Like learning a new language, scaling an enterprise is full of unknowns, imperfect attempts and lessons for the future. Enterprise accelerators often serve as translators between their participants and the outside world. In doing so, accelerators must decipher between what they assume will be effective and what the enterprises they serve want and need. How can enterprise accelerators crack the code?
The learnings help other accelerators accelerate themselves, get ahead of some of our pivots, and find ways to build in real-time learning.
Toolkits referenced – https://globalhealth.duke.edu/news/dghis-evidence-lab-creates-evaluation-toolkit-healthcare-innovators
https://centers.fuqua.duke.edu/case/2020/10/09/decoding-the-abcs-of-effective-enterprise-acceleration-10-lessons-from-sead/
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