How can maturity models be extended beyond a simple rating to deliver recommendations, prioritised actions, and a path forward — and automated to remove the friction of doing so?
Maturity models are a staple diagnostic tool in enterprise architecture and information systems — but in practice, their value is often squandered. Organisations complete an assessment, receive a score, and are left to figure out what to do next. The friction of collecting data, calculating ratings, and managing results over time further discourages repeated use. This paper tackles both problems: how to extend the model itself to provide genuine guidance, and how to automate the process so that the effort of running an assessment becomes trivial.
The paper presents a generic domain model for maturity assessment, developed and validated at Inspired.org, which supports not just scoring across multiple dimensions but also recommendations tied to each gap between maturity levels, with relative effort ratings and dependency relationships between recommended actions. An algorithm prioritises recommendations by combining score gaps, effort, and dependency order — producing a ranked, actionable improvement plan rather than a list of observations. The domain model was implemented in the EVA platform in approximately two hours, with the full online assessment flow — including Kiviat chart scoring, recommendation presentation, action selection, and Gantt chart export — delivered in under a week. APIs were subsequently added to support integration with partner systems, adding around three days of effort.
The paper concludes with a reflection on Return on Modelling Effort (ROME): working at the domain concept level, rather than writing custom application code, enabled rapid delivery, easy adaptation, and high reuse — making this a compelling case for meta model-driven, low-code approaches to enterprise tooling.
Pages: 12
Originally published as a journal article by Graham McLeod in the EMISA Journal (Enterprise Modelling and Information Systems Architectures), with a companion presentation at the Models at Work stream, PoEM 2022.