• Will become familiar with the ‘building blocks’ of digital analytics, including Google Analytics, surveys and comment analysis.
• Will be able to practice analysis using digital data.
• Will be able to understand how digital data can be used for monitoring and evaluation purposes.
Digital interventions offer exciting new possibilities for measurement, learning and evaluation. In contrast to offline programmes, digital interventions are ‘always on’ and often reach wider groups of users, resulting in large datasets with messy and multi-format data which require innovative techniques to organise and analyse.
Digital interventions also often include multiple entry points, including ‘back end’ data, system data and user generated data. How does one make sense of this new digital data, while adhering to rigorous evaluation protocols? This workshop will provide a thorough grounding in developing a robust monitoring and evaluation approach for digital projects and revising existing workflows in response to the unique digital environment.
The workshop facilitators will share a digital measurement framework that integrates digital as well as traditional methods and will present case studies for its use. Workshop participants will also practice data analysis for large digital datasets, including textual data and data linkages and will walk through exercises with discussion on how to incorporate these techniques in programmatic evaluations.
Areas of expertise
- Methodological skills /knowledge
Implementing institution/s or person/s (incl. short description)
Claudia Abreu Lopes, a Research Fellow at the United Nations University International Institute for Global Health (UNU-IIGH).
Calum Handforth, the Thematic Lead for Digitalisation and Smart Cities at UNDP’s Global Centre for Technology, Innovation, and Sustainable Development.
The workshop is recommended for evaluators and practitioners who are designing M&E for digital projects.
Level: Introductory to intermediate.