This resource reviews the benefits and challenges of metrics alignment and data sharing for organisations, and provides a roadmap and considerations to help think through undertaking them. The guidance builds on learnings from projects by ISEAL and its members, where metrics alignment and data sharing were key.

This baseline report presents the initial stage of a research project with the overarching goal to examine the impact on farmer livelihoods and poverty alleviation within Indonesian coffee-growing communities as a result of processes of verification or certification against different sustainability standards. These standards include the Common Code for the Coffee Community (4C) Code of Conduct, the Sustainable Agriculture Network/ Rainforest Alliance (SAN/RA) standard, and Utz Certification.

This is a conceptual framework which outlines the justification and process for the development of the ISEAL Common Core Indicators. This work began as part of ISEAL's Developing and Improving Poverty Impacts project (DIPI).

In this podcast, Jeffrey Neilson from the University of Sydney discusses the research report on the Evaluation of the Impacts of Sustainability Standards on Smallholder Coffee Farmers in Southern Sumatra, Indonesia published in 2019.

This guidance equips sustainability systems with practical tips on how they can make their impact claims more meaningful and effective with confidence and accuracy.

This report assesses leading metrics for measuring and reporting performance over time and across multiple spatial scales. It examines six critical sustainability issues: deforestation, biodiversity, water use, forced labour, poverty, and greenhouse gas emissions. The research supports sustainability systems in making data-driven outcome claims and provides insight into evaluating metric suitability. The report focuses on applicability of metrics and data sources, best practices, and associated limitations and trade-offs.

Report produced for the ISEAL Alliance Innovations Fund project “Integrating new data to improve risk assessments and detection of forced labour vulnerability in agricultural supply chains”.

Moving towards an outcome-based standard creates the opportunity for LEAF to communicate more closely on the impacts of implementing the LEAF Marque Standard, measuring outcomes directly rather than proxying them with practices.