DPP readiness is the reported ability to identify applicable needs, assemble structured and supportable product information, manage suppliers and evidence, operate appropriate systems and maintain accountable governance.
The six readiness dimensions
Product data
Controlled identifiers, structured fields, quality, provenance, ownership and versions.
Supplier data
Supplier relationships, information requests, validation, status and escalation.
Traceability
Appropriate granularity, persistent identifiers, upstream links and retrievable event history.
Evidence
Searchable documents, structured metadata, entity links, access and review monitoring.
Systems
Authoritative sources, consistent definitions, controlled exchange and publishing controls.
Governance
Applicability analysis, ownership, procedures, roadmap and regulatory monitoring.
What the score means
The readiness assessment provides a conservative self-reported operational score. It helps prioritise investigation and improvement. It is not evidence of legal applicability, conformity, certification or regulatory approval.
- Every question and category has equal weight in model v1.0.
- Not sure earns no readiness credit and creates an evidence-verification gap.
- High classifications require balanced category performance, not only a high average.
- Foundational controls create an additional guardrail for the Advanced tier.
- The complete deterministic result renders without an AI service.
Move from score to controlled remediation
A useful result names the missing capability, the accountable owner, the evidence required to establish it and the test that demonstrates completion. A score should become a versioned roadmap rather than a marketing badge.
Regulatory disclaimer. This content provides general diagnostic and preparation information. It is not legal advice, certification or regulatory approval. Requirements may differ by product category, jurisdiction, market and supply-chain role and may change over time.