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Nowadays, most companies are focusing on creating user-centric products, let they be tech or IT related. Marketers have observed the benefits of putting their users first in their decision-making. However, what is the best way to know users’ needs and wants?
Conducting qualitative vs quantitative research is the best method to know users’ needs and deliver in accordance with that. When it comes to research, there are two ways you can go about it: quantitative vs qualitative user research.
Nonetheless, you can’t say that it is better to do just one type of research. Sometimes, quantitative data is useful, and other times qualitative data to get to the bottom. Here, in this blog, we will give you the quantitative definition, the qualitative definition, and the difference between qualitative vs quantitative research.
Quantitative means any data that can be quantified. It can be measured in numbers or numerical values. Quantitative data takes into consideration statistical, mathematical, and computational analysis of data. It answers questions like, “how much”, “how many” and “how often”.
Examples of quantitative data:
As you can see in the above statements every statement has a numerical value for each parameter. Next, we will discuss the advantages and disadvantages of quantitative data.
There are many advantages of quantitative data that we have given below:
We have mentioned some of the disadvantages of quantitative data as follows:
Quantitative research is all about collecting and analyzing quantitative data. It aims at measuring the quantitative data by using inferential statistics and making data interpretations.
In terms of user experience data, it calculates everything in numerical values- like the number of visitors, bounce rates, and so on:
Examples of quantitative research:
Quantitative research can help you see things in a practical way. You talk about the digital experience in terms of quantifiable data. You can conduct statistical analysis for making decisions. You can identify feedback patterns using statistical operations.
Quantitative research can help you calculate averages, make future predictions, and analyze results. This research provides you with objective findings as it is based on numerical data.
Qualitative data is descriptive in nature, unlike quantitative data which is expressed in numerical values. Qualitative data analysis provides you with information that can’t be measured or quantified. It usually includes words that describe particular traits or characteristics.
This data is more about the perceptions and emotions of people. It helps marketers and researchers to find answers to “why” or “how” questions.
Examples of qualitative data:
Here, we have discussed some of the best advantages of qualitative data:
We have listed below some of the disadvantages of qualitative data:
Qualitative research helps you in understanding the patterns and trends in the users’ behavior and actions. It is a subjective approach that describes an action rather than measuring it.
This type of research focuses on gaining insights, reasonings, and motivations that drive users’ actions. It provides you with information about the issues or problems that customers might be dealing with.
Examples of qualitative research:
Qualitative research provides you with more in-depth information about users. It can reveal information about your users that quantitative data can’t. You can find out what drives your customers to take specific actions.
Qualitative data analysis can help you make informed choices about your users. You can make decisions based on your customers’ requirements and motivations.
When it comes to conducting data research, it’s important that you understand qualitative data vs quantitative data differences. Here, we have given simple ways to differentiate the quantitative vs qualitative data.
For collecting both qualitative and quantitative research data, you need to use different methods. Quantitative data collection methods are controlled and record numerical information. Qualitative data collection methods are flexible and involve asking open-ended questions.
In this section, we have discussed the data collection methods of both quantitative data vs qualitative data.
There are many quantitative data collection methods that you can utilize. We have mentioned some of the best quantitative data collection methods below:
A survey is a quantitative data collection method in which questions are asked to a large number of people. The questions are usually close-ended to get definite answers. If the questions don’t have clear options, the results will become difficult to evaluate.
Polls are similar to surveys and help to gather quantitative data. You take a poll from a number of people and ask them to choose from the provided options. This way you get a numeric value for how many people chose each answer.
An experiment is a quantitative data collection method that includes a control group and an experimental group. Usually, the experiments are conducted under controlled or manipulated conditions. You can get extensive data from this by combining quantitative and qualitative data.
The information that you gather from these will help you to get unique perspectives. You can get a collection of rich and reliable data. The A/B tests, controlled experiments, blind experiments, and many more come under this category.
Qualitative data can help you to get a better understanding of your customers. Here, we have given some of the best qualitative data collection methods.
This is one of the most commonly used qualitative data collection methods. In this method, the researcher directly collects information from the interviewee by asking one-to-one questions. The interview is usually informal and conversational in nature.
The questions can be open-ended to find the reasoning and motivations that drive certain customer actions. The questionnaire can include as many questions that can help researchers get the information they want.
As the name suggests, it is done in a group discussion setting. The groups are formed and a moderator is assigned to carry out the discussion effectively. The members of the group usually have something in common and have sufficient knowledge of the subject.
In focus groups, each member shares their point of view and opinions. This way the researchers deduce some findings to make significant changes.
This is the process in which the researcher gets into the setting where their respondents are and keep a keen eye on them. They take note of how, what, and why anything is happening. Apart from notes, they can use other documentation methods like images, audio, and video recording.
Data collection is an important part of the research process. However, data collection is of no use if one can’t analyze it properly. There are various methods that you can use to analyze both qualitative and quantitative data.
Analyzing quantitative data is easy by using the following methods.
It is the most commonly used quantitative data analysis method as it uses a basic tabular form to draw insights from the collected data. It consists of data that is connected or mutually exclusive.
This is a statistical analysis method that looks at the quantitative data collected over a long period of time. It is a method that collects feedback about the data changes over a period of time. It helps in analyzing data by understanding the change in variables while considering one variable constant.
This is a quantitative data analysis method that measures customer preferences and factors that makes them purchase. This quantitative data analysis method is also called the “ best-worst” method.
This method involves assigning numerical values to strengths, weaknesses, opportunities, and threats of a product or service that provides a complete picture of the data. This type of data analysis is used to create effective strategies for business.
You can use the methods given below for qualitative data analysis.
In this method, the qualitative data is analyzed based on a structure that is predetermined by the researcher. The questions can be used as a guide for analyzing the data. This is an easy approach if the researcher has an idea about the responses he/she is likely going to receive from the population.
This method is not based on any framework or predetermined structure. It is a thorough qualitative data analysis approach that requires time. It is often used when a researcher doesn’t have an idea of the research phenomenon.
For marketers, it’s important that they analyze the quantitative and qualitative data to make alterations that make difference. WebMaxy Analyzer can help you to collect and analyze quantitative and qualitative data.
You can get the total number of website visitors coming to your website. You can see how they interact and navigate through your website. You can analyze their activity and find ways to make their user journey smooth.
From session recordings, you can also find out any technical issues or problems that your visitors might be facing.
Heatmaps are graphical representations of users’ clicks and tap on your website. You can know which website elements and CTAs your visitors are clicking. This information can help you understand if your CTAs are relevantly placed or not.
Scroll maps can aid you in knowing your customers’ attention span area. You can know if they are reaching the crucial information of your web pages or not.
With WebMaxy Analyzer, you can conduct surveys and polls easily and quickly. You can ask important questions to your customers and collect qualitative data. You can know from your users directly, what they want and expect from your company.
You can get both quantitative and qualitative customer data from the WebMaxy surveys & polls feature. It comes with many different survey templates that you can launch directly by customizing the questions and options. The survey data analysis is also easy with graphical representations.
This feature can help you observe the customer journey on your website. You can know the conversion and drop-off rate of your website visitors throughout the funnel. See where most of the users drop and what might be the reason behind it. This way you can make changes that prevent your users from slipping.
Quantitative and qualitative user research, both are necessary for the product designing process and for further improvements. It can help you know your users’ needs, wants, and goals. Quantitative research is numerical in nature and can help you work on your business numbers like bounce or conversion rates.
Qualitative research focuses on finding the reasons behind why certain things happen the way do. It takes emotions, observations, and points of view of customers into consideration. By analyzing both quantitative and qualitative data, you can make data-driven changes that deliver results.
WebMaxy Analyzer can help you to gather and analyze quantitative and qualitative data. It has a wide range of features like session recordings, heatmaps, surveys & polls, feedback, funnel view, form analytics, user insights, push notifications, and many advanced integrations.
For more information and details about WebMaxy Analyzer, connect with our experts on call or email us at sales@webmaxy.co.
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