#3 Some challengesįor the implementation to work, we have to convince our colleagues to use the tool, or to make their data available so that a person taking on the role of secretary is responsible for entering it. ![]() She participates directly in the evangelization of user-centered approaches and also facilitates communication between UX designers and other teams in the organization. For the most important structures including several teams of UX Researchers, AB testers, etc., it also makes it possible to ensure that a test has not already been carried out and to avoid duplication between teams.Ī database of user test results leads to greater transparency in the work of UX teams. It allows us to review what has already been undertaken and learned about our users. Entered into a database and tagged, we are sure to find it when we need it.Ĭonsulting our database can become one of the first steps in user research at the start of a project. It will perhaps, for the sake of completeness, be included in a report, but if we do not associate it with action at the time, we will no longer think of looking for it when the subject becomes relevant. Without Atomic UX Research, this data risks being obscured. Another common phenomenon: during a test or a user interview, we will collect “off-topic” data, which will not immediately interest us. However, some learnings, insights or guidelines may remain relevant for future projects. Our reports always end up gathering dust, especially when UX recommendations have been implemented. Taking the example of an e-commerce site, all insights users who relate to the product page can be called up with a few clicks, whereas in the past it would have been necessary to read several reports, presentations, e-mail chains to find part of the data.Ĭolumns and tags on Airtable to sort and filter entries With Atomic UX Research, and extensive UX or user data entry background work, we can filter our database to retrieve all insights and conclusions on a given subject, and these entries are based on facts verifiable that can be consulted. If we want to cross with data from customer support, Google Analytics, opinions on social networks, etc. With our traditional methods, the data of our UX teams will end up in a multitude of software and documents (text, spreadsheet, presentations, screenshots, etc.), hosted in different places (Teams, Sharepoint, Drive, E-mails, Slack…). User insights created on Airtable #2 Benefits of Atomic Research The tool can be used instead of or in addition to taking notes during user tests, for example, but above all it allows us to build a database of our UX knowledge. In plus connections between each entry, these tools allow them to be tagged, for example by subject, component, device, country, priority, etc. In the same way, the insights lead to conclusions. We can then deduce insights connected to one or more facts from one or more personal experiences. Slightly different alternatives already exist, such as Dovetail and Consider.ly, while other more flexible tools are being used for this purpose, such as Notion or Airtable.Īll allow you to enter data, facts associated with projects, personal experiences. The tools are gradually emerging: unfortunately the beta version of Daniel Pidcock's Glean.ly software is still in limited access. #1 Apply Atomic Researchīut before talking about these advantages, let's talk about the implementation of this method. This way of dividing the data and interconnecting it has many advantages compared to traditional analysis methods, where each test will be processed independently of the others. Pidcock breaks this model down as follows: personal experiences “what we did…”, the facts “what teaches us that…”, the insights “which makes us think that…”, the conclusions “…so we’re going to do that.” The C conclusions, or UX recommendations, are in turn tested with new personal experiences in an iterative loop. " that is to say a new way to organize UX knowledge in an infinitely powerful way. ![]() Pidcock introduces it thus: “ a new way to organize UX knowledge in an infinitely powerful manner. This data can then be broken down, categorized, connected and cross-referenced to identify trends. Atomic UX Research is an approach by Daniel Pidcock, inspired by Atomic Design and allowing to organize data resulting from user research.
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