Readiness check

Readiness Check

Get a shorter workflow snapshot and see what still blocks dependable reuse.

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

Active 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.

View current areaQuick view

What the readiness check emphasizes

A shorter workflow snapshot for quick decisions

A current workflow state grounded in deterministic logic
What still blocks stronger reuse and control
Explicit capability gaps with a clean first-pass summary
A lighter assessment surface that still stays specific

When to use it

Use the readiness check when the room needs a fast workflow snapshot.

Choose the readiness check for first-pass qualification and quick workflow snapshots where speed matters.

What changes after the report

You can escalate to the full DQ assessment without losing the logic.

The readiness check is the lighter wrapper. The full DQ view stays available when you need the blocker-level diagnosis behind the snapshot.