Outcome Harvesting and Contribution Analysis Training Course

This course equips participants with practical skills to evaluate complex change using Outcome Harvesting and Contribution Analysis. It focuses on outcome identification, evidence collection, substantiation, contribution stories, and using findings for learning and accountability.

Target Groups

• Monitoring and evaluation specialists
• Programme and project managers
• Evaluators and researchers
• Policy, advocacy, and governance practitioners
• Donor and programme officers
• Learning and knowledge managers
• Managers and supervisors seeking to strengthen organizational practice in this field
• Consultants and professionals supporting related organizations

Course Objectives

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

• Explain complexity-aware evaluation approaches
• Apply the six steps of Outcome Harvesting
• Draft clear, verifiable outcome statements
• Collect data from documents, informants, and stakeholders
• Substantiate outcomes with independent sources
• Classify and analyze harvested outcomes
• Develop and test theories of change for contribution analysis
• Assess alternative explanations and contribution claims
• Build credible contribution stories
• Use findings for learning, reporting, and adaptive management

Course Modules

Module 1: Complexity and Evaluation Approaches

• Limits of linear evaluation
• Complex change contexts
• Overview of outcome-focused approaches
• When to use each method
• Ethics and participation

Module 2: Outcome Harvesting Overview and Design

• Definition of outcomes
• Six steps overview
• Harvest users and uses
• Harvest questions
• Scoping and planning

Module 3: Drafting Outcome Descriptions

• Outcome statement structure
• Significance and contribution
• Writing verifiable statements
• Quality checks
• Examples and practice

Module 4: Collecting and Verifying Evidence

• Document review
• Interviews and focus groups
• Triangulation
• Substantiation with independent informants
• Managing bias

Module 5: Analyzing and Interpreting Harvested Outcomes

• Coding and classification
• Outcome patterns
• Qualitative analysis tools
• Visualizing results
• Reporting to users

Module 6: Contribution Analysis Fundamentals

• Cause-effect questions
• Contribution analysis steps
• Role of theory of change
• Contribution versus attribution
• Applicable contexts

Module 7: Developing and Testing the Contribution Story

• Building the results chain
• Assumptions and risks
• Gathering existing evidence
• Alternative explanations
• Strengthening the story

Module 8: Combining the Two Approaches

• Complementarity
• Using harvested outcomes in contribution analysis
• Mixed-method design
• Data management
• Quality criteria

Module 9: Reporting and Learning

• Reporting formats
• Communicating findings
• Learning events
• Adaptive management
• Ethical use of findings

Module 10: Practical Exercises and Capstone Project

• Drafting outcome statements from a case
• Substantiating outcomes using sample evidence
• Building a contribution story
• Analyzing alternative explanations
• Presenting evaluation findings to a mock stakeholder panel