Measuring ROI on Vocational Training Programs in Africa: A Practical Framework
Governments and funders spend billions on vocational training across Africa, yet impact measurement often stops at "number of graduates" — a metric that says nothing about whether training actually translated into income.
Metrics That Actually Matter
| Weak Metric | Strong Metric | |-------------|----------------| | Number enrolled | Number certified AND employed within 6 months | | Number of training hours delivered | Post-training income vs pre-training income | | Graduation rate | Income retention at 12 and 24 months | | Trainer-to-student ratio | Client satisfaction ratings of graduates' actual work | | Program completion certificate issued | Verifiable, on-chain proof of ongoing paid work |
Why Traditional Metrics Mislead
A program can report a 90% graduation rate while only 20% of graduates ever earn income from their trained skill. Graduation and employment are not the same outcome, and conflating them produces misleading impact reports to funders.
Building Verifiable ROI Data
On-chain credential and payment systems solve the verification problem directly — a graduate's actual income can be tracked (with consent) through escrow transaction history, providing funders real income data rather than self-reported surveys prone to inflation.
The Cost-Per-Outcome Framework
Rather than reporting cost-per-graduate, funders should demand cost-per-employed-graduate-at-12-months — a stricter, more honest metric that changes which programs look successful.
Read more: Vocational training cost breakdown | On-chain performance reviews | TVET reform in Mozambique