Characteristics of Quantitative Research Design

When it comes to design research for any new product development, industrial designers and researchers need to select the best research design method that not only takes into account the user backwards approach but also emphasizes appropriate design thinking for business innovation. 

The goal of quantitative research design is to find how many people think, act, or feel in a particular way. Its projects use large sample sizes and place greater emphasis on the volume of responses than on obtaining more in-depth or emotional insights. 

Each respondent is often asked the same questions in a quantitative research methodology, which ensures that the entire data sample can be fairly analyzed using statistical methods. It is necessary for the best prototyping consultancy in India, like the Future Factory, to employ optimizable resources that aid in innovation and technology, and make the product design process simpler. 

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Characteristics of Quantitative Research Design 

To assist in the design thinking process, here are a few prominent characteristics of quantitative research design that industrial designers must take into account –  

  1. Large Sample Size – Researching a larger audience, ensures reliability and derives the best possible outcomes. To fulfil the main aim of getting numerical insights, product design companies like the Future factory keep the sample size so that the entire market can be targeted. 
  1. Structured Research Methods – Quantitative research uses structural research techniques including surveys, polls, and questionnaires. These organized research techniques allow for the extraction of comprehensive information regarding the audience’s preferences.

Furthermore, for any digital product design, it is simple to reach a large crowd regardless of geographical limits and get feedback from a sizable audience. These iterative thinking research techniques are simple to use using offline approaches and help in seizing the best results too.

  1. Reliable Outcome – Given that participants in the study answer closed-ended questions, the results of quantitative research methodologies are quite reliable. As a result, there are fewer opportunities for participants to provide unclear or inaccurate information.

Because of its dependability, Future Factory employs quantitative research techniques extensively in industrial product design research. The results of quantitative research are simple to comprehend and justify.

  1. Reusable Outcome – The results of quantitative research can be applied repeatedly across multiple industrial designs. Data gathered for one research objective may also be used to advance the analysis of another research challenge. The cost and time needed to do research are sometimes reduced when researchers use the findings for similar research problems. This supports the output of new but connected research problems by drawing on the findings of the earlier research problem.
  1. Numerical Outcome – Quantitative research design always produces numerical results. For instance, a percentage or range of figures can be used to describe a research outcome. A numerical result is simpler to read and comprehend than a detailed result, and it is also simpler to conclude a numerical result.

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Quantitative research design eliminates the scope of personal comments and biased results. It offers an honest picture of the carried hypothesis and produces extremely accurate results. For product design companies to stay ahead of the competition, employing resources for quantitative research design is advised.