My initial stage of desk research involved an in-depth study of the user flow that researchers typically follow in various fields. I gathered data and examined several models to construct my own user flow based on the findings from this extensive research. Following this, I crafted an information architecture that would serve as a roadmap for the rest of my work.

In the subsequent phase, I delved into exploring how artificial intelligence (AI) could be integrated into each step of the research process. I aimed to identify areas where AI could augment and streamline the workflow. To visualize my ideas and findings, I started creating a mood board that portrayed the potential synergy of AI and research. Furthermore, I sketched some preliminary wireframes that depicted how this integration might materialize in practical terms.

Next, I turned my attention to the multitude of research methods that researchers employ during their research processes. I did a comprehensive research to understand how each of these methods would evolve when powered by AI. This involved assessing the adaptability of each method to AI integration and visualizing the potential outcomes.

Once I had a clearer understanding of this, I created another mood board to visually represent my findings. I also produced a few more wireframes that illustrated how AI could potentially transform various research methods.

The culmination of this research process was the creation of a synthesis UX report. This report encapsulated the findings from a comprehensive UX research study conducted to evaluate current trends in AI data representation. It included an analysis of the effectiveness of different report presentation techniques, thus providing valuable guidelines for future work in this area.

Building upon the synthesis UX report, I then proceeded to analyze the implications of the findings. I evaluated the potential changes that AI could bring in the research field, both in terms of methodology and outcome. I also started exploring the challenges that researchers might face while incorporating AI into their workflows, and began contemplating potential solutions.

The next stage involved seeking external inputs and perspectives. I reached out to various UX research and Design professionals and AI experts to gather their insights and feedback on my findings. I conducted detailed interviews, focusing on their views about the viability of AI-powered research methods and the potential obstacles in their implementation.

Incorporating these external perspectives led to the refinement of my initial ideas and assumptions. I revisited the mood board and wireframes, updating them to reflect the new insights and feedback. I also revised the information architecture, ensuring that it aligned with the evolving understanding of the subject. Subsequently, I conducted a series of usability tests to verify the effectiveness of the proposed AI-powered research methods.

After several iterations and refinements, I was able to arrive at a more robust and practical model of AI-powered research methods. I encapsulated all these findings and developments in a comprehensive final report. This report not only detailed the journey and outcomes of my research but also provided a set of guidelines and recommendations for researchers planning to incorporate AI into their research process.