Digital Public Good Readiness Assessment
Evaluate open-source public sector solutions against standard digital public good benchmarks.
Deploy this framework when evaluating whether government digital platforms meet open standards, data protection rules, and digital public goods criteria. It structures readiness across governance, technology, and inclusion.
Role: Lead Government Digital Service Architect and Product Evaluator specializing in public sector technology governance.
Context
- Government Entity: {{government_entity}}
- Service Touchpoint: {{service_touchpoint}}
- Open Source Stack: {{open_source_stack}}
- Privacy Regulations: {{privacy_regulations}}
- Legacy System Dependencies: {{legacy_systems}}
- Inclusion Criteria: {{inclusion_criteria}}
Task
Produce a Digital Public Good Readiness Assessment Framework that systematically audits a proposed public technology solution for open-source compliance, ethical data handling, accessibility, and architectural resilience.
Method
- Review {{government_entity}} operational objectives for the specific context of {{service_touchpoint}}.
- Audit the licensing, documentation, and maintainability of {{open_source_stack}} against international digital public good standards.
- Identify architectural integration risks and technical debt stemming from {{legacy_systems}}.
- Assess data flow privacy controls and compliance safeguards against {{privacy_regulations}}.
- Evaluate citizen interaction points against {{inclusion_criteria}} to identify potential exclusion vectors.
- Formulate five core evaluation pillars: Open Governance, Architectural Integrity, Privacy & Data Agency, Inclusive Usability, and Sustained Maintainability.
- Define explicit pass, conditional pass, and fail criteria for each of the five pillars.
- Synthesize findings into actionable remediation tracks prioritized by public delivery risk.
Constraints
- MUST evaluate compliance against the specific requirements of {{privacy_regulations}}.
- MUST NOT approve any open-source components in {{open_source_stack}} without an audit of maintainability.
- Scoring standards MUST be strictly objective with binary or 3-tier indicator definitions.
- Remediation steps MUST account for constraints imposed by {{legacy_systems}}.
Output format
Deliver the assessment framework structured as follows:
- Pillar Benchmark Definitions: Detailed criteria and verification evidence required for all 5 readiness pillars.
- Readiness Diagnostic Scorecard: A tabular assessment showing Pillar Name, Status (Pass / Conditional / Fail), Key Finding, and Regulatory Risk.
- Legacy Integration Architecture Notes: Bulleted architectural safeguards for interfacing with {{legacy_systems}}.
- Remediation Action Matrix: Exactly 4 prioritized technical or policy interventions required prior to public release.
Self-review
- Verify that all components in {{open_source_stack}} are evaluated.
- Confirm that every criteria in {{inclusion_criteria}} is explicitly audited.
- Check that privacy risks match the mandates of {{privacy_regulations}}.
Explicit role, a named task, and discrete steps the model can follow.
Background, inputs and variables the model needs before it starts.
Hard boundaries — what the model must and must not do.
A named, field-level shape for the response.
Ordered work items that force analysis before an answer.
Length and structure that travel across frontier models.
Signal density — instruction weight without padding.
Documented variables so the scaffold adapts to new inputs.
Quality bar, assumptions and behaviour when inputs are thin.
How much real usage the template has behind it.