01 · DELIVERABLE
Indicator-to-source mapping
Confirm the exact format, accountable reviewer and acceptance criteria in the written scope before work begins.
Programme managers and donor-reporting teams · Worldwide online
M&E data quality assessment
Trace each reported indicator back to its definition, denominator and source records.
Request Data Quality Audit →Inspect real dataset evidenceTHE BUYER PROBLEM
Resolve the decision behind the request.
A correct total can still use the wrong eligibility window or denominator, making comparisons misleading.
HOW THE WORK MOVES
Scope first. Traceable decisions throughout.
- Fix the reporting period and indicator definition
- Reconcile numerator and denominator
- Check disaggregation and missingness
- Document reporting caveats
Professional delivery uses the existing canonical project and case workflow. Independent QA and release approval are distinct decisions; unresolved findings remain visible.
What the agreed scope can deliver
02 · DELIVERABLE
Reconciliation and disaggregation review
Confirm the exact format, accountable reviewer and acceptance criteria in the written scope before work begins.
03 · DELIVERABLE
Corrective-action register with owners
Confirm the exact format, accountable reviewer and acceptance criteria in the written scope before work begins.
Methods, assumptions and boundaries
A data quality assessment reviews evidence fitness; it does not certify programme effectiveness or donor compliance.
Source values are preserved; changes require documented reasons. Analysis needs a defined outcome, population, design and eligible records. Review may withhold an unsupported test or conclusion.
Read the RMA methodology →Start with context. Transfer data privately.
The public fit check asks for objectives, stage and constraints. Do not paste participant names, health records, passwords or connector tokens. Access, permitted data, retention and export/deletion arrangements are confirmed before private transfer.
Review data-handling boundaries →Is this a fit?
For programme managers and donor-reporting teams who can explain the intended decision, provide authorised evidence and accept transparent limitations.
Outside scope: fabricated data, guaranteed significance, thesis ghostwriting, clinical decision-making or claims of regulatory certification.
Before you start
What does the first enquiry commit me to?
Nothing is charged through the fit-check form. RMA reviews scope and confirms deliverables, exclusions, timing and price in writing.
Will I need a personal or organisation workspace?
Your team uses the existing Organisation Workspace with personal accounts and project permissions. A professional service is linked to the canonical case; it does not create a separate portal.
Can you guarantee an outcome or approval?
No. Findings depend on the source data and design. QA checks the agreed evidence and cannot guarantee significance, graduation, grant funding or publication.
Prepare a stronger brief.
Research operations overview · Free research tools · Organisation product tour
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