Factors Of Atomic UX Research You Must Need To Know

Atomic UX Study is a system for organizing and retrieving qualitative research data. Tomer Sharon created the word while working on the Polaris framework at WeWork.

Atoms are the minor research pieces – observations such as tagged user quotations or video clips – that you may assemble, exhibit, and share to support your theories.

Atomic UX Research lets you record your results systematically and connect your conclusions to the original data. Instead of writing long PDF reports, you create a corpus of searchable, granular research insights that compound over time and may come in handy to answer new research questions.

The fragmentation of data that arises from user testing, quantitative surveys, and other marketing measures is a regular difficulty for every organization that utilizes them. Varied hosts, different files and applications, and sporadic storage make the absence of standardization a severe issue.

Determining if an experiment has previously been sorted out and interpreting its findings is hard for every new employee or outside supplier.

Consolidating all studies into a single database is one of the most significant promises of atomic research. This data source is searchable, sharable, readily available, precise, industrialized, and adaptable.

Thus, all design, marketing, sales, and data analysis departments would have access to and be able to interpret the results of an online survey conducted by the mobile application design team. The atomic design method was heavily influenced by chemistry. All matter in chemistry, except for dark matter, is composed of molecules and atoms.

Atoms are the fundamental building blocks of chemistry and minor units of matter. In addition, they possess particular physical and chemical features. Let’s take oxygen.

It is an odorless, tasteless, and colorless gas that helps combustion but does not itself burn. It is capable of combining with other atoms.

For example, the formula for water is two hydrogen atoms and one oxygen atom. Also capable of forming chemical connections with other elements is oxygen. Iron oxide, sometimes known as rust, is a chemical composed of iron and oxygen.

Atoms have distinct characteristics that, when united, resulting in the formation of various compounds. Like atoms in chemistry, atomic mobile application design interfaces are composed of tiny, reusable building components. Additionally, they possess their properties.

What are the fundamentals of atomic research?

Nuggets in atomic research are tag-gable and searchable research material supported by evidence such as quotations, videos, images, and other research-related proof. These nuggets comply with an established procedure and business taxonomy for setup and administration.

Nuggets include three primary components that simplify the administration of atomic UX research in your UX research repository. These elements include:

Observations

Observation compilation is a critical aspect of user research. As with qualitative research, these observations collect information from the research study that has a brief existence. Without observations, it is common for insights to lose essential and reliable information over time.

Evidence

The evidence is the most straightforward component of using nuggets in atomic research. This component comprises video, photos, text, audio, and more supporting material.

Tags

Tags are the fundamental element of the nuggets since they make the research and insights accessible and indexable. This stage comprises several components, including information regarding methodology, research methodologies, procedures, and demographics.

To get the most out of tags, it is essential to record experience (emotions, frequency, magnitude) additionally, business (revenue, business units, product), and service-oriented (buy behavior and trip, physical environment) data to ensure that the information is as comprehensive as possible.

Approaches to UX research

When you do UX research, you’ll be able to provide people with the most effective solutions since you can determine precisely what they need. UX research may be implemented at any level of the web and application design process.

To discover user motivations and wants, UX researchers often start with qualitative measurements. Later, they may use quantitative methods to evaluate their findings.

When collecting data from your users, you must use an organized approach if you want to conduct effective UX research.

It is crucial to use research methodologies that are appropriate for the objective of your study and provide the most transparent results.

Qualitative Investigation

Using interviews and ethnographic field studies, you strive to get an in-depth knowledge of why consumers behave in a particular manner (e.g., why they missed a call to action, why they feel how they do about a website).

For instance, you may conduct user interviews with a small group of users and ask them open-ended questions about their exercise routines to get personal insight. Usability testing is another qualitative research for assessing (for instance) the users’ stress levels.

Carefully do qualitative research. As it includes the collection of non-numerical data (e.g., views, motives), there is a chance that your ideas may impact the results.

Quantitative Research

Using more formal approaches (e.g., surveys, analytics), you collect quantifiable data about what users do and test your qualitative research-derived hypotheses.

For instance, you may conduct an online poll asking people about their exercise habits (e.g., “How many hours do you exercise each week?”). With this information, you may identify trends among a broad user population.

If you have a big enough sample of representative test users, you will have a more statistically accurate method for evaluating the target user group.

With a good study application design, you may collect objective data that is not regulated by your presence, personality, or preconceptions, regardless of the technique that is made use of.

However, quantitative statistics cannot disclose more profound human insights on their own.

What are the advantages of a good repository for UX research?

UX research is an arduous endeavor, but there is little question that the benefits significantly outweigh the effort. Conversely, a robust UX research repository may increase this value by breaking down communication silos, boosting information openness, and assuring better processes. Consequently, you will be able to:

Save a great deal of time

A substantial UX research repository will save you time by enabling you to access your UX data quickly and simply from a centralized place.

Maintain the organization of your UX data

A well-organized UX research repository can help you maintain the organization of your UX data, making it simpler to discover and utilize when necessary.

Make your UX information available to others

Using a UX research repository will make your UX data viewable and usable by others, making it a great collaboration tool.

Maintain a record of your UX research process

A UX research repository may assist you in documenting and monitoring your research process, making it simpler to iterate, repeat, and enhance in the future.

Conclusion

User Research is incapable of producing absolute truths. When evaluating and reusing study data, context is vital. It requires the ability of a researcher to contextualize results and explain under what conditions the learnings are valid.

While atomic research does not disregard context, it tends to place the discovery in the front and the context in the background. Therefore, there is a possibility that crucial judgments are on erroneous or inaccurate data.

PWDR routinely summarizes results to address research questions while performing an investigation. These results can include in the repository without mitigation.

However, further work is required to arrange nuggets and make them accessible to others. PWDR would be required to link nuggets to related subjects after each study, regardless of their relevance to the original research question. This cost quickly becomes an obstacle for rapid and agile research.

One may argue that firms do not always adhere to the specific parameters of a project. To address research questions, you may choose to synthesize information from many studies. You are correct! We are all in favor of data triangulation.

Nevertheless, there are two significant differences. First, we think stakeholders should not engage in triangulation (read: anyone in the company). To maintain a high level of quality, research-trained individuals (PWDR) should be spoken for and guarantee the correct usage of raw data.

Second, triangulating data on demand to answer particular queries is more efficient. It should not be a recurring need whenever new data is uploaded to the repository.