See what is broken, brittle, or underused in an Airtable base before it turns into process debt.

Airtable Base Doctor inspects schema design, workflow habits, and sample data to produce a health score, concrete fixes, and previewable interfaces. Start in the public demo, then connect a real base when the OAuth flow lands.

Try demo Connect Airtable

Public demo first, no sign-in required
Airtable OAuth for real-base analysis in later phases
Schema-aware recommendations with confidence scores

What it checks

Four diagnostic lenses, each tuned to the way Airtable bases actually decay.

Structure

Schema gaps

Spot missing relationships, generic primary fields, and long-text columns that should be structured.

Operations

Workflow drift

Find status sprawl, missing due dates, and operational tables with no clear ownership model.

Integrity

Data quality risk

Surface null-heavy fields, repeated entities stored as plain text, and categories begging to be normalized.

Leverage

UX opportunities

Identify where a dashboard, intake form, approval flow, or client portal would make the base easier to use.

What it generates

Recommendations are useful, but previews make the opportunity obvious.

Dashboards

Generate workload, deadline, and status views from the structure already in the base.

Forms

Turn messy request tables into cleaner intake flows with field-aware input patterns.

Portals

Preview client-facing or approver-facing surfaces without rewriting the model by hand.