Our Methods
Qualitative Research
Quantitative Research
Experimental Research
Inferential Research
Qualitative Research
We use qualitative methodology to gain a deeper understanding of consumer attitudes, beliefs, and behaviors. It allows in-depth exploration of complex issues, providing a rich and nuanced understanding of consumer experiences. It is particularly useful for understanding consumer motivations, emotions, and attitudes toward products and services.
Qualitative research methods such as focus groups, in-depth interviews, and ethnographic research are used to collect data. The data collected through these methods is typically in the form of open-ended responses, which allows researchers to gain a more detailed understanding of consumer thoughts and feelings.
This research method is usually used at the early stages of product development or when companies want better to understand the market or customers’ needs and preferences.
Additionally, qualitative research allows companies to gain insights into how their products or services are used in real-life situations and how consumers interact with them in their everyday lives. This can provide valuable insights into improving products and services and communicating with consumers more effectively.
Quantitative Research
Combinly uses qualitative methods to collect structured data through surveys and experiments. The goal is to collect data that can be analyzed statistically to draw inferences and make generalizations about a larger population. The method allows for collecting large amounts of data from a representative sample, using powerful statistical techniques to identify patterns and relationships in the data, and testing hypotheses and cause-and-effect relationships between variables. The data collected is analyzed using statistical techniques such as descriptive statistics, inferential statistics, and multivariate analysis. The most common method of data collection is surveys, which can be conducted through the mail, phone, email, or online, and it allows researchers to gather a large amount of data from a representative sample of the population, and they allow for the use of standardized questions and answer options.
Experimental Research
We employ experimental methods to investigate the impact of various variables on the performance of a brand or product. This approach is used to establish causality and is a commonly employed research technique in scientific studies. In this methodology, researchers manipulate one or more independent variables while keeping others constant to observe the effect of the manipulated variable on the dependent variable, which is the performance of the brand or product. Experiments are a powerful research method as they allow researchers to establish causal relationships between variables by controlling for extraneous variables and eliminating alternative explanations. Additionally, experiments are often used to test hypotheses and predict research outcomes. Finally, using experiments, researchers can draw inferences about cause-and-effect relationships and generalize the results to a larger population.
Inferential Research
We use the inferential research method to draw conclusions about a larger population based on a smaller sample of data. This method is a powerful tool that enables us to infer characteristics of the entire population from a sample of data and generalize the findings from the sample to the population as a whole. Using a representative sample, we can ensure that the results are unbiased and accurately reflect the population.
The inferential research method is proper when it is not feasible or practical to study the entire population due to cost, time, or other constraints. It allows us to make valid and generalizable conclusions about a population, which can be used to inform policy decisions, guide future research, and improve our understanding of complex phenomena. Additionally, it involves using statistical techniques such as hypothesis testing and estimation to make inferences about the population based on the sample data. This approach allows us to make predictions and draw conclusions about the population with a certain degree of confidence, making it an essential tool in research.