Introduction

In the era of digital transformation, Monitoring and Evaluation (M&E) professionals require cutting-edge skills in digital data collection, analysis, and visualization to enhance program effectiveness and evidence-based decision-making. Digital Data Collection Tools in M&E Training Course equips participants with the latest knowledge and hands-on skills to leverage mobile surveys, cloud-based data systems, and real-time dashboards. Participants will gain practical expertise in using tools such as KoboToolbox, ODK, SurveyCTO, CommCare, and Power BI, enhancing their ability to capture, manage, and analyze data efficiently while ensuring data quality, security, and integrity.

This course emphasizes practical applications, case studies, and emerging trends in digital M&E, enabling participants to adopt innovative digital methodologies for program monitoring, evaluation, and impact assessment. By the end of the training, participants will be adept at designing digital survey instruments, automating data collection workflows, and generating actionable insights, making them valuable assets for development organizations, NGOs, government agencies, and research institutions committed to evidence-driven program improvement.

Programme Curriculum

Digital Data Collection Tools in M&E Training Course

Introduction

Course Duration

5 days

Course Objectives

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

Understand the role of digital tools in modern M&E processes.
Design high-quality digital survey instruments for field data collection.
Apply mobile data collection platforms like KoboToolbox, ODK, and SurveyCTO.
Utilize cloud-based systems for secure data storage and management.
Conduct real-time monitoring and dashboards for program performance.
Ensure data quality, accuracy, and integrity in digital data collection.
Integrate GIS and GPS functionalities for spatial data analysis.
Automate data collection workflows to increase efficiency.
Analyze and visualize data using Power BI, Tableau, and Excel.
Apply ethical standards and data privacy in digital M&E tools.
Leverage SMS, IVR, and mobile apps for remote data collection.
Evaluate the impact of digital tools on program decision-making.
Adapt to emerging digital innovations for M&E in complex environments.

Target Audience

M&E Officers and Specialists
Program Managers and Coordinators
Data Analysts and Statisticians
Research Officers and Consultants
NGO and Development Organization Staff
Government Monitoring Officers
ICT Officers in Data Management
Graduate Students and Academics in Social Sciences

Course Modules

Module 1: Introduction to Digital Data Collection in M&E

Understanding digital transformation in M&E
Key digital tools and platforms for data collection
Benefits of digital data over traditional methods
Challenges and solutions in digital data adoption
Case Study: Transitioning from paper-based surveys to mobile platforms

Module 2: Designing Digital Survey Instruments

Principles of survey design for digital tools
Creating structured questionnaires and forms
Integrating skip logic, validations, and automated checks
User-friendly interfaces for field enumerators
Case Study: Optimizing mobile surveys for health program monitoring

Module 3: Mobile Data Collection Platforms

Overview of KoboToolbox, ODK, and SurveyCTO
Setting up digital forms and field workflows
Data submission, storage, and retrieval
Offline data collection and synchronization
Case Study: Mobile data collection for rural water project evaluation

Module 4: Cloud-Based Data Management

Secure cloud storage options and best practices
Real-time data access and management
Data backup, encryption, and disaster recovery
Multi-user collaboration and access control
Case Study: Cloud-based monitoring for education programs

Module 5: Data Quality and Validation

Ensuring accuracy, completeness, and consistency
Automated validation checks and data cleaning techniques
Handling missing or erroneous data
Quality assurance workflows for digital datasets
Case Study: Improving data quality in multi-site health surveys

Module 6: GIS, GPS, and Spatial Data Collection

Introduction to GIS and GPS functionalities in M&E
Capturing geospatial data with mobile tools
Mapping program outputs and impacts
Integrating spatial data with dashboards
Case Study: Tracking agricultural project coverage with GIS

Module 7: Data Analysis and Visualization

Basics of data analysis in Excel, Power BI, and Tableau
Generating automated reports and dashboards
Visualizing trends, comparisons, and key indicators
Interpreting results for program decision-making
Case Study: Dashboard reporting for nutrition programs

Module 8: Ethical and Innovative Practices in Digital M&E

Data privacy, confidentiality, and ethical considerations
Using SMS, IVR, and mobile apps for remote collection
Adapting to emerging digital innovations
Leveraging AI and machine learning in M&E data
Case Study: Remote monitoring of COVID-19 interventions using SMS surveys

Training Methodology

This course employs a participatory and hands-on approach to ensure practical learning, including:

Interactive lectures and presentations.
Group discussions and brainstorming sessions.
Hands-on exercises using real-world datasets.
Role-playing and scenario-based simulations.
Analysis of case studies to bridge theory and practice.
Peer-to-peer learning and networking.
Expert-led Q&A sessions.
Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Tool setup data capture data management

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 23 Oct 2026

💻 Online / Virtual session

Online $1,000