ABOUT

WHAT WILL THIS COURSE COVER?

This introductory course is designed to help service providers develop skills in collecting and reporting programmatic data to funders. Sessions will cover how to select relevant data for collection; how to implement appropriate data collection methods; and how to design, implement, and monitor data collection systems to support reporting and program improvement. The course will also include discussions of specific techniques for designing surveys and facilitating focus groups/interviews. Through hands-on activities, group work, real-world case scenarios, and practical exercises, participants will apply their learning in meaningful ways. 


COURSE OBJECTIVES

Upon completing this course, learners will be able to:

  • Identify key data to collect based on reporting requirements, evaluation and learning goals, definitions of project success, and stakeholder needs. 
  • Select appropriate data collection methods—from observation, interviews, and participatory methods—based on indicators, project needs, resources, and staff capacity, using key strategies to ensure effective implementation. 
  • Select appropriate data collection methods—from focus group discussions and surveys—based on indicators, project needs, resources, and staff capacity, using key strategies to ensure effective implementation. 
  • Develop a data management plan to ensure that data is orderly, minimize data cleaning tasks, and maintain adherence to data privacy and protection principles. 


COURSE SCHEDULE 

Module 1: Wednesday, June 18, 2:00 – 3:30 PM ET  
Module 2: Wednesday, June 25, 2:00 – 3:30 PM ET  
Module 3: Wednesday, July 2, 2:00 – 3:30 PM ET  
Module 4: Wednesday, July 9, 2:00 – 3:30 PM ET  


    1. Welcome to the Course!

    2. How to Navigate this Course

    3. Book Office Hours with Your Course Instructors

    4. Optional: Connect with Your Course Cohort Peers

    1. Required Pre-Work: Read: Collecting and Analyzing Data for Learning and Program Improvement

    2. Required Pre-Work: Read: Balancing M&E Priorities Guide

    3. Required Pre-Work: Case Scenario Introduction

    4. Module 1 Synchronous Zoom Session

    5. Optional Pre-Work: Watch: From Getting the Data You Need, to Getting the Data You Want​.  

    6. Optional Pre-Work: Read: 5 Steps for Choosing Data Collection Methods

    7. Optional Pre-Work: Read: 3 Steps for Developing Key Evaluation Questions

    8. Module 1 Slide Deck Downloadable

    1. Required Pre-Work: Watch: Methods Matter: 4 Questions to Consider When Choosing Data Collection Methods

    2. Required Pre-Work: Case Scenario Module 2

    3. Optional Pre-Work: Read: Collecting Client Feedback Data

    4. Optional Pre-Work: Read: Four Steps You Can Take to Start Measuring the Success of Your Project.

    5. Module 2 Synchronous Zoom Session

    6. Module 2 Slide Deck Downloadable

    1. Required Pre-Work: Read: Common Data Collection Methods.

    2. Required Pre-Work: Watch: Designing a Survey

    3. Required Pre-Work: Case Scenario Module 3

    4. Optional Pre-Work: Read: Ethical Considerations in Monitoring & Evaluation

    5. Module 3 Synchronous Zoom Session

    6. Module 3 Slide Deck Downloadable

    1. Module 4 Synchronous Zoom Session

    2. Module 4 Slide Deck Downloadable

    3. Required Pre-Work: Read: 4 Practical Tips for Improving Data Quality in Case Management Programs

    4. Required Pre-Work: Read: 7 Tips for Supporting Staff Through a Database Transition

    5. Optional Pre-Work: Listen: Data Quality in Case Management

    6. Required Pre-Work: Case Scenario Module 4

    1. Course Completion Satisfaction Survey

    2. Course Outro & Next Steps

Course Details

  • Free
  • 32 lessons

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