analyze the results of these tests to make data-driven decisions on model improvements.
  6. Stay current with AI advancements: Keep up to date with the latest advancements in AI, NLP, and GPT technology. Be prepared to adopt new techniques, algorithms, or models that can improve the effectiveness of your ChatGPT-driven feedback analysis strategy.
  7. Collaborate with stakeholders: Maintain open communication with stakeholders to understand their needs, requirements, and expectations. Align your ChatGPT-driven feedback analysis strategy with these expectations, and ensure that the insights generated are relevant and actionable for your organization.
  8. Develop a continuous improvement culture: Encourage a culture of continuous learning and improvement within your organization. This mindset will help drive the ongoing refinement and optimization of your ChatGPT-driven feedback analysis strategy.
ChatGPT Response

You can ask additional questions in the same chat to make things clearer for the chatbot so you get an even more precise answer. 

Bonus tip: Use nice language for your chatbot – after all, it was programmed to happily serve you (and you surely don’t want to be on their naughty list should an AI uprising occur).

The Importance of Customer Feedback Analysis

Customer feedback analytics is a crucial process for any business that aims to stay ahead of the competition and achieve long-term success. It involves collecting, analyzing, and utilizing customer feedback to improve business operations, services, and products.

Customer feedback is one of the most valuable resources that businesses have at their disposal. Giant companies like Amazon and Google are often hailed as the most customer-centric in the world and for a good reason. These businesses listen to their customers, build services they want to buy, and use customer feedback to identify areas for improvement.

So, what are the key benefits of effective customer feedback analysis? The following three, no doubt about it:

Improved Customer Experience and Retention

One of the key benefits of effective customer feedback analysis is improved customer experience and retention. When businesses listen to their customers’ feedback and address their concerns and pain points, they can enhance the overall customer experience. This, in turn, can lead to higher customer satisfaction rates. 

But the value of customer feedback goes beyond simply identifying which products to build. It plays a critical role in customer retention and customer loyalty. By addressing pain points in the customer experience, businesses can keep their customers happy and satisfied. Customers are more likely to remain loyal to a business that values their feedback and takes action to improve its experience. This, in turn, leads to better customer retention rates and improved customer experience.

More Revenue and Business Growth

Another benefit of customer feedback analysis is more revenue and business growth. By identifying areas for improvement, businesses can create better services and products.

And by understanding what customers want and need, businesses can tailor their offerings to meet those needs, attracting more customers and generating more revenue. 

Moreover, satisfied customers are more likely to refer their friends and family to the business, which can lead to increased sales and business growth. Did you know that companies that have their customers’ needs a top priority are 60% more profitable than those that haven’t?

Never underestimate the potential of a positive customer experience in whatever industry you might be in.

Better Services and Products

Finally, analyzing customer feedback can also help businesses can make changes that enhance the quality and value of their offer.

This, in turn, can lead to increased customer satisfaction and loyalty and a stronger competitive advantage.

Plainly put, if the customer’s needs aren’t your top priority, your competitors are just a click away for them.

58% of consumers would switch companies if they experienced poor customer service.

According to Microsoft’s Global State of Customer Service report.

FAQs about using AI in Customer feedback analysis

Which analytics method is best used for analyzing customer feedback?

The best analytics method for customer analysis is a combination of quantitative and qualitative analysis. Quantitative analysis includes metrics like Customer Satisfaction (CSAT), Net Promoter Score (NPS), and Customer Effort Score (CES), while qualitative analysis involves sentiment analysis, text mining, and thematic analysis to uncover trends, patterns, and insights from open-ended feedback.

Why is it important to analyze customer feedback?

Analyzing customer feedback is crucial to understanding your customers’ needs, preferences, and pain points. It helps you identify areas of improvement, enhance customer satisfaction, build customer loyalty, and drive business growth.

How to get actionable Insights from Your Customer Feedback?

To get actionable insights from customer feedback, follow these steps:
a. Collect and centralize feedback from various channels.
b. Categorize feedback into themes or topics.
c. Use quantitative and qualitative analysis to identify patterns and trends.
d. Prioritize issues based on impact and frequency.
e. Develop and implement data-driven action plans.
f. Track and measure the effectiveness of implemented actions.

How to analyze customer feedback manually?

Manually analyzing customer feedback involves:
Reading and sorting actionable feedback into categories.
Identifying common issues, trends, and sentiments.
Prioritizing problems based on frequency and severity.
Brainstorming solutions and creating action plans.
Sharing findings with relevant stakeholders.

How to present the results to drive actions?

Present customer feedback analysis results using visual aids like charts, graphs, and tables. Clearly highlight key insights, prioritize issues, and provide data-driven recommendations. Tailor the presentation to the audience’s level of understanding and emphasize the business impact of addressing the identified issues.

How do I categorize customer feedback?

Categorize customer insights by:

a. Identifying recurring themes or topics (e.g., product quality, customer service, pricing).
b. Sorting insightful feedback into positive, negative, and neutral sentiments.
c. Tagging feedback with relevant keywords for easy retrieval and analysis.

What is Customer Effort Score Survey (CES)?

A Customer Effort Score (CES) survey measures the ease with which customers can achieve their desired outcome when interacting with your business. It is usually expressed on a scale of 1-7, where a higher score indicates a more effortless experience. CES helps identify areas where customers face difficulties, enabling businesses to improve their processes and enhance overall customer satisfaction.

What is Customer Satisfaction Survey (CSAT)?

Customer Satisfaction Surveys (CSAT) are tools used to measure customer satisfaction with a product, service, or interaction. They typically consist of a single question asking customers to rate their satisfaction on a scale (e.g., 1-5, where 5 is highly satisfied). CSAT provides valuable insights into customer preferences and expectations, helping businesses make informed decisions to improve customer experiences.

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CEO of EmbedSocial 

Nikola Bojkov is the CEO of EmbedSocial, an entrepreneur who turns problems into products. With over a decade of hands-on experience with social media APIs, he guides EmbedSocial in its role as a technical partner for both SMEs and large agencies, maximizing the impact of their user-generated content. EmbedSocial has offices in Skopje, Tokyo and Lisbon with over 250,000 users.