<p>Gross Domestic Product (GDP) has long been used as a proxy for human progress, despite growing recognition of its limitations. Recently, numerous “beyond GDP” initiatives have emerged, promoting multidimensional dashboards to assess quality of life. However, these often lack a clear headline indicator, limiting their usefulness for policymaking and public communication. This paper argues for placing subjective well-being (SWB) at the center of progress measurement in dashboards. SWB captures the overall impact of life conditions on people’s lived experiences and offers a clear, outcome-oriented metric aligned with what truly matters: a good life. We explore how SWB can serve as a headline indicator, complemented by measures of the conditions that support it, to improve policy relevance, accountability, and legitimacy. We also address key measurement challenges and propose ways to overcome them for more effective integration into decision-making frameworks.</p>

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Using Subjective Well-being as a Headline Indicator in Dashboards to Track Human Progress

  • Martijn J. Burger,
  • Sarah Courchesne,
  • Talita Greyling,
  • Kelsey J. O’Connor,
  • Stephanié Rossouw,
  • Francesco Sarracino,
  • Ruut Veenhoven

摘要

Gross Domestic Product (GDP) has long been used as a proxy for human progress, despite growing recognition of its limitations. Recently, numerous “beyond GDP” initiatives have emerged, promoting multidimensional dashboards to assess quality of life. However, these often lack a clear headline indicator, limiting their usefulness for policymaking and public communication. This paper argues for placing subjective well-being (SWB) at the center of progress measurement in dashboards. SWB captures the overall impact of life conditions on people’s lived experiences and offers a clear, outcome-oriented metric aligned with what truly matters: a good life. We explore how SWB can serve as a headline indicator, complemented by measures of the conditions that support it, to improve policy relevance, accountability, and legitimacy. We also address key measurement challenges and propose ways to overcome them for more effective integration into decision-making frameworks.