Method

How the diagnostic works, what it stores, and what it does not claim

This alpha is built for transparency. The scoring engine is deterministic, the report assistant is optional, and the source basis is stated clearly.

Deterministic corePublic alphaPDF export

Design stance

Deterministic scoring, readable outputs, and explicit limits.

Logic

Primary-literature-grounded, deterministic scoring with explicit blockers and rationale.

Output

Readable reports, stronger charts, and artifacts that hold up in planning and review.

Two areas

DQ is the fuller six-dimension diagnostic. Readiness Check is the shorter workflow snapshot.

DQ

Data Quality Diagnostic

Open area

Diagnose the operating dimensions that determine whether a workflow can be trusted, reused, and prepared for controlled AI use.

Use the Data Quality Diagnostic when you need the fuller diagnosis first: where trust breaks, where structure collapses, and what to fix next.

Open Data Quality DiagnosticFull diagnostic

RC

Readiness Check

Open area

Estimate the current workflow condition and show what still blocks dependable reuse.

Use the Readiness Check when you need a shorter first-pass snapshot with explicit capability gaps.

Open Readiness CheckQuick view

Method

  • The Data Quality Diagnostic is the primary product. It scores six diagnostic dimensions deterministically from the questionnaire and optional evidence inputs.
  • The Readiness Check compresses the same evidence into a shorter workflow snapshot with explicit capability gaps.
  • The report assistant can help interpret a finished report, but it does not change scores, top blockers, workflow state, or AI suitability.

Privacy

  • Assessment answers, saved reports, and report history are stored in this browser for alpha convenience only.
  • Raw CSV evidence and pasted free-text notes are processed in the active tab and are not retained in draft autosave.
  • Do not upload PII, confidential employee records, or anything you are not authorized to use in this tool.
  • Share links are portable report snapshots. They carry the report output in the URL fragment, so only share them deliberately.

External enrichment

  • This alpha does not run automatic company-search or web-enrichment behind the scenes.
  • Recommendations come from the questionnaire, deterministic scoring model, optional user-provided evidence, and optional report chat context.
  • Any future external enrichment should be opt-in, tied to named sources, and kept separate from the core quality and readiness scoring logic.

Alpha limitations

  • This public alpha is improving accessibility and security, but it is not claiming formal WCAG 2.2 AA, OWASP, or regulatory certification yet.
  • AI chat availability can be limited because provider usage is budget-capped and rate-limited.
  • Browser-local storage is a temporary alpha design, not the final persistence architecture.
  • AI assistant responses can be wrong or incomplete and should not be treated as legal, compliance, or employment advice.