In the final webinar of the series, we look at the different approaches you can take to analyse your data, introduce what to consider when sharing learning, and share different approaches for turning learning into action.

In this session we outline the different steps in effective and high-quality data collection, from selecting data collection methods (getting a balance between quantitative and qualitative methods), choosing a sample, and developing and deploying data collection tools.

It is important to set your monitoring, evaluation and learning on the right track and ensure all your work in this area is as efficient and effective as possible. To this end, a theory of change, learning questions and indicators can help you to decide where your data collection and analysis will be focused on helping to learn, improve and be accountable to stakeholders.