3/16/2023 0 Comments Qual vs quant![]() ![]() This keeps your problem statements directly related to what’s relevant to the customer, and not to you.Īnalyzing qualitative data sounds difficult, but it adds a lot of value to your data sets, and helps you to remember that you’re building products for people and not for robots. If you notice that various customers use the word ‘complicated’ to describe a process they’re having problems with, use that to form your problem statement. This type of data can also help you to form customer problem statements, as you can take words straight from the horse’s mouth. Typical qualitative data visualizations include word clouds and mood boards. It’s usually very loosely structured, and you’re unlikely to find a spreadsheet comprised fully of qualitative data. Qualitative data is useful because it captures things that the numbers can’t tell you, and fills in some vital gaps. Typical qualitative data sources might include: Qualitative data, also sometimes known as soft data, involves information that can’t be boiled down so easily to numerical data. The first thing you need to understand is that all data is one of two things…qualitative or quantitative. So now you’re fully aware of the myriad advantages that data can bring, and you’re ready to begin your journey to becoming data-driven. Find out why product-market fit is so vital for product success. Good data gathering begins long before the start of the development process! When you perfect data analysis on your target marketing, and perform continuous data gathering on the market throughout development, you ensure that what your building has a place in the market. Data helps you find your product-market fit.When you rely on the data, you’re getting to the truth about your customers, and letting it tell you what they really need, want, value, and will be retained by. If used in the right way, data can challenge your perceptions and completely change your perspective, opening doors to new opportunities. Data helps you discover new opportunities.You need data to build something that people actually need, in a way that makes sense. There is much truth to be found in data, and using it properly can ensure that you’re building the right things for the right people in the right way. It’s not just about looking like you know your stuff, it’s about actually knowing your stuff. Data helps you make the right choices. ![]() Data can help you do that by providing evidence for your opinions. In Product Management, you have to be able to influence without authority. ‘Without data, you’re just another person with an opinion’ as W. When strong opinions are flying around the room, it’s useful to have some data sets to refer to, to aid with prioritization decisions. While it’s rarely that simple, it’s true that data can help to provide context. We tend to see data as ‘fact’, or something which can be used an an objective truth when teams are trying to make decisions. ![]()
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