Blockchains emerge, evolve, and fork over time. Bitcoin (Nakamoto, 2008) and Ethereum (Buterin, 2013) demonstrate the dynamic nature of blockchains. The capabilities and unique distinctions of blockchain have become a source of interest for enterprises. Multiple taxonomies to classify and explain the fundamentals of blockchain are available in literature (Tasca and Tessone (2017), Xu et al. (20017), Yaga et al. (2018). Taxonomies offer definitions including common architecture and core terms to compare blockchains. The taxonomies serve as a foundation for further research into the technology but not for assessment. Subsequent studies have compared various blockchains and their attributes (Valenta and Sandner, 2017; Pongnumkul et al., 2017). Emerging research has provided an opportunity to leverage taxonomies and preliminary blockchain analysis to propose an assessment framework. Based on the available literature, this study offers a method of evaluation using taxonomies, analysis, and Information Systems theory. The literature demands research into blockchain platforms to aid the measurement and assessment of value for the industry. Risius and Sphrer (2017) state, “Regrettably, very little research has empirically investigated the strategies and tactics applied by companies or industries when working on a new blockchain solutions or action on existing blockchains” (pg. 399).