Research methods (analysis, interviews, survey) To begin with, you can establish assumptions along general lines such as :
This tagging will be specific to a particular project and should be meticulously thought out as your conclusions will be based on it. It is a way to anticipate a project and know what to expect. This reasoning then allows each hypothesis to be tested by comparing the expected result with the results of the experiment or observation. These are defined as a team in order to agree on their relevance. This means putting forward several hypotheses before the start of the UX research. For tagging, we can even speak about hypothetical-deductive reasoning. Scientists use this method to prove theories and hypotheses. They are therefore often used to track evidence of already known topics.ĭeductive reasoning proceeds from the general to the particular. Global tags mark applicable observations that are generally valid for multiple projects. A set of global tags is defined in advance with the entire team, as standardized application across projects requires a common understanding of when to apply them. In contrast, global tags provide a common foundation across projects and thus allow researchers to link insights from different studies. In both cases, these tags remain applicable and valid only for one project and will not make sense for other studies. When they are derived from research questions, for example. However, project-specific tags are sometimes created in advance.
You create them based on what the data is telling you, and you quickly adapt them as your understanding grows. Project tags help you make sense of the data according to its relevance. When you are analyzing data for a new research project, you do not know in advance the content of the data you will collect. Often they are defined and created as they emerge from the data itself, during the interview. Project-specific tags are applied to a specific study and change with each new research. We will see that there are two main tags for a good organization :
TAGGING DATA CREATOR HOW TO
In short, efficient tagging allows you to extract information without having to redo each search session or perform new ones.īut to succeed in extracting relevant information, you need to know how to find the right tag for the right use. Tags allow to structure but also to organize information in order to anticipate future questions and/or user problems. Provide new information from existing dataĭoes this seem impossible to you ? Well, you’re wrong ! To this extent, each statement should be tagged individually. Sure, the sentence was positive, but about what ? This funnel effect will allow you to have an organized and structured transcription. Later on, you can deepen your tagging with “subcategories”. Above all, this process must remain consistent.įor example, if a sentence contains a positive statement, the entire sentence should be tagged with “positive”. Tagging the most important parts of your data allows you to get structured results. To do this, you need to tag specific parts of the text. What does “tagging” actually mean? The goal is simply to allow you to draw conclusions from your transcripts in order to interpret and add value to your research. The only difference is that your tagging needs to be even more specific. This is exactly the same for your qualitative data analysis. In blogs or articles, its help users find key information and learn more about a certain topic. Get structured dataĬoding/tagging is a process of assigning a specific keyword to various pieces of content. There are some basic rules to follow but the taxonomy is constantly changing. The labeling must be adapted to your objective and your personal method. Keep in mind that each UX researcher has their own method of semantic analysis. The goal is to identify keywords that are consistent with your user’s needs in order to create useful tags to sort your answers efficiently and get insights. Having a mass of tags with poor added value will not help you. However, it is important to note that to be productive you must create key tags. Tags are the most efficient and flexible way to add data to files.