In this video, I will demonstrate how you can use InfraNodus visual text network analysis app in combination with GPT AI models to analyze a market discourse and develop an innovation strategy.
The workflow step-by-step:
1) Understand the customers' pain
2) Find the aspects that bother them
3) Develop ideas that bridge the gaps
4) Analyzing cutting-edge ideas in the current scientific discourse
5) Analyzing the industry's conference discourse
To try it on your own data:
Video Timecodes:
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0:00 Introduction
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Part 1: Analyzing customers' feedback
0:31 Analyzing open survey responses to understand the customers' problems
0:45 How text network analysis works
1:54 Revealing the main problems in the customers' discourse
3:10 Writing down your insights into project notes
5:23 Transforming our insight into actionable strategy
8:04 Connecting the structural gaps between the ideas
10:40 Using ChatGPT to query the market discourse and writing down your insights
14:00 Generate a summary of your project notes using GPT-3 AI
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Part 2: Finding cutting-edge innovative ideas
14:54 Analyzing the most innovative scientific discourse
15:59 Why visual analysis is effective?
16:54 Detecting unusual patterns in data — that's why graphs are so useful!
17:24 Selecting ideas on the graph and Googling them
19:47 Analyzing cutting-edge topics in an industry using conference topic analysis
21:15 Finding gaps in the industry's discourse to generate ideas
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21:40 Conclusion and summary
Try it out on
