Question

In: Economics

How are qualitative and quantitative analyses used in assessing potential new products and services?

How are qualitative and quantitative analyses used in assessing potential new products and services?

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Expert Solution

The motivation behind quantitative research is to gather dependable, normalized realities and measurements to direct key business choices, for example, "is there a solid market for our item?" or "what number of our objective clients care about this advantage?"

Regularly, essential research quantitative information is caught through reviews and polls. In any case, it's essential to guarantee that the pool of respondents is adequately huge, and that sensible exertion is placed into guaranteeing the nature of data. For instance, only utilizing portable overviews to catch quantitative information is probably going to excessively sift through individuals not on versatile boards, while leading studies by calling landline telephones is probably going to lopsidedly sift through the about 66% of families that totally or generally use mobile phones.

In fact , data analysis is just one piece of the puzzle for quantitative study. This must be coordinated, evaluated and conveyed to decision makers (e.g. executives, board members, company owners, etc.) in order to use it as an actionable and accurate market intelligence. Many companies and nearly all small businesses do not have the in-house personnel , equipment or skills to do so.

Qualitative research aims at gaining a better understanding of the insights of consumer motivation and emotion. In this sense, if quantitative research is primarily about the "what" of customer behaviour, qualitative research is about the "why." This approach may be useful in revealing aspects such as how customers view a brand, why they like certain marketing messages and dislike others, etc.

There are many ways to conduct qualitative market research, such as focus groups, online bulletin boards, and in-depth interviews. Various strategies and tactics have advantages and disadvantages, and adjustments are important in order to avoid bias or end up with plenty of raw information


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