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As your business grows, you may receive more and more feedback across multiple platforms. With this growth, your audience also expects you to take their opinions into account. And as a result, develop your existing and new products based on their needs.

Collecting all this feedback can be challenging. Understanding what to do with it can be even more difficult.

You may end up with a messy mix of reviews and comments, all written in different ways. Some may make more sense than others. But almost all of them can provide valuable information and help you discover useful findings.

In this guide, we will share six steps that can help you simplify this process and turn customer feedback into valuable product insights.

Why is customer chat feedback so valuable?

Chat feedback is basically unstructured data. It’s not something like a regular survey with multiple-choice answers that are pretty easy to collect and analyze. 

No, not at all. In fact, this type of data is much harder to measure. It consists of open-ended answers to multiple questions your team may not even come up with. But even though all this chat feedback can be chaotic, it can also be very valuable. 

All these messages come from real human opinions. If customers decide to spend their time writing or saying something about your brand, they have something important to tell you. And your job is not to ignore it, but to see it as a big opportunity to uncover real and authentic product insights.

For example, you can identify:

• Customer preferences: Many people may mention the same product or its features over and over again.
• Buying behavior: Customers can share their journey and feelings during the process of buying your product.
• Negative insights: People may share what they didn't like about your product, what problems they encountered, and so on.  This can happen even more often than with positive insights. 
• Market trends: You can keep track of what new features or products customers expect.
• Product positioning: Check how customers perceive your product compared with competitors.

One piece of feedback doesn't necessarily mean it will reveal just one product insight. In fact, many messages can contain multiple insights. Some insights may come up much more often than others. And that's fine. It can even make it easier to decide what to concentrate on first.

Your ultimate goal is to turn those insights into business actions. But first, let's focus on how to come up with these findings correctly.

A step-by-step guide to turning messy, unstructured data into product insights

Step 1. Collect and organize feedback in one place

Customers don’t always share their opinions in the same place. All feedback and reviews are spread across many different platforms and shared in many different ways.

For example, you may find feedback on:

• Google Reviews and other review platforms.
• Social media (comments and direct messages).
• Reddit and other discussion platforms.
• In-app feedback forms or AI chatbots
• Customer support tickets and emails
• Surveys and interviews 

And many others. 

Such variety can create a mess. Two different people on two different platforms may talk about the same issue with customer support agents in completely different ways. And it's pretty easy to confuse these insights, miss them, or interpret them as separate issues simply because you don't see the bigger picture.

At the same time, multiple teams within your company may have access to different platforms. In this case, they may look at customer feedback from their own perspectives. This can also lead to confusion and even result in completely different business actions.

These situations can happen quite often and make the overall workflow much more difficult.

That's why the best way to approach this is to collect all reviews and product feedback in one place.

If you're a small business with not that many reviews or feedback messages, you can do this manually. For example, you can use a spreadsheet or Google Sheets. 

But if your team is big and you receive a large amount of feedback, copying and pasting everything will take too much time.

To simplify this process, you can use automation tools such as Zapier, Make, and so on. You connect these tools to your platforms, and they automatically pull feedback from them into one place.

Step 2. Categorize feedback and identify patterns 

Collecting all emails, reviews, and feature requests in one place is just the beginning of the organization process. You may end up with thousands of comments. And taking every piece of feedback into account would take a lot of time and, to be honest, wouldn't always make that much sense.

In some cases, customers may leave negative feedback just because they had a bad day rather than an actual problem with your product. That's why you need to look for recurring patterns.

So, once you've finished collecting all the product feedback in one place, start by categorizing it.

For example, you can group it by: 

• Product feature
• Issue type
• Customer segment
• Severity, and more.

This categorization will make it easier to identify patterns. For example, several users may mention that they struggle to find specific features. Others may repeatedly ask for the same integration or describe difficulties with a particular workflow.

This will make it easier to understand user needs and identify meaningful product insights. And as a result, spot opportunities for improvement.

AI tools can also help with this process. Even regular tools like ChatGPT or Claude can analyze large amounts of unstructured feedback. They can group similar comments and identify recurring topics and customer sentiment. 

But you should always keep an eye on their work. Make sure they don't invent information or misidentify topics.

Step 3. Understand the problem correctly

Not every customer request should be taken literally. Sometimes, customers don't know exactly what they need or what the best way to solve their problem would be. They may only know what they are struggling with and what they think could make things easier.

For example, several people may ask you to add a new feature to your product. 

But instead of immediately adding it to your product roadmap, try to understand customers' pain points and what they need in the first place.

Ask yourself these two questions: 

1. “What problem are they trying to solve?” 
2. “Is there another way to address this issue using your existing functionality?”

You can also go a step further and talk directly to customers. Ask follow-up questions, learn more about their experience, and understand what they are trying to achieve. Sometimes, watching how customers use your product can reveal problems they haven't even mentioned.

The real issue might also go much deeper than a “feature request”. Your customers might feel unheard or lack loyalty and trust. And the fixes to that will range from taking care of many small details to making truly foundational changes. So, the goal is to look beneath the surface.

Step 4. Combine customer feedback and product usage data

Customer insights are also data. But it’s not the same as regular product usage data. Sometimes, these two types of data don’t really reflect each other. 

For example, customers may say that a particular feature is useful. But at the same time, product analytics may show that only a small percentage of users actually use it. 

On the other hand, you may notice that customers frequently use a feature but rarely mention it in surveys or interviews. 

So, looking at both types of information gives you a more complete picture. 

Here is a list of metrics that are worth monitoring regularly:

• Feature adoption rates
• User engagement 
• Customer retention 
• Features usage frequency 
• User drop-off points 

By comparing these metrics with customer feedback analytics, you can better understand user behavior. You can also identify product usability and opportunities that may not be obvious from feedback alone.

Step 5. Turn findings into actionable insights

The whole point of collecting, organizing, and comparing all this data is to make sure it supports actual business decisions.

So, when you identify patterns, take a moment to understand what they actually tell you.

For example, you can identify which features people value most or discover unmet needs. Or maybe understand why users stop using certain features.

As a result, you can find opportunities for product improvement or even launch a new product.

Step 6. Keep other teams on track as well

What people say about your products or company is important for multiple teams across the company. Different teams can use this information in their work. For example:

• Product managers can use it to understand customer needs and plan their roadmaps.
• Developers can better understand usability issues.
• Marketing teams can learn which product benefits matter most to customers.

And so on.

You can also create regular reports where you summarize all useful findings. Or even organize meetings where teams discuss important product feedback.

Final thoughts

You may find different messages from customers about your product across various platforms on the web. But the real impact comes when you interpret them correctly.

At first, collecting all the feedback in one place, categorizing it, and trying to pull useful insights from it may seem overwhelming. If you have mentions across large discussion platforms, the process may seem like a whole nightmare.

That's why you need to plan everything strategically and use tools to simplify the process. In the end, you can come up with your own ideas and turn customer feedback into valuable product insights.

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