Monitoring and learning platform for impact assessment
Impact-oriented tracking platform
The platform is a digital tool that helps research teams monitor and understand who benefits from their work. Developed to strengthen impact tracking within the CGIAR, the platform enables systematic monitoring of individuals and institutions engaged in project activities across agri-food systems.
It complements existing CGIAR monitoring tools such as PRMS (Performance and Results Management System), TIP (Tracking Information Products), and OICRs (Outcome Impact Case Reports), with a specific focus on tracking project beneficiaries. The platform supports real-time data collection, automated data cleaning, and interactive dashboards, allowing teams to easily visualize participation in activities such as trainings, workshops, field visits, and participatory research.
The tool is particularly useful during project implementation and post-implementation phases, helping teams adapt activities, learn from results, and report evidence of impact. It also provides access to an organized inventory of socioeconomic datasets from research regions, supporting research planning, evaluation, and decision-making.
Overall, the platform strengthens accountability, institutional learning, and evidence-based reporting.
In what context is this tool useful?
Useful in research-for-development settings to monitor reach, learning, and adoption in real time. Enables adaptive decisions, enhances reporting, and integrates a socioeconomic data inventory for better project targeting and research design.
Variations, scaling and adaptations
The platform is flexible and can be adapted to the specific needs of different projects, including adjustments to forms, indicators, and modules. It has already been tailored for initiatives on deforestation, capacity building, and sustainable food systems. Its integration with systems like TIP or Agresso (An Enterprise Resource Planning system), along with a complementary inventory of socioeconomic datasets by region, enhances usability and enables faster, more organized access to context-relevant data for prioritization and future research.
