Adoption Readiness Levels (ARL) Framework

Addressing technical challenges is necessary but not sufficient to successfully commercialize and scale a new technology. Technology commercialization also requires addressing non-technical market and adoption challenges.

The Adoption Readiness Level (ARL) framework can help identify adoption risks and opportunities and support the successful commercialization of new technologies. 

The Adoption Readiness Level framework is a commercialization guide—covering a comprehensive range of adoption risks that technologies can face. Identifying and addressing adoption risks early and often can accelerate technology commercialization.

What is the ARL framework?

 

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The ARL framework is a tool to assess the commercialization risks facing a technology as it crosses the Research, Development, Demonstration, and Deployment (RDD&D) continuum to reach successful commercialization. The ARL framework complements the widely adopted Technology Readiness Levels (TRL) framework by extending beyond the technical risks that technologies face on their commercialization journeys to capture other commercialization risks. It consists of 17 dimensions that fall into four risk buckets:

  • Value Proposition—Assesses the ability for a new technology to meet the functionality required by the market at a price point that customers are willing to pay, to meet the market demand (a broadened definition of “product-market fit”).
  • Market Acceptance—Captures the target market(s) demand characteristics and risks posed by existing players — including competitors, customers, and other value chain players.
  • Resource Maturity—Determines risks standing in the way of inputs that are needed to produce the technology solution.
  • License to Operate—Identifies the societal (national, state, and local), non-economic risks that can hinder the deployment of a technology.

Learn more about the core risk areas assessed in the ARL framework HERE.

ARL risk dimensions can be assessed and translated into a 1 to 9 adoption readiness score (ARL score) that generally indicates a technology’s status. However, the value of the ARL framework lies in its ability to show exactly which dimensions present the key barriers to commercial adoption. 

To learn more about how ARLs can be applied in real-world technology commercialization efforts, watch the ARL Framework Overview webinar HERE. 

Download the Adoption Readiness Assessment Tool HERE.

Why use ARLs?

The ARL framework was developed by the U.S. Department of Energy’s Office of Technology Commercialization (OTC) in partnership with industry stakeholders to support OTC's mission—enabling technology commercialization across the Department of Energy and beyond.

Commercialization is a core part of the U.S. Department of Energy’s (DOE) mission. The public dollars DOE invests in its technology portfolio can achieve their maximum impact when technologies traverse the RDD&D continuum to attain commercial deployment. The ARL framework is one of a suite of tools, programs, and activities developed by OTC to support the DOE’s mission.

Watch the video below for an in-depth introduction to ARLs.

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Adooption Readiness Levels - Introduction
U.S. Dept. of Energy

Who uses ARLs?

The ARL framework can be used by all participants in the commercialization ecosystem: from technologists and entrepreneurs to National Lab commercialization professionals and technology incubators to financial institutions providing funding. DOE offices use ARLs to inform program design, investment, and risk management decisions.

Today’s ARL users include:

  • Technologists, incubators, researchers
  • National Labs
  • Universities and academia
  • DOE program offices 
  • Project managers
  • Industry think tanks, investors, and insurance

Learn more about ARL users HERE.

We continue to develop and refine this framework via ongoing engagement with private and public sector stakeholders. For further information, please reach out to us at  ARL@hq.doe.gov.

Success Stories

Click the tabs below to explore projects where the ARL framework has been successfully implemented.