Qualitative Feedback Guide: Importance, Analysis & Template

Feedback is something through which businesses or researchers get insights. One crucial type to focus on is qualitative feedback. Rather than some numerical points, this type of feedback captures customer expressions as such. In other words, more nuanced customer feedback.

In this blog, we are going to help you get a better understanding of the concept, its importance, examples, and more. As a bonus, we have added a template for you as well. Click here, if you want to jump to the template.

So, let’s get started.

What Is Qualitative Feedback?

Qualitative feedback is customer opinions that offer detailed and descriptive information.

The feedback is primarily based on observations or, in other words, it’s not quantifiable. This type of feedback is mostly used across education, customer service, and management. A common example of qualitative feedback is shown below.

Normal Feedback – “The product did the job 👍.”

Qualitative Feedback – “The functionality of the product was very good, especially the conversational interface and AI surveys. There’s a learning curve, but the support team was at every step helping us.”

As you can see, the feedback includes personal experience and views – rich and detailed.

So, Why Is Qualitative Feedback Important?

There are many reasons why qualitative feedback is important. You might already know some, but here are the key reasons why –

1. With the insights being rich and descriptive, it can help improve or enhance your product or service.
2. The feedback will be focused, making it more relevant and reliable.
3. It can help you understand the ‘WHY‘ behind customer reviews and get a wider picture of customer satisfaction.
4. In the education context, this feedback type can be highly helpful in understanding complex concepts and improving skills – both students and teachers.
5. You can identify hidden patterns and trends in advance.

These benefits are a few (but the most crucial ones) that are common across niches. Read n to learn more about qualitative feedback.

Key Applications of Qualitative Feedback

We have already discussed three areas in which qualitative feedback is used. Here, we will be listing the industries that require qualitative feedback. Let’s have a look at them.

• Education – For developing and improving the skills of both teachers and students.
• Business – For managers to provide constructive feedback on employee behavior, achievements, and areas of growth.
• Research: To collect and discuss the implications of research findings and theories in depth.
• Healthcare: For doctors and nurses to discuss patient care, improve practices, and patient outcomes.

Now that you have a basic idea of qualitative feedback, let’s discuss how you can collect it.

Qualitative vs Quantitative Feedback: What’s the Difference?

Both quantitative and qualitative feedback is essential to get a complete view of customer experience. Since you already know what qualitative feedback is, let’s discuss the latter.

Quantitative feedback is numerical and focuses on measuring opinions or other variables. They are structured and often use scales, checkboxes, or numeric inputs to gather feedback. A good example is NPS® surveys. The NPS® score is numerical and clearly gives you an idea of customer loyalty.

The following is a quick read for you to acknowledge the difference between the concepts.

Aspect	Qualitative Feedback	Quantitative Feedback
Definition	Descriptive and detailed, focuses on understanding behaviors, experiences, and perceptions.	Numerical and measurable, focuses on quantifying opinions, behaviors, or variables.
Nature of Data	Non-numerical, text-based (words, images).	Numerical (numbers, statistics).
Collection Methods	Interviews, focus groups, observations, open-ended surveys, and ethnographic research.	Structured surveys, polls, experiments, and closed-ended questions.
Data Analysis	Coding, thematic analysis, content analysis, narrative analysis.	Statistical analysis, including descriptive and inferential statistics.
Output	Detailed descriptions, direct quotations, and thematic summaries.	Statistical figures, charts, graphs, percentages.
Interpretation	Provides depth and detail and explores how and why phenomena occur.	Offers breadth, tests hypotheses, and generalizes findings to larger populations.
Applications	Exploring complex issues, developing hypotheses, user experience research, and initial research phases.	Confirming hypotheses, estimating outcomes, large-scale studies, and generalization.
Advantages	Depth of insight uncovers trends in thought and opinions and provides context.	Quick analysis, large sample sizes, objective and generalizable results.
Limitations	It is less easy to generalize, time-consuming and has the potential for researcher bias.	May overlook reasons behind trends and less detail on individual experiences.

What are Some Qualitative Feedback Examples

The following are some examples of qualitative feedback. We are providing how the feedback would look on key industries. Hopefully, this will help you identify qualitative feedback instantly.

In customer service – customer review

“The support team was very attentive and knowledgeable. They were able to pinpoint my issues quickly and offer tips to resolve them. Altogether, I had a great experience.”

In healthcare – patient feedback

“The physical therapy sessions have been helpful, but I feel they are rushing through the process. I’m also unable to discuss discomfort and pain level with my trainer during the sessions.”

In the workplace – performance review

“You have shown great initiative and leadership qualities throughout the year. And the way you have managed the clients, especially during the onboarding, has been impressive. Moving forward, integrating more data-driven strategies could further enhance your decision-making process.”

In product development – user testing feedback

“The interface of the new features is visually appealing. However, I found the exporting function to be confusing. The option is currently hidden from the users under another menu. We should make it more accessible for the users.”

In hospitality – a guest review of a hotel

“The room was very clean, and the ambiance was equally great. There was an issue with the heater, so we weren’t able to use hot water. The food was great, with a lot of options, but the room service could be improved.”

Let’s see how you can collect these kinds of feedback.

How to Collect Qualitative Feedback?

Qualitative feedback collection is a tricky one. There are several methods to go about it, but before jumping into them – define your goal. You must have a clear idea of what you are trying to achieve with the feedback.

• Are you trying to improve your product?
• Do you want to evaluate your asset condition?
• Is it the user experience you want to measure?

Ask yourself what you want to achieve and define the goal first. Once you have done that, choose any of the following methods for collecting qualitative feedback.

Method 1 – Open-ended Surveys

The most common and best way to collect qualitative feedback is through surveys. With the right survey tool by your side, you can reach out to a global audience and collect feedback efficiently. Not to mention the multiple channels you can collect from.

By asking open-ended survey questions, respondents can express their feelings without any constraints. You can then analyze them to understand the following (but are not limited to) –

• What prompted them to give the feedback
• The customer sentiment behind the feedback
• The reasons behind their emotions
• The areas you need to work on

To give you a better idea of how effective surveys can be, refer to the qualitative feedback template below. The template is free to use (upon sign-up). So please, feel free to use it.

Method 2 – Interviews

Interviews are basically a limited and time-consuming version of surveys, albeit an effective one. It allows for in-depth discussions and can adapted based on the respondent’s answers.

Now, back to interviews. you can conduct interviews in two ways –

• Structured
• Unstructured
• Semi-structured

In structured interviews, there will be a set of predefined questions to ask the respondents. This is to ensure uniformity across interviews. A limitation here is the depth of response.

In the case of unstructured interviews, the questions will be open-ended. In addition, the interviewee will guide the entire discussion to cover all topics and uncover deeper insights.

Semi-structured interviews are a mix of both. There will be a set of predefined questions, but the interviewee can also drive the discussion to make it more insightful.

Method 3 – Focus Groups

If you are someone who has done market research, then you will be familiar with them. These are practically a group of individuals handpicked to discuss specific topics (or products). Following this method can be useful in exploring a wide range of perspectives.

While creating a focus group, ensure a safe environment where the participants can express themselves without constraints. As a result, you can see more interaction between them, leading to new insights and ideas.

The moderator you hire should also be skilled to drive discussions efficiently. The discussion should not wander off-topic and should cover every aspect of the topic. If you are interested, you can follow the link where we discuss focus groups in detail and how to create one.

The methods we discussed are the best ways for qualitative feedback collection. Though there are other methods, they usually bring in a mix of both qualitative and quantitative feedback. Now, let’s see how to analyze the feedback.

How to Do Qualitative Feedback Analysis?

Once you have collected the feedback, it’s time to analyze it. However, qualitative feedback analysis is an intricate process. This is the case, especially because of the volume and nature of data that need to be analyzed.

Don’t worry – here’s a structured approach to make qualitative feedback analysis easy.

Step 1 – Data Preparation

You can’t just analyze the collected data just like that. No. You need to organize and prepare them first.

Check for audio or video feedback. If there is, then convert them into text. Remember to check for accuracy while converting the data. The level of data accuracy will define the integrity of the data.

Categorize the feedback according to topics or questions and remove any irrelevant or redundant data. Move on to the next step when you have completed these.

Step 2 – Code Your Data

Coding here means to categorize and tag the data. It usually involves identifying data segments and applying labels (code) to them. These codes can be descriptive, inferential, or thematic. The coding is done in three stages. They are as follows –

• Open coding – Start with open coding by labeling data with as many codes as seems appropriate. This stage aims to describe the content.
• Axial coding – Here, organize these codes into categories based on their relationships. Doing so helps identify the connections between different parts of the data.
• Selective coding – At the final stage, identify one or more central themes that hold your analysis together. This involves integration and refining the categories into major themes.

This process is like piecing together a puzzle in an orderly fashion. Through coding (labeling), you can clearly differentiate feedback that discusses specific topics.

Step 3 – Develop Themes

Themes are basically a way to capture the essence of a larger chunk of data. For instance, we have categorized feedback into usability, payment portal, and product efficiency. However, the underlying focus of this qualitative feedback is customer experience. That’s what themes do.

Thematic mapping can be helpful. The visual representations can provide a crystal clear relation between feedback. Thus, it makes analysis easier.

Step 4 – Interpret Data

Once the themes are set in place, it is time to interpret the feedback data. You need to check the data in relation to your initial questions or objectives. Ask yourself – how do the themes fit into the larger picture of your feedback goals? This will help you understand the context of the qualitative feedback.

Step 5 – Report the Findings

Prepare a concise report to summarize the findings. Make sure to include the following while creating the report so that it covers everything.

1. Use direct quotes from participants to illustrate key points.
2. Clearly explain how you derived the themes and what they represent.
3. Point out your findings and how they can help with your business growth.

Once the report is ready, share it with the teams and stakeholders. Go through the report insights and take appropriate actions to grow your business.

Collect Qualitative Feedback With SurveySparrow

As you may have understood, qualitative feedback analysis is a complex and time-consuming process. But with SurveySparrow, it isn’t.

For qualitative feedback collection, it offers a conversational survey interface. With the surveys being interactive and engaging, you can expect a 40% more response rate. And by allowing you to share surveys at key touchpoints, you can get reliable and honest feedback.

The user-friendliness and interactivity of the surveys are very evident from the template given below.

You can collect feedback from different channels.

The platform allows you to share surveys through 12+ channels, including WhatsApp, SMS, and QR codes. Its ticket management software can help you quickly reach out to customers who have provided negative feedback. Therefore, it will be easier for you to communicate with them when the issues are resolved.

As for the analysis, SurveySparrow offers CogniVue.

It’s an advanced analytics feature that offers you the following insights from feedback analysis.

• Sentiment score
• The most discussed topics in the feedback
• The customer sentiments behind the feedback
• Key driver analysis
• The ‘What’ and ‘Why’ behind customer feedback

Unlike other online survey tools, through this feature, SurveySparrow allows for the collection and analysis of customer feedback from online review platforms. This you will get a comprehensive view of how customers perceive your brand.