Several models illustrate a wider shift to more equitable and intentional evaluation and learning models. For example, Trust-based evaluation focuses on three pillars: learning for accountability (funders reflecting on their own practices), learning for decision-making (listening to grantee expertise), and learning for long-term impact (assessing systemic change over decades rather than short grant cycles). Other alternative is Participatory evaluation, which actively involves stakeholders in designing, collecting, and interpreting data, using methods such as storytelling, needs analysis, and self-assessment. This approach builds capacity, between all the participants of the process, and ensures findings are relevant and actionable. Another example is the Most Significant Change (MSC) method. It complements these models by collecting and analysing personal accounts of change to identify what stakeholders value most, fostering dialogue and clarifying priorities.