MEAL Workshop

Enhanced donor confidence

Improved organizational learning

Consistent data across all sectors

Better strategic planning capacity

Only MEAL team members

Only sector representatives

MEAL and sector representatives

External consultants only

To reduce the amount of data collected

To ensure consistency and comparability across different data sources

To eliminate the need for sector-specific reports

To automate all reporting processes

Intentional data manipulation

Different methodologies and definitions being used

Technical system failures

Lack of data to report

Management, Evaluation, Analysis, and Learning

Monitoring, Evaluation, Accountability, and Learning

Measuring, Evaluating, Analyzing, and Logging

Monthly, Emergency, Annual, and Long-term

Each sector using their preferred data collection method

All sectors using the same definitions, timeframes, and tools

Collecting data only when convenient

Using different indicators for each project

Reduced training costs

Better decision-making based on reliable information

Fewer staff needed for data collection

Faster internet speeds

Purchasing new software

Firing inconsistent staff

Understanding current practices and identifying gaps

Hiring external consultants

Deleting old data files

Checking data for accuracy, completeness, and consistency

Translating data into multiple languages

Storing data in multiple locations

Implement across all sectors simultaneously

Start with a pilot in a few sectors before full rollout

Let each sector implement when they're ready

Only implement for new projects