A Cross-Stakeholder Requirements Framework for Research Performance Dashboards in Evidence-Based Governance

Abstract

Research performance dashboards support evidence-based governance by consolidating fragmented data for institutional decision-making. Yet, requirements elicitation in multi-stakeholder settings often aggregates inputs without examining how needs are distributed across organizational positions. This study proposes the Cross-Stakeholder Requirements Framework (CSRF), a case-derived analytical lens that classifies requirement themes by distributional breadth and locus. As an exploratory single-case study, we conducted semi-structured interviews with 10 stakeholders across four organizational groups at a large Indonesian public research agency and applied hybrid thematic analysis to 73 coded utterances. This study elaborated on four specific patterns: universal requirements, management-concentrated requirements, hidden operational requirements, and cross-cutting minority concerns. A supplementary survey $({N}={20})$ exhibited scant coverage on three of the derived interview themes, indicating that a priori frameworks may bypass stakeholder-centric issues. CSRF suggests a lightweight methodology to illuminate stakeholder uncertainties in dashboard requirements analysis, which may inform the cultivation of accountable institutions and aid in the advancement of Sustainable Development Goal 16.