Validate the evidence
Check functionality, output completeness and subsidy records before interpreting performance.

A performance framework that connects unit records, evidence quality and subsidy-allocation decisions.
Which activity models should be validated for selective expansion, redesigned or reviewed for recovery before further support?
An anonymised agricultural development programme
We checked functionality and output coverage, defined four performance lenses and screened activity types using volume and completeness gates. Reported profit was compared with recorded subsidy to prioritise further review.
Thirty-two activity types met the screen. Eight higher-ratio types represented 0.9% of recorded subsidy and 13.3% of reported profit; eight lower-ratio types represented 33.9% and 12.3%. Three activity types accounted for 69.9% of lower-group subsidy.
Common scale: 0–40% of each recorded total. Screen: at least 100 functional units and 70% output-complete. Upper and lower quartiles of activity-level reported profit/subsidy ratios define the groups.
A focused starting point for a cost and delivery review, rather than an automatic funding cut.
Proposed analytical weights, not approved policy. Employment is measured in person-days. Ratios are descriptive and do not establish causal impact.
Check functionality, output completeness and subsidy records before interpreting performance.
Test stronger reported models against demand, delivery capacity and comparable cohorts.
Review the cost structures and delivery constraints of the lower-ratio group.
Investigate 10,366 non-functional records and assess appropriate next steps case by case.
Analysis and solution framework developed. Pilot shortlists and revalidation plans are proposed outputs; implementation and realised benefits are not established.
Read the complete case study PDFA few lines about the situation, what you’d like to achieve and when you need it are enough to start a brief.