Results-based management has raised expectations for timely, credible evidence. Donors review progress through quarterly dashboards, boards ask for evidence of impact, and communities increasingly expect to be heard. At the same time, teams struggle with fragmented tools, inconsistent indicator definitions and datasets that nobody has checked. A strong digital MEAL system replaces these weaknesses with clear data flows, routine quality checks and visuals that managers actually use.

This programme guides participants through designing and operating that system. It opens with the foundations of monitoring, evaluation, accountability and learning and the role of results frameworks and indicator definitions. Participants then examine digital data collection, integration of sources, database design and automation, followed by the dimensions of data quality such as validity, reliability, timeliness, precision and integrity, and the methods of data quality assessment and routine verification. The visualisation sessions teach dashboard design principles, data modelling and measures in Power BI, and chart selection for different audiences. The last day deals with feedback mechanisms, learning events, ethics and data protection, and sustaining the system.

The course is highly practical. Participants build indicator trackers, data quality checklists and dashboards using sample data, and leave with a plan to strengthen MEAL in their own programmes.

By the end of the programme, participants will be able to:

• Translate a logframe or theory of change into measurable indicators with reference sheets.
• Design a digital MEAL workflow from collection through storage to reporting.
• Configure forms and data flows using tools such as KoboToolbox and Excel.
• Conduct data quality assessments against recognised dimensions of quality.
• Set up verification, cleaning and sign-off routines for routine monitoring data.
• Build interactive dashboards in Power BI or Excel for different audiences.
• Establish feedback and complaints mechanisms and close the loop with communities.
• Facilitate learning reviews that lead to documented adaptation decisions.

The programme is aimed at staff who generate, check or use results data, including:

• MEAL officers, coordinators and managers
• Project and programme managers
• Information management and data officers
• Data analysts and business intelligence staff
• Grants, reporting and compliance officers
• Learning and knowledge management advisers
• Government planning and results units
• Accountability and community feedback officers
• Evaluation consultants and research assistants

Participants finish with:

• An indicator tracker and reference sheet set for their own project.
• A digital MEAL workflow map showing data owners and deadlines.
• A data quality assessment checklist and scoring approach.
• A working dashboard prototype built from sample data.
• A feedback and complaints mechanism design outline.
• A learning review agenda and plan for adapting programmes.

The week is organised around building tools, with:

• Hands-on labs in KoboToolbox, Excel and Power BI
• Sample project datasets seeded with realistic errors to find and fix
• Group design of indicators, workflows and feedback systems
• Peer demonstrations of dashboard prototypes
• Brief expert inputs on standards and donor requirements

On attending all sessions and completing the dashboard and data quality exercises, participants receive a CPD-accredited Certificate of Completion issued by Vision Reach Global Consultancy.