Hey there!! I am probably dozing by the window, please give me a bit more time :)🔗 I have unique discernment when analyzing data.
With years of self-exploration and practice, I can now say that my innate sensitive character has become my secret weapon, which also facilitates my research data analysis. It allows me to sharply detect the connections between two things far apart and then fit them into a broader system. Building high-level frameworks is my common thinking pattern. It takes place when I cluster the interview notes, map out the user journey, or describe the interrelated factors in the products.
Note: Images are intentionally presented in low resolution.
Example #1: Cluster qualitative data and make distant connections
These are the notes extracted from my interviews with information specialists. The emerging patterns were later transformed into an untraditional journey map, describing the journey of an “inquiry”–how it was raised from the frontend and addressed in the backend.
Example #2: Establish frameworks to describe the system holistically
I created the process flow of how inquiries are handled in the backend to sort out the research questions to explore.
Spotting the underlying triangle relationship between food-nature-human while clustering the notes.
Example #3: Analyze the problem with an investigation mindset
“What caused the call volume drop?” “What caused the traffic to decline?” As a researcher, I frequently receive and observe incidents like this, which prompt me to investigate the reasons and conclude with solid evidence.
Example #4: Use frameworks to present the findings of competitor analysis
This was a round of competitor analysis conducted on industrial products with GenAI features. While organizing the best structure to present the findings, I came up with this list of key questions for frontend and backend design.