CAWI ( Computer Assisted Web Interview) online surveys ,
This method consists of making an online survey available to respondents who are invited to complete it online. These surveys are usually hosted on specialized online survey platforms, which make it easy philippines phone directory search and quick to complete the survey and analyze the results.
CATI ( Entrevista telefónica asistida por ordenador ) Telephone Interviews
It is a technique for conducting quantitative research in which interviewers conduct telephone interviews with respondents using special computer programs for data entry and storage.
Individual In-Depth Interviews IDI (English: In-depth interview ),
This is a research method that consists of individual interviews with a single respondent, which usually last between 30 minutes and several hours. The objective of these interviews is to gain a more detailed perspective of the topic being investigated, for example, how people think, feel, have attitudes or experiences.
Individual in-depth interviews TDI (English: Telephone in-depth interview ),
This research method involves conducting individual telephone interviews with respondents to obtain detailed information about their behavior, beliefs, and opinions.
On the art of choosing, or why you should choose in the end
At first glance, it seems very tempting to conduct only a quantitative survey. The large number of respondents or the easy comparability of unambiguous numerical results are tempting arguments for decision-making. However, it must be borne in mind that relying solely on quantitative studies entails risks. This means that, regardless of the number of phenomena studied, the relationships between the results obtained will be a matter of intuition alone, which can lead to erroneous conclusions. Indeed, if in a given village a significant relationship is observed between the number of storks and the number of children born, does this mean that storks really bring children? It is quite unlikely, and experts can cite as a reason, for example, the occurrence of a harsh winter the previous year. However trivial this example may seem, we will face very similar problems in real market research.
Seeing that our chain of stores is losing customers and our competitors are increasing their sales, we do not know whether:
We have lost customers due to overpriced prices or inferior service,
the product we offer has become obsolete,
competing companies have managed to change their business profile.
After all, the number of potential causes is enormous. Even if we were to find out that customers have in fact recently rated the quality of service in our network as lower, we would still not know whether sales are actually declining due to poorer service if staff are demotivated and fatigued due to fewer customers in the store.