Head Start monitoring · FA1 / FA2
Analyze your monitoring data and clarify your data story. Review Ready AI reads an agency's de-identified ChildPlus exports the way a federal reviewer will, then hands you a ranked Review-Readiness Scorecard — evidence, risk levels and a 30-day corrective roadmap. A Head Start Data Strategist confirms your results before they carry your letterhead.
Free trial: one de-identified export, no card. Graded only against the official FA1/FA2 question set loaded in the workspace.
What comes back
One scorecard, the same seven sections every time — so every client engagement looks like it came from the same disciplined practice.
Why use Review Ready AI
Federal monitoring turns on whether the data can defend the program. Review Ready AI gives an agency — and the consultant advising it — a defensible read of that data while there is still time to act on it.
Eleven exports, cross-checked against every applicable question, ranked by exposure. What normally takes a team days of spreadsheet pivots comes back as a drafted scorecard you review instead of assemble.
Findings are ranked Critical → Clean with the data pattern behind each one, so leadership spends its prep time on what a reviewer would actually pull — not on whatever came up in the last staff meeting.
Each item cites the export and the non-identifying ChildID behind it. When a director asks "how do you know?", you can show them instead of explaining the model.
The scorecard ends in sequenced corrective actions your agency can start Monday — the difference between a report that gets filed and one that changes the outcome.
The official FA1/FA2 question set, the export checklist and the scorecard format are already built in — so this year's audit is directly comparable to last year's instead of a fresh improvisation.
De-identification is enforced in the workflow, exports are never exposed outside your workspace, and each consultant sees only their own clients.
Typical prep
With Review Ready AI
Sampling 20 files by hand and hoping they represent the other 300
Every row in every loaded export considered
Enrollment, attendance and PIR reviewed in separate silos
Cross-report reconciliation that surfaces contradictions
A narrative memo the agency reads once
A ranked scorecard with owners, evidence and a 30-day plan
Findings discovered by the reviewer, on the record
Findings discovered by you, while there's still time to fix them
Five steps from the data request to a scorecard your leadership team can open. Your staff pull exports; we handle the rest.
A printable checklist naming the exact ChildPlus reports to pull and the columns to deselect, so your ERSEA and family services staff know precisely what to hand over.
Each export is saved under its module label in your project. Any file still carrying names, DOB, SSN, address, phone or email is refused before the engine ever sees it.
The current FA1/FA2 question set is already in the workspace and loaded with one click — and updated when OHS revises it. Nothing is graded from a model's memory.
Coverage, ranked gaps, reconciliation and a 30-day roadmap come back as a draft. A Head Start Data Strategist works Section 7 and confirms every finding before it reaches you.
Your leadership team opens the finished scorecard through a private link — no logins to manage, and access can be revoked at any time.
The reasons your agency can trust the output — and the reasons a consultant can put their name on it.
OHS moved from 449 questions in FY25 to 203 in FY26. Any AI reciting "the FA1 questions" from memory is giving you a stale or invented set. This engine grades only against the official FA1/FA2 set loaded in the workspace, replaced whenever OHS revises it.
ChildPlus exports carry child PII (FERPA / Head Start confidentiality). Files with names, DOB, SSN, address, phone or email are rejected on upload — before the engine reads them. Keep a non-identifying ChildID so findings stay traceable.
No scorecard is delivered straight out of the engine. Section 7 lists what must be verified, and a strategist works that pass and confirms each finding before your team sees it.
One shared vocabulary for triage, so leadership argues about priorities instead of definitions.
Critical
Likely a finding if pulled today
High
Pattern suggests noncompliance
Moderate
Integrity gap; undermines confidence
Clean
Meets expectation on available data
Not data-evaluable
Interview / observation / fiscal
Out of scope because it isn't in ChildPlus: governance interviews, fiscal systems, classroom / class observations. Those questions get flagged, never guessed.
One export won't cut it. Map these functions to your exact ChildPlus report names once, then reuse the list with every client.
FA1
ENROLLMENT
Enrollment vs. Funded Enrollment
FA1
ATTENDANCE
Attendance / Average Daily Attendance
FA1
ELIGIBILITY
Report 2025 Enrollment Priority Listing (name column deselected) + enrollment notes with no family names
FA2
HEALTH
Health Requirements — physicals, dental
FA2
IMMUNIZATIONS
Immunization status
FA2
SCREENINGS
Developmental / behavioral / sensory
FA2
DISABILITIES
IEP / IFSP tracking & services
FA2
FAMILY SERVICES
Partnership agreements, needs assessments
FA2
ASSESSMENT
Ongoing Assessment / School Readiness
Cross
ROSTER
Master child roster
Cross
PIR
PIR / PIR-prep report
No — and it's designed not to. Every run ends with Section 7, a validation pass listing what must be confirmed before delivery, and a Head Start Data Strategist confirms the results. The scorecard is a well-evidenced draft; a person remains the author of record.
The official FA1/FA2 set is loaded into the workspace and replaced when OHS revises it. OHS moved from 449 questions in FY25 to 203 in FY26, so any tool reciting "the FA1 questions" from memory is working from a stale or invented set. Only the loaded question bank grades your data.
Exports must be de-identified before loading — no names, DOB, SSN or address. Keep the non-identifying ChildID so findings stay traceable without exposing a child.
Anything that isn't in ChildPlus: governance interviews, fiscal systems, classroom / class observations. Those questions are flagged as not data-evaluable, never guessed.
See it on your own data
Create a free account, upload a single de-identified export, and get a Readiness Snapshot back: what that file could and couldn't answer, your top three exposures with evidence, and the data-integrity notes underneath them.
Tell us about the agency and the review window. We'll run a live audit against your own de-identified exports and talk through what it surfaces.
Pull the exports on the data request sheet and you'll have a ranked, evidence-backed readiness draft the same week — confirmed by a Head Start Data Strategist before it reaches your team.