<p>Calls for integrated multi-sectoral policy approaches recognize that dimensions of development are interlinked and that multidimensional measures can inform such policies. Yet this may generate a proliferation of unrelated multidimensional metrics focused on different vulnerable groups or highlighting different indicator combinations. It may also overlook policymakers’ cognitive and time constraints that form an important bottleneck to effective institutional responses. This paper proposes and illustrates a methodology for building Linked Multidimenisonal Indices that are based on the familiar counting-based Multidimenisonal Poverty Index (MPI) methodology and its associated information platform. Linked MPIs have a common core structure (such as a National MPI), augmented by group- or dimension-specific indicators that provide additional detailed insights. The National and Linked MPIs have consistent policy messages on shared indicators, while the Linked MPI provides additional group-specific insights for vulnerable groups, or dimension-specific insights when additional dimensions are included. The paper illustrates the proposed methodology by building a National and Linked Child MPI in Nepal and illustrates its value-added for integrated policy design. We argue that this general strategy of adding group- or dimension-specific dimension(s) and indicators could be applied in many settings and might focus rather than disperse the vital attention of both policymakers and advocacy groups, enabling them to address deprivations across interconnected dimensions of development.</p>