![]() We used the QTT function to create a worksheet for each of the plausible alternate futures, so that we could distinguish them from each other, show a supporting body of evidence for any assertions or questions, and develop a unique document that gave the reader an insight into what the world might be like in that scenario. Evolution and Adoption of Artificial Intelligence.In a typical SBA, we might develop four alternate future scenarios – one baseline future in which everything continues along its current trajectory, and three alternatives in which we adjust the poles of the significant forces of change that we have previously identified.įor example, in a “Future of Work in Healthcare” topic, we identified four major forces of change Some SBA practitioners focus only on the dialogue and the narrative or the alternate futures, but we like to ensure that the scenarios we propose are not only plausible on their face, but have earned validity through the analysis of evidence, and that every key element of the scenario has provenance that can be traced to a source document or evidence. So rather than just letting fate deal us a future, we may have some influence on which future we eventually get. The goal is to help leadership to picture the conditions of potential future states, and to inform their thinking and decisions in a way that steers towards a preferred future. In the SBA approach, our team creates a number of scenarios that describe plausible alternative futures that will be used for strategic planning. This blog will address how QTT works using an example of scenario-based analysis (SBA) in strategic foresight. For example, the Questions, Themes, and Theories (QTT) feature in MAXQDA 2022 performs few operations or transformations, but it shapes how a researcher works in ways that optimizes time, reduces error, and maximizes the flow of thought. In this way, the software may not do much transformation or perform many operations on the data, but may prompt and sequence our actions in ways that improve efficiency and quality. Improve your research with the new QTT WorkspaceĪ second way in which qualitative data analysis software can improve efficiency and quality is to shape how we do our work. This kind of data operation greatly improves efficiency. With software, this is easy work that can be done accurately and in seconds. To do this manually in a corpus of a thousand documents would take months. Likewise, we can use MAXQDA to search for specific words or phrases, autocode them, and retrieve the sentences or paragraphs in which they occurred. To perform this manually would be highly impractical, and to do so on demand with only a day to do it would be impossible. We can then transform this into a word cloud in which the size of the font is proportional to the phrase prevalence in the document corpus. In MAXDictio, for example, we can sift through a thousand documents, and rank order 2–5-word phrases by the frequency in which they occurred in the document corpus and see how many occurrences there were, across how many of the documents, and the percentage of the occurrences by document or document group. Review a thousand documents in secondsįirstly, a qualitative data analysis software like MAXQDA can perform operations on data – it can sort, filter, or transform data in ways that would be impractical or impossible to do manually. We are typically more focused on the former, but it is sometimes the latter in which great benefit can be seen. ![]() It can transform data, or it can guide behavior. For us as a team it has proven to be very beneficial and I will tell you why: Software can greatly improve the quality and efficiency of research work in two ways. What is the advantage of QDA software in data analysis?īefore I go into detail about MAXQDA’s QTT, I would like to give you a brief overview of the advantages of working with a QDA software. In this blog, MAXQDA expert and healthcare analyst Matthew Loxton shows how MAXQDA 2022’s new workspace, the QTT (Questions, Themes and Theories) can be used to explore an alternative future, using scenario-based analysis (SBA) in strategic foresight as an example. What if drones one day took over the work of emergency physicians? If they provided care and extraction directly at the scene of an accident? Sounds like science fiction, but it’s a scenario that is actually being researched.
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