PEEP

It’s a smarter way to make policy. Traditional policymaking often relies on theory or political intuition, but policy experimentation means trying out new ideas on a small scale and gathering evidence before deciding to implement them widely. We treat policies like hypotheses: we design pilot or experimentation programmes or field trials to test whether a proposed solution actually works in practice, and we rigorously evaluate the results. This approach reduces risk, saves resources, and leads to better outcomes, because decisions are based on data and real experience rather than assumptions.

PEEP helps governments and organisations design controlled trials and pilot projects to answer key questions: Will this new curriculum improve student learning?, Can this entrepreneurship training increase business survival rates?, What’s the most effective way to encourage green skills in vocational schools? We then implement the pilot in collaboration with local partners, monitor it closely, and measure outcomes using scientific methods. Depending on context, we use methodologies like Randomised Controlled Trials (RCTs), quasi-experimental designs, or qualitative evaluations – always tailoring the rigor to what’s feasible and ethical in the field. For example, in the YouthStart project, an RCT was used to compare schools with the entrepreneurial programme to those without, providing clear evidence of impact on students. In other cases, we might use stepped-wedge trials (phased rollouts), A/B testing for programme features, or pre-post evaluations with comparison groups. The key is that we collect data – test scores, surveys of attitudes, income levels, employment rates, etc. – and analyse them to see what works and what doesn’t.

Policy experimentation brings the mindset of a scientist to social programmes. By measuring results, we ensure accountability and learn transparently. As we often say, “You can’t manage what you don’t measure.” Without experimentation, well-intentioned policies can sometimes fail or even cause harm despite resources spent. With experimentation, policymakers can refine and iterate solutions before scaling up, increasing the success rate of reforms. It’s a cornerstone of evidence-based policy, which leads to more effective use of public funds and better services for citizens. Especially in times of tight budgets and complex challenges (like climate change or digital disruption of jobs), policy experimentation offers a way to navigate uncertainty and complexity.