Effect of Process Optimization on the Performance of the Kula Project in Rwanda

Process optimization has become essential for enhancing project performance across sectors.Rwanda's Kula Project has implemented workflow automation, resource allocation, and bottleneck resolution strategies, yet their measurable impact on project performance remains inadequately documented, creating a knowledge gap in understanding process optimization's contribution to agricultural project success in developing contexts.This mixed-methods study employed descriptive and correlational designs.From 480 stakeholders, 219 respondents were selected using the Yamane formula through stratified random and purposive sampling.Data were collected via structured questionnaires, semistructured interviews, and focus group discussions.Quantitative data were analysed using descriptive statistics, Pearson correlation, and simple linear regression in SPSS; qualitative data underwent thematic analysis.Ethical standards including informed consent and confidentiality were maintained.Process optimization significantly enhanced project performance.Respondents rated process optimization practices highly (Mean = 3.91, SD = 0.71) alongside project performance outcomes (Mean = 4.09, SD = 0.65).Correlation analysis revealed a strong positive relationship (r = 0.795, p < 0.001).Regression analysis showed process optimization explained 39% of performance variance (R² = 0.39, F (1,217) = 160.6,p < 0.001), with significant predictive effect (β = 0.524, p < 0.001).Workflow automation, resource allocation, and bottleneck resolution improved operational efficiency, reduced delays, and enhanced stakeholder satisfaction.Structured process optimization substantially improves agricultural social enterprise performance.Institutionalizing these practices through standardized procedures, digital monitoring systems, and continuous improvement can strengthen project outcomes and support sustainable agricultural development in Rwanda and similar contexts.