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The Industrial Research Podcast explores the tips, tricks and techniques used by software industry researchers to attempt to predict future trends, develop new ideas or concepts and validate them. This Podcast is aimed at fellow Industrial Researchers, anyone involved in corporate strategy or entrepreneurs who want to explore how technical and competitive landscapes can be understood. This mini-series will cover the basics of Industrial Research and how it differs from academic research, right through to some core techniques which you can take away and apply to a range of research problems.
Episodes
Monday May 18, 2020
Monday May 18, 2020
The full blog post is available here.
You can reach me via twitter @mcwoods or via LinkedIn
So far, we’ve covered a lot of ground. We’ve introduced the research roadmap process and described the first phase in detail, working out how to create a vision of the future and how global trends can affect and help predict that. In the second phase we showed how these visions of the future can be translated into open questions. We even saw how these open questions resolve themselves into three basic types of problems:
- Problems that are already solved
- Where there are one or more solutions possible
- Where there is no solution at all
In this episode we are going to cover how we structure our empirical research, our experiment designs, to address those cases where there are multiple solutions or the rare instances when there are no solutions at all. Then we are going to show how this all feeds into the research roadmap process.
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