METHODOLOGY

Methodology for
Micro-Credential Design

A practical framework for designing recognition-ready micro-credentials in non-formal education, vocational education and training (VET), and lifelong learning contexts.

The LiberateSkills Methodology for Micro-Credential Design provides training providers, educational organisations, project partners, and other actors involved in competence development with a structured approach for designing transparent, credible, assessable, and verifiable micro-credentials.

Built around the European approach to micro-credentials, the methodology is based on a fundamental principle: a micro-credential is not simply a shorter course or a certificate of participation. It represents a structured and defensible claim about demonstrated competence, supported by clearly defined learning outcomes, appropriate evidence, transparent assessment, and accountable issuance.

The micro-credential lifecycle

01
Purpose and context – defining why the micro-credential exists, for whom it is designed, and in what context it is expected to be used.
02
Competence and learning outcomes – defining a coherent unit of competence through clear, observable, and assessable learning outcomes.
03
Learning activities and evidence – distinguishing between the learning path and the evidence required to demonstrate achievement.
04
Assessment and validation – establishing transparent assessment criteria and mechanisms that safeguard assessment integrity.
05
Claims and metadata – translating assessed achievements into precise, limited, and defensible credential claims.
06
Issuance and verifiability – ensuring issuer accountability, learner ownership, transparency, and independent third-party verification.

The methodology also provides practical guidance on Recognition of Prior Learning (RPL), EQF level assignment, ESCO alignment, assessment and validation roles, quality assurance, governance, public credential catalogues, common design pitfalls, and implementation examples.

Core principle

Micro-credentials do not guarantee recognition.
They enable informed recognition decisions.

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