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NITA AccreditedIntermediatePhysical + Virtual5 daysTOMA592

Training on Managing, Analyzing, and Interpreting MEAL Data for Development Programs

Learn to manage, analyze, and interpret MEAL data to improve decision-making, accountability, and impact in development projects.

Next intake

20 Jul 2026 · Nakuru

View all dates

Duration

5 days

Live instruction

Delivery

Physical + Virtual

Cohort based

Level

Intermediate

Working professionals

Certification

NITA reimbursable

For Kenyan cohorts

Language

English

All materials

Overview

About this programme

Monitoring, Evaluation, Accountability, and Learning (MEAL) systems play a vital role in improving the effectiveness, accountability, and impact of development programs. This intensive training equips participants with practical skills to collect, manage, analyze, and interpret MEAL data for evidence based decision making and program improvement.

Through practical exercises, case studies, and group activities, participants will learn how to transform data into meaningful insights, strengthen reporting and accountability processes, and support continuous organizational learning and adaptive programming.

Duration

5 Days

Who Should Attend

  • MEAL specialists and officers

  • Program and project managers

  • Development practitioners and NGO staff

  • Data analysts working in development programs

  • Donor and funding agency representatives

  • Policy and decision-makers in development organizations

Learning outcomes

What you'll walk away with

By the end of this training, participants will be able to:

  • Design and manage MEAL data collection systems effectively.

  • Apply statistical and qualitative methods for MEAL data analysis.

  • Use tools and software for analyzing and visualizing data.

  • Interpret data to generate actionable insights for decision-making.

  • Integrate learning into project cycles for continuous improvement.

  • Report MEAL findings clearly and effectively to stakeholders.

Course modules

What we cover, module by module

Module 1: Foundations of MEAL Systems and Data Management

  • Understanding Monitoring, Evaluation, Accountability, and Learning (MEAL) frameworks
  • Role of data in improving program performance and accountability
  • Data lifecycle management, quality standards, and ethical considerations
  • Tools and systems for effective MEAL data management
  • Case Study: Linking MEAL systems to improved development outcomes
  • Practical: Assess data quality and map a MEAL data flow process

Module 2: MEAL Data Collection and Statistical Analysis

  • Quantitative and qualitative data collection methods
  • Digital tools for MEAL data collection such as KoboToolbox, ODK, and CommCare
  • Introduction to descriptive and inferential statistics
  • Sampling techniques and basic data analysis using Excel or SPSS
  • Case Study: Designing data collection systems for development programs
  • Practical: Create a digital survey and analyze sample data

Module 3: Qualitative Analysis and Data Visualization

  • Thematic analysis and coding techniques for qualitative data
  • Introduction to NVivo and ATLAS.ti concepts
  • Principles of effective data visualization and dashboard creation
  • Presenting findings through charts, dashboards, and reports
  • Case Study: Using qualitative and quantitative insights for program improvement
  • Practical: Develop a basic dashboard and interpret findings

Module 4: Using MEAL Data for Decision Making and Reporting

  • Turning MEAL findings into actionable recommendations
  • Evidence based program adaptation and strategy improvement
  • Writing clear and effective MEAL reports
  • Accountability and transparency in donor and stakeholder reporting
  • Case Study: Using MEAL data to redesign a project strategy
  • Practical: Prepare and present a MEAL findings report

Module 5: Learning, Adaptation, and Organizational Improvement

  • Embedding learning into project design and implementation
  • Using MEAL systems to strengthen organizational performance
  • Adaptive management and continuous improvement approaches
  • Developing action plans for applying MEAL learning in participants’ organizations
  • Case Study: Organizational learning through effective MEAL systems
  • Practical: Develop a MEAL action and learning plan
Impact

Where the change lands

Organisation Impact

  • Improved data quality and reliability for program decision-making

  • Stronger evidence base for donor reporting and accountability

  • Enhanced capacity to demonstrate program outcomes and impact

  • Increased integration of learning into project design and implementation

  • Strengthened culture of transparency and data-driven programming


Individual Impact

  • Strengthened capacity in data collection, management, and analysis

  • Ability to interpret MEAL data to influence program strategies

  • Improved skills in using software tools for data analysis and visualization

  • Greater confidence in presenting and reporting MEAL findings

  • Practical experience through exercises and case studies

Dates and locations

Upcoming intakes

Every intake is limited to a small cohort. Booking closes when a date fills or three weeks before the start, whichever comes first.

Full calendar
FAQs

Common questions.

Still not sure? Send us a note and a facilitator will get back to you within a business day.

No, the course is designed for both beginners and intermediate-level practitioners.

Course finder

Find the right course for you

Prefer to talk it through? Send us an enquiry and a facilitator will scope a fit within a business day.

For corporate teams

Training 10+ professionals?

We deliver Training on Managing, Analyzing, and Interpreting MEAL Data for Development Programs in-house at your offices, at a venue we arrange, or fully virtual. Customise the curriculum against your KPIs, and get a bespoke price for the cohort size you need.