The Problem with Measuring Academic Performance

Academic life is driven by intrinsic motivations. Scholars are guided by curiosity, a pursuit of excellence and a commitment to professionalism: integrity, responsibility and accountability. Many see their work as part of a larger purpose: contributing knowledge to society and shaping generations through teaching.

But these motivations exist within institutional systems that increasingly demand measurable performance. Teaching and research largely occur behind closed doors, making them difficult to assess directly. Faced with this information asymmetry, universities have adopted what appears to be a rational approach: evaluating output, outcomes and impact, rather than inputs or processes.

This logic has produced a deeply reductionist system of evaluation. Teaching quality is often reduced to student feedback scores. Research productivity is measured by publication counts. Quality is inferred from journal impact factors, and relevance from citation numbers. These offer only partial glimpses into the richness and complexity of academic work.

The problem is, metrics have become proxies for value rather than tools to inform it. When institutions rely too heavily on simplified indicators, they risk incentivising behaviours that prioritise what can be measured over what truly matters.

The consequences are increasingly visible. Academics often face a tension between pursuing intellectual curiosity and securing stable careers. The aspiration to grow intellectually and professionally may come into conflict with institutional priorities in hiring, promotion and tenure.