Research Design

This is a strategy for answering research questions. It defines our overall approach and determines how we collect and analyze data. At the general level, we have quantitative and qualitative methodologies. Quantitative data is numbers-oriented, such as surveys and statistics that are generalistic and replicable. Qualitative data is language-oriented, such as interviews and experiences, which are contextual and unique.

Quantitative approaches

These are great for testing theories and identifying relationships between different factors. They can be run on a large scale, as they also overlook the specifics of a research context.

1. Experimental research: we divide people into groups and test which intervention works best for each.

2. Surveys: describe 'what is' and see how variables are distributed across a phenomenon.

3. Randomized controlled trials: are large-scale tests with blind control groups unknown to the researcher.

Qualitative approaches

These are good for building a rich understanding of a social environment that helps us build theories about why people do what they do. Not suitable for general assumptions beyond context.

1. Case study: close observation and analysis of a small group or bounded situation

2. Ethnography: these are extended periods of embedded observation and understanding in a social environment

3. Action research: these are reflective processes of engaged, practical exploration of new ways to practice

There are absolute truths out there for us to discover. Facts are objective. It is important for research to be generalisable, replicable and scientific. Also, the truth is context-dependent and socially constructed. Facts are subjective, it is important for research to seek understanding of context and experiences.

Why is this important

1. Ensures our methods match our research aims.

2. Ensures we collect high-quality data.

3. Ensures I use the right kind of analysis to answer questions.

4. To draw valid, trustworthy conclusions.

Key takeaways

The world of user research is a vast ocean. I enjoy delving deeper to understand what methodologies to use given a particular task or assessment. I find it challenging to gather and present the information needed in a case study and translate that into actionable and pleasant interfaces. I struggle with the research aspect of design, and I am glad I took this challenge to step outside my comfort zone and push myself to learn more about UX research. Do I want to be a product designer, or do I niche down to my visual prowess? Let's see how it goes.

References

• "Research Design (in 3 minutes) (YouTube) 18 Sep. 2020, https://www.youtube.com/watch?v=eJK1L6E1uFU

• "What Is a Research Design? Types, Guide, and Examples (Scribbr) 7 Jun. 2021, https://www.scribbr.com/methodology/research-design/.

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