Project Management, Monitoring, Evaluation, and Impact Assessment Using MS Project and KoboToolbox Training Course

Day 1: Project Planning and Management Concepts

• Understanding project management principles and processes.
• Defining project goals, objectives, and deliverables.
• Identifying project stakeholders and expectations.
• Understanding project lifecycle phases.
• Establishing project governance structures.
• Developing project scope statements.
• Aligning projects with organizational strategies.

Day 2: Project Design and Results Framework Development

• Developing project logic models.
• Designing results chains and theories of change.
• Establishing project outcomes and outputs.
• Defining performance indicators.
• Identifying assumptions and risks.
• Creating results frameworks.
• Strengthening project accountability systems.

Day 3: MS Project Interface and Project Setup

• Navigating the MS Project environment.
• Creating new projects and calendars.
• Defining project activities and milestones.
• Structuring work breakdown schedules.
• Organizing project tasks efficiently.
• Establishing project timelines.
• Configuring project settings and templates.

Day 4: Project Scheduling and Resource Management

• Creating task dependencies and relationships.
• Assigning resources to project activities.
• Managing project workloads and capacities.
• Developing realistic project schedules.
• Monitoring critical paths and milestones.
• Balancing resource utilization.
• Optimizing project timelines.

Day 5: Project Tracking and Performance Monitoring

• Updating project progress information.
• Monitoring schedule performance.
• Tracking project costs and resources.
• Managing project variances.
• Generating project status reports.
• Evaluating project performance indicators.
• Supporting project decision-making.

Day 6: Monitoring and Evaluation Systems Design

• Developing monitoring plans and frameworks.
• Selecting indicators for project tracking.
• Establishing baseline information requirements.
• Designing data collection schedules.
• Creating reporting systems and processes.
• Managing monitoring workflows.
• Strengthening accountability mechanisms.

Day 7: Introduction to KoboToolbox for Data Collection

• Understanding KoboToolbox functionalities.
• Creating KoboToolbox accounts and projects.
• Designing digital questionnaires.
• Configuring form settings and validation rules.
• Managing user roles and permissions.
• Preparing forms for field deployment.
• Understanding data collection workflows.

Day 8: Advanced KoboToolbox Form Development

• Applying skip logic and branching techniques.
• Using calculations and automated fields.
• Integrating multimedia and GPS data.
• Designing complex survey instruments.
• Improving form usability and efficiency.
• Managing offline data collection.
• Testing and validating survey tools.

Day 9: Field Data Collection and Quality Assurance

• Deploying digital forms in field settings.
• Managing enumerator activities.
• Conducting field monitoring exercises.
• Implementing data quality controls.
• Reviewing submitted records.
• Addressing common data collection challenges.
• Strengthening field supervision practices.

Day 10: Data Management and Cleaning

• Exporting KoboToolbox datasets.
• Organizing collected project data.
• Identifying and correcting data errors.
• Managing missing and inconsistent records.
• Preparing datasets for analysis.
• Ensuring data integrity and reliability.
• Establishing data management procedures.

Day 11: Monitoring Data Analysis and Reporting

• Analyzing project monitoring data.
• Measuring indicator performance.
• Creating performance dashboards.
• Developing monitoring reports.
• Interpreting project progress findings.
• Presenting monitoring results effectively.
• Supporting adaptive project management.

Day 12: Project Evaluation Approaches and Methods

• Understanding evaluation purposes and types.
• Planning project evaluations effectively.
• Developing evaluation questions.
• Selecting evaluation methodologies.
• Designing evaluation data collection tools.
• Managing evaluation activities.
• Ensuring evaluation quality standards.

Day 13: Impact Assessment Techniques

• Understanding impact assessment concepts.
• Measuring project outcomes and impacts.
• Applying quantitative assessment methods.
• Applying qualitative assessment approaches.
• Conducting outcome harvesting exercises.
• Assessing sustainability and long-term effects.
• Managing attribution and contribution challenges.

Day 14: Evaluation Data Analysis and Findings Presentation

• Organizing evaluation datasets.
• Analyzing quantitative and qualitative findings.
• Interpreting project impact results.
• Developing evidence-based conclusions.
• Creating evaluation reports.
• Presenting findings to stakeholders.
• Formulating actionable recommendations.

Day 15: Integrated Project Management and M&E Practicum

• Developing complete project management plans.
• Creating monitoring and evaluation frameworks.
• Building KoboToolbox data collection systems.
• Managing project schedules using MS Project.
• Conducting project performance reviews.
• Presenting integrated project and M&E solutions.
• Developing action plans for workplace implementation.