Research Institute Environment

FRAUNHOFER PROJECT: TECHNOLOGY ADOPTION RESEARCH ORGANISATION: Fraunhofer UMSICHT CATEGORY: TECHNOLOGY ADOPTION RESEARCH | [Foundation] [System] | Behavioral frameworks adopted by 12+ teams YEAR: 2012 – 2014 WHERE I LEARNED HOW RESEARCH ACTUALLY WORKS Before Fraunhofer, I thought research was about finding answers. I was wrong. THE KITCHEN, NOT THE RESTAURANT I arrived as a Researcher supporting PhD candidates and senior scientists. My job: find papers, locate sources, support investigations. The research equivalent of prep cook. But I was in the kitchen. I watched how hypotheses got tested. How questions got sharpened. How evidence got weighed. How frameworks got built that teams could actually use—not just impressive findings that sat in reports. WHAT I ACTUALLY DID I supported behavioral research on technology adoption. Why did promising innovations fail in the market despite strong technical merit? The pattern was consistent: organizations designed for assumed behavior, not actual behavior. The gap between what engineers thought users would do and what users actually did explained most adoption failures. I helped build research insights and frameworks that made this gap visible—tools that 3+ development teams could use to ask better questions before building, not after launching. WHAT STAYED WITH ME Two things. First: Research infrastructure outlasts individual insights. The frameworks we built remained in use years after I left. That longevity became my standard for what good research should deliver. Second: The back-and-forth of rigorous investigation—questioning assumptions, testing hypotheses, refining frameworks—is exactly the capability I now use daily with AI tools. Fraunhofer trained me to have structured conversations with complex systems. The systems have changed. The skill hasn't.