Course Overview
This comprehensive ten-day training program is designed to equip Field M&E Officers and Spatial M&E Specialists with cutting-edge skills in monitoring and evaluation. The first part of the course focuses on building strong M&E frameworks, mastering mobile data collection using KoboToolbox, and performing robust data analysis. The second part delves into the powerful application of Geographic Information Systems (GIS) in M&E, enabling participants to leverage spatial data for enhanced project insights and decision-making. This integrated approach ensures participants gain both foundational and advanced technical skills crucial for modern M&E practices.
This program will provide an in-depth understanding of M&E frameworks (Logic Models, Theory of Change), practical expertise in designing and deploying digital surveys using KoboToolbox, and skills in data cleaning, analysis (descriptive and inferential), and visualization. The GIS component will cover spatial data collection, geospatial analysis for M&E, creating interactive maps and dashboards, and integrating GIS into comprehensive M&E systems, thereby enabling participants to effectively manage, analyze, and communicate project performance.
Upon the successful completion of this Mobile Data Collection, Data Analysis & GIS Applications in Monitoring and Evaluation for M&E Specialists participants will be able to:
ü Design and develop robust M&E frameworks for various projects.
ü Create, deploy, and manage complex surveys using KoboToolbox for mobile data collection.
ü Perform comprehensive data cleaning, management, and analysis using appropriate software.
ü Apply GIS principles to collect, manage, and analyze spatial data relevant to M&E.
ü Create compelling maps and visualizations to communicate project performance and impact effectively.
ü Integrate spatial analysis into routine M&E processes for enhanced insights.
ü Utilize M&E data, including spatial data, for adaptive management and informed decision-making.
Training Methodology
The training will employ a blended learning approach, combining:
ü Interactive lectures: Engaging presentations to introduce core concepts, theories, and software functionalities.
ü Case studies: Real-world M&E challenges and projects from various sectors to illustrate practical applications.
ü Practical sessions: Extensive hands-on exercises, including designing surveys in KoboToolbox, collecting data in the field (simulated or actual), performing data cleaning and analysis in Excel/R/Python (basic), and creating maps and geospatial analyses using QGIS/ArcGIS (introductory).
ü Group discussions: Opportunities for participants to share experiences, brainstorm solutions, and troubleshoot technical issues.
ü Q&A sessions: Dedicated time for addressing participant queries and clarifying complex concepts and software functionalities.
Our facilitators are seasoned industry professionals with years of expertise in their chosen fields. All facilitation and course materials will be offered in English.
Who Should Attend?
This Mobile Data Collection, Data Analysis & GIS Applications in Monitoring and Evaluation for M&E Specialists would be suitable for, but not limited to:
ü Field M&E Officers
ü M&E Specialists
ü Project Coordinators
ü Program Managers
ü Data Analysts
ü Researchers
ü Spatial Analysts
ü Anyone involved in monitoring, evaluation, and data management in development or humanitarian sectors
Personal Benefits
ü Master essential skills in M&E framework development and digital data collection.
ü Gain proficiency in KoboToolbox for efficient field data management.
ü Enhance your data analysis and visualization capabilities.
ü Acquire specialized skills in GIS for M&E, opening new career avenues.
ü Improve your ability to tell a compelling story with project data, including spatial dimensions.
ü Become a more effective and versatile M&E professional.
Organizational Benefits
ü Strengthen the organization's capacity for robust M&E framework design.
ü Improve the efficiency and accuracy of field data collection through mobile tools.
ü Enhance the quality and depth of data analysis and reporting.
ü Leverage spatial data for more targeted interventions and better resource allocation.
ü Facilitate data-driven decision-making and adaptive program management.
ü Increase transparency and accountability in project implementation and impact.
ü Course Duration: 10 Days
ü Training Fee
o Physical Training: USD 3,000
o Online / Virtual Training: USD 2,500
Module 1: Fundamentals of Monitoring and Evaluation
ü Introduction to M&E Concepts and Principles
ü The Project Cycle and M&E's Role
ü Key M&E Terms: Indicators, Baselines, Targets
ü Types of M&E: Process, Outcome, Impact Evaluation
ü Importance of Data Quality in M&E
ü Practical Session: Identifying Key Indicators for a Sample Project
Module 2: Designing Effective M&E Frameworks
ü Logic Models and Their Components
ü Theory of Change: Developing Causal Pathways
ü Results Frameworks and Performance Indicators
ü Indicator Selection and Definition (SMART Criteria)
ü Developing an M&E Plan
ü Practical Session: Developing a Logic Model and Results Framework for a Case Study Project
Module 3: Introduction to Mobile Data Collection
ü Advantages of Mobile Data Collection
ü Overview of Mobile Data Collection Platforms
ü Components of a Digital Survey (Questions, Skips, Validation)
ü Planning for Mobile Data Collection Deployment
ü Data Security and Privacy in Mobile Surveys
ü Practical Session: Exploring Sample Mobile Survey Forms
Module 4: KoboToolbox for Survey Design (Basic)
ü Introduction to KoboToolbox Interface
ü Creating Basic Question Types (Text, Number, Select One, Select Many)
ü Adding Labels and Hints
ü Previewing and Testing Forms
ü Exporting Forms for Sharing
ü Practical Session: Building a Simple Household Survey Form in KoboToolbox
Module 5: KoboToolbox for Survey Design (Advanced)
ü Skip Logic and Relevant Conditions
ü Validation Criteria and Constraints
ü Grouping Questions and Repeating Groups
ü Using Calculations and Default Values
ü Importing Pre-loaded Data (External CSVs)
ü Practical Session: Implementing Advanced Logic in a KoboToolbox Form
Module 6: KoboToolbox Data Management and Deployment
ü Deploying Forms to KoboToolbox Server
ü Managing Users and Permissions
ü Collecting Data Using KoboCollect App (Android)
ü Submitting and Reviewing Data
ü Exporting Data for Analysis (CSV, Excel)
ü Practical Session: Deploying a Form and Collecting Data on a Mobile Device
Module 7: Data Cleaning and Management in Excel
ü Importance of Data Cleaning
ü Identifying and Handling Missing Values
ü Detecting and Correcting Data Entry Errors
ü Data Filtering, Sorting, and Deduplication
ü Preparing Data for Analysis (Reshaping, Merging)
ü Practical Session: Cleaning and Preparing a Raw KoboToolbox Dataset in Excel
Module 8: Basic Data Analysis and Visualization
ü Descriptive Statistics (Mean, Median, Mode, Frequencies)
ü Creating Basic Charts (Bar Charts, Pie Charts, Line Graphs)
ü Interpreting Data Findings
ü Presenting Data Clearly and Effectively
ü Introduction to Data Analysis Tools beyond Excel (e.g., Google Sheets, basic intro to R/Python concepts)
ü Practical Session: Generating Summary Statistics and Basic Charts from Cleaned Data
Module 9: Introduction to GIS in M&E
ü What is GIS and Its Components?
ü Importance of Spatial Data in M&E
ü Types of Spatial Data (Vector, Raster)
ü Geographic vs. Projected Coordinate Systems
ü Overview of GIS Software (QGIS, ArcGIS)
ü Practical Session: Navigating a GIS Interface and Understanding Basic Tools
Module 10: Spatial Data Collection and Management
ü GPS Data Collection Methods for M&E (Waypoint, Tracks)
ü Collecting Georeferenced Photos
ü Using Mobile GIS Apps for Field Data Capture
ü Data Quality Considerations for Spatial Data
ü Managing and Organizing Spatial Datasets
ü Practical Session: Collecting GPS Waypoints and Photos using a Smartphone or GPS Device
Module 11: GIS Software Fundamentals (QGIS/ArcGIS)
ü Importing and Displaying Spatial Data
ü Symbology and Layer Properties
ü Basic Geoprocessing Tools (Clip, Buffer, Merge)
ü Creating and Editing Spatial Data (Digitizing)
ü Working with Attribute Tables
ü Practical Session: Importing and Symbolizing M&E Project Data in GIS Software
Module 12: Geospatial Analysis for M&E (Basic)
ü Spatial Querying and Selection
ü Proximity Analysis (e.g., distance to services)
ü Overlay Analysis (e.g., combining project areas with demographic data)
ü Spatial Join Operations
ü Basic Network Analysis (e.g., shortest path)
ü Practical Session: Performing Basic Geospatial Analysis to Answer an M&E Question
Module 13: Creating Maps for M&E Reports
ü Principles of Cartography and Map Design
ü Map Elements (Title, Legend, Scale Bar, North Arrow)
ü Thematic Mapping (Choropleth, Graduated Symbols)
ü Exporting Maps for Reports and Presentations
ü Web Mapping Concepts
ü Practical Session: Designing and Exporting a Professional M&E Map
Module 14: Advanced Spatial Analysis Techniques
ü Hot Spot Analysis (Identifying Clusters)
ü Interpolation Techniques (e.g., Inverse Distance Weighting for environmental data)
ü Raster Analysis (e.g., suitability analysis for site selection)
ü Geocoding Addresses and Locations
ü Time-Series Spatial Analysis (Monitoring Change Over Time)
ü Practical Session: Performing Hot Spot Analysis on Project Data
Module 15: Integrating GIS into M&E Frameworks
ü Developing Spatially-Enabled Indicators
ü Incorporating GIS into M&E Plans
ü Using Maps for Baseline Assessments
ü Mapping Project Coverage and Reach
ü Spatial Targeting of Interventions
ü Practical Session: Revisiting an M&E Framework and Adding Spatial Dimensions
Module 16: Dashboard Design and Spatial Reporting
ü Principles of Interactive Dashboards
ü Integrating Maps into Dashboards
ü Using Dashboard Software (e.g., Power BI, Tableau Public - introductory concepts)
ü Telling a Spatial Story with Data
ü Best Practices for Spatial Data Visualization
ü Practical Session: Designing an Interactive M&E Dashboard with a Map Component
Module 17: Ethical Considerations in M&E and Spatial Data
ü Data Privacy and Confidentiality for Sensitive Data
ü Informed Consent and GPS Data Collection
ü Data Ownership and Sharing Protocols
ü Avoiding Misleading Maps and Visualizations
ü Responsible Use of Spatial Technologies
ü Practical Session: Discussing Ethical Dilemmas in Spatial Data Collection for M&E
Module 18: Adaptive Management and Data-Driven Decision Making
ü Using M&E Data (including spatial insights) for Decision Making
ü Feedback Loops and Iterative Project Management
ü Learning from Spatial Patterns and Discrepancies
ü Adapting Interventions Based on Geospatial Evidence
ü Developing a Culture of Data Use
ü Practical Session: Applying M&E and Spatial Insights to Recommend Project Adaptations
About Our Trainers
Our trainers are highly experienced M&E practitioners and geospatial experts with a proven track record in designing and implementing M&E systems across various sectors, particularly in development and humanitarian contexts. They possess deep expertise in mobile data collection tools like KoboToolbox and have extensive practical experience in applying GIS for M&E. Their hands-on approach and real-world project insights ensure participants gain practical, actionable skills.
Quality Statement
Phoenix Training Center is committed to delivering high-quality, practical, and relevant training programs. Our courses are meticulously designed and regularly updated to reflect the latest industry trends and best practices. We strive to provide an engaging and supportive learning environment that empowers participants to achieve their professional goals.
Tailor-Made Courses
We understand that each organization has unique training needs. Armstrong Global Institute offers customized training solutions to meet your specific requirements. We can tailor the content, duration, and delivery method of our courses to align perfectly with your team's objectives and schedule. Please contact us to discuss how we can create a bespoke training program for your organization. For further inquiries, please contact us on Tel: +254720272325 / +254737296202 or Email training@phoenixtrainingcenter.com
ü Participants should be reasonably proficient in English.
ü Applicants must live up to Phoenix Center for Policy, Research and Training admission criteria.
Terms and Conditions
ü Discounts: Organizations sponsoring Four Participants will have the 5th attend Free
ü What is catered for by the Course Fees: Fees cater for all requirements for the training – Learning materials, Lunches, Teas, Snacks and Certification. All participants will additionally cater for their travel and accommodation expenses, visa application, insurance, and other personal expenses.
ü Certificate Awarded: Participants are awarded Certificates of Participation at the end of the training.
ü The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.
ü Approval of Course: Our Programs are NITA Approved. Participating organizations can therefore claim reimbursement on fees paid in accordance with NITA Rules.
Booking for Training
Simply send an email to the Training Officer on training@phoenixtrainingcenter.com and we will send you a registration form. We advise you to book early to avoid missing a seat to this training. Or call us on +254720272325 / +254737296202
Payment Options
We provide 3 payment options, choose one for your convenience, and kindly make payments at least 5 days before the Training start date to reserve your seat:
ü Groups of 5 People and Above – Cheque Payments to: Phoenix Center for Policy, Research and Training Limited should be paid in advance, 5 days to the training.
ü Invoice: We can send a bill directly to you or your company.
ü Deposit directly into Bank Account (Account details provided upon request)
Cancellation Policy
ü Payment for all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.
ü Participants may cancel attendance 14 days or more prior to the training commencement date.
ü No refunds will be made 14 days or less before the training commencement date. However, participants who are unable to attend may opt to attend a similar training course at a later date or send a substitute participant provided the participation criteria have been met.
Accommodation and Airport Transfer
For physical training attendees, we can assist with recommendations for accommodation near the training venue. Airport pick-up services can also be arranged upon request to ensure a smooth arrival. Please inform us of your travel details in advance if you require these services. For reservations contact the Training Officer on Email: training@phoenixtrainingcenter.com or on Tel: +254720272325 / +254737296202
| Course Dates | Venue | Fees | Enroll |
|---|---|---|---|
| Mar 23 - Apr 03 2026 | Kisumu | $3,000 |
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| Apr 06 - Apr 17 2026 | Nakuru | $3,000 |
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| Apr 20 - May 01 2026 | Nairobi | $3,000 |
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| May 04 - May 15 2026 | Naivasha | $3,000 |
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| May 18 - May 29 2026 | Nanyuki | $3,000 |
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| Jun 01 - Jun 12 2026 | Eldoret | $3,000 |
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| Jun 15 - Jun 26 2026 | Nairobi | $3,000 |
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| Jul 06 - Jul 17 2026 | Mombasa | $3,000 |
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| Jul 20 - Jul 31 2026 | Kisumu | $3,000 |
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| Aug 03 - Aug 14 2026 | Nakuru | $3,000 |
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| Aug 17 - Aug 28 2026 | Nairobi | $3,000 |
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| Sep 07 - Sep 18 2026 | Naivasha | $3,000 |
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| Sep 21 - Oct 02 2026 | Nanyuki | $3,000 |
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| Oct 05 - Oct 16 2026 | Eldoret | $3,000 |
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| Oct 19 - Oct 30 2026 | Nairobi | $3,000 |
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| Nov 02 - Nov 13 2026 | Nairobi | $3,000 |
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| Nov 16 - Nov 27 2026 | Naivasha | $3,000 |
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| Dec 07 - Dec 18 2026 | Nakuru | $3,000 |
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| Dec 21 - Jan 01 2027 | Nairobi | $3,000 |
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Phoenix Training Center
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