Qualitative and Quantitative Data

Data, it goes without saying, is important. It helps inform decision-making by providing insights into customer needs, behavior, and feedback. It’s used to prioritize features and identify opportunities for improvement. It’s our tool for measuring performance and making data-driven decisions to optimize the product for success. It’s also the foundation of tracking and measuring key performance indicators (KPIs) that ensure that the product is meeting its goals and objectives.

Qualitative data

Qualitative data is a type of data that describes and interprets non-numerical information. It is typically collected through methods such as interviews, focus groups, observation, and open-ended surveys. Qualitative data can include things like descriptions, opinions, and feelings and is used to gain an in-depth understanding of a particular subject. Qualitative data is often used in fields such as market research, sociology, psychology, and anthropology, as well as in businesses to understand customer needs, values and preferences. It's also used to find patterns, themes, and insights that can't be captured with quantitative data.

How do we get qualitative data?

Collecting qualitative data is an essential part of understanding customer needs, feelings, and behaviors. There are several ways to gather this type of information, including interviews, focus ...