KoboToolbox, ODK and SurveyCTO for M&E Course

Course Introduction

Monitoring and Evaluation (M&E) professionals increasingly rely on digital data collection platforms to improve the quality, speed, accuracy, and efficiency of field data management. KoboToolbox, Open Data Kit (ODK), and SurveyCTO have emerged as leading tools for designing digital surveys, collecting field data, conducting assessments, and supporting evidence-based decision-making. This course provides participants with practical skills to design, deploy, manage, and analyze digital data collection systems using these powerful platforms in development, humanitarian, government, and private sector contexts.

Traditional paper-based data collection methods often face challenges related to data quality, delayed reporting, transcription errors, and high operational costs. Digital data collection technologies address these limitations by enabling real-time data capture, automated validation, geospatial tracking, multimedia collection, and rapid reporting. Through hands-on exercises and practical demonstrations, participants will learn how to transform monitoring and evaluation processes through effective use of KoboToolbox, ODK, and SurveyCTO.

Modern M&E systems require robust data collection frameworks capable of supporting complex surveys, impact evaluations, needs assessments, beneficiary registration, project monitoring, and compliance reporting. Participants will gain a comprehensive understanding of form design principles, skip logic, validation rules, calculations, repeat groups, geolocation functions, and mobile deployment strategies that improve data accuracy and operational efficiency across projects and programs.

The course explores the full digital data lifecycle, from survey design and field deployment to data management, analysis, visualization, and reporting. Participants will learn best practices for ensuring data quality, maintaining data security, managing enumerator teams, and implementing quality assurance procedures that support reliable evidence generation. The training emphasizes practical approaches applicable across diverse sectors including health, education, agriculture, governance, humanitarian response, and social development.

Emerging trends such as offline data collection, cloud-based data management, GIS integration, dashboard development, real-time monitoring, artificial intelligence-assisted analytics, and mobile monitoring systems are integrated throughout the course. Participants will explore how digital innovations are reshaping monitoring and evaluation practices and enabling organizations to generate timely insights for adaptive management and improved program performance.

By the end of the course, participants will possess the technical competencies required to independently design digital questionnaires, manage field data collection operations, monitor data quality, analyze collected information, and generate actionable reports. The skills acquired will enable organizations to strengthen evidence-based decision-making, improve accountability, enhance program effectiveness, and achieve better development outcomes through modern M&E technologies.

Duration

5 days

Who Should Attend

• Monitoring and Evaluation Officers
• Data Collection and Survey Specialists
• Research and Evaluation Professionals
• Project Managers and Coordinators
• Development Practitioners
• Humanitarian Program Officers
• Data Analysts and Information Managers
• NGO and CSO Monitoring Staff
• Government Planning and Statistics Officers
• Field Supervisors and Enumerators
• Impact Assessment Specialists
• Results-Based Management Professionals

Course Objectives

• Develop comprehensive understanding of KoboToolbox, ODK, and SurveyCTO platforms for digital data collection.
• Strengthen practical skills in designing digital questionnaires with advanced logic, validation, and calculations.
• Build capacity to deploy mobile data collection systems that improve efficiency, accuracy, and accountability.
• Enhance competencies in managing field data collection operations using mobile devices and cloud platforms.
• Improve understanding of data quality assurance mechanisms that support reliable monitoring and evaluation results.
• Develop expertise in integrating GPS, multimedia, and geospatial data into digital monitoring frameworks.
• Strengthen ability to manage, clean, analyze, and visualize digital datasets for evidence-based reporting.
• Enhance skills in real-time monitoring, dashboard development, and performance tracking using collected data.
• Build knowledge of data security, ethical considerations, and privacy requirements within digital data systems.
• Strengthen organizational capacity to implement technology-enabled M&E systems that improve decision-making.

Comprehensive Course Outline

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

• Understanding digital data collection concepts and their role within modern monitoring systems
• Comparing KoboToolbox, ODK, and SurveyCTO platforms across different monitoring applications
• Exploring advantages and limitations of mobile data collection technologies in development programs
• Understanding digital data collection workflows and end-to-end system implementation processes

Module 2: KoboToolbox Fundamentals and Setup

• Creating KoboToolbox accounts and configuring project environments for data collection activities
• Understanding form-building tools and survey design options available within the KoboToolbox platform
• Developing simple digital questionnaires using structured data collection methodologies effectively
• Managing project settings and deployment configurations for field-based data collection exercises

Module 3: Advanced Form Design and Survey Logic

• Designing complex questionnaires using skip logic, branching, and conditional display mechanisms
• Implementing validation rules that improve data quality and reduce collection errors significantly
• Creating calculations, scoring systems, and automated field responses within survey instruments
• Using repeat groups and nested structures to capture complex monitoring and evaluation data

Module 4: ODK Form Development and Deployment

• Understanding ODK architecture and its application in mobile data collection environments
• Building advanced ODK forms using XLSForm standards and survey design best practices
• Deploying ODK forms to mobile devices for online and offline field data collection
• Managing ODK servers and synchronization processes supporting efficient data transmission workflows

Module 5: SurveyCTO Configuration and Management

• Setting up SurveyCTO projects and configuring secure digital data collection environments effectively
• Designing high-quality forms with advanced functionality supporting monitoring requirements comprehensively
• Managing user permissions, access controls, and enumerator accounts within SurveyCTO systems
• Implementing workflow automation that improves operational efficiency and data management processes

Module 6: Mobile Data Collection and Field Operations

• Preparing mobile devices and applications for effective field-based data collection activities
• Managing enumerator training, supervision, and field coordination using digital monitoring systems
• Implementing offline data collection strategies within remote and low-connectivity operational environments
• Monitoring field performance and resolving technical issues affecting data collection operations promptly

Module 7: Data Quality Assurance and Verification

• Applying quality control procedures that strengthen reliability and validity of collected information
• Using automated validation tools to detect inconsistencies, missing values, and data anomalies
• Conducting data verification processes that support monitoring accuracy and reporting credibility
• Developing quality assurance frameworks that enhance confidence in monitoring and evaluation findings

Module 8: GPS, Multimedia and GIS Integration

• Capturing geospatial information that supports mapping and location-based monitoring activities
• Integrating photographs, audio recordings, and multimedia evidence within digital survey systems
• Utilizing GPS coordinates to strengthen verification and monitoring of field interventions effectively
• Applying GIS tools for spatial analysis and visualization of monitoring and evaluation results

Module 9: Data Analysis, Dashboards and Reporting

• Cleaning and preparing datasets for statistical analysis and performance measurement purposes
• Creating dashboards that support real-time monitoring and evidence-based decision-making processes
• Visualizing data through charts, maps, and interactive reporting tools for stakeholder engagement
• Generating analytical reports that communicate findings and support program improvement initiatives

Module 10: Emerging Technologies and Future Trends

• Exploring artificial intelligence applications supporting digital monitoring and evaluation systems
• Understanding cloud-based analytics and advanced reporting technologies for performance management
• Examining cybersecurity and data privacy considerations affecting digital monitoring operations
• Developing implementation plans for scaling technology-enabled monitoring and evaluation frameworks

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue 

The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.

Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808

Terms of Payment:

Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.