Most Significant Change Method for Participatory Evaluation Training Course

Course overview

Most Significant Change (MSC) is valuable when programme teams need to understand how and why change is experienced by participants, communities and frontline staff—not merely whether indicator targets were met. Development and humanitarian programmes often collect compelling stories but lack a defensible process for selecting, analysing and using them. This can leave managers with anecdotal evidence, unclear attribution claims, weak participant voice, and limited insight into unintended outcomes. MSC provides a structured participatory evaluation approach for surfacing and deliberating significant changes across complex, adaptive interventions.

This five-day instructor-led course teaches participants to design, facilitate and manage an MSC process from start to finish. Participants define domains of change, develop story prompts and consent procedures, plan purposive sampling and story collection, facilitate selection panels, document the reasons behind selection decisions, and conduct thematic analysis. The course addresses quality assurance, safeguarding, power dynamics, confidentiality, negative change stories, feedback loops, and the responsible use of stories alongside quantitative monitoring data and OECD DAC evaluation criteria.

Through a realistic development or humanitarian programme case, participants work with raw change stories, selection records and programme evidence. They practise interviewing and story elicitation, apply selection criteria at community and management levels, code stories in a structured analysis matrix, and develop findings that can be reported without overstating causality. Each participant leaves with an MSC implementation pack for a live or planned programme: a process map, domains of change, story collection form, panel scoring guide, analysis framework, consent language and implementation plan.

The course is designed for M&E professionals and programme staff who already work with results frameworks, evaluation questions or routine monitoring data and now need a rigorous participatory method for examining change in complex programmes.

Course objectives

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

• Design an end-to-end Most Significant Change process aligned to a programme’s evaluation purpose and decision cycle
• Define practical domains of change and develop open story-elicitation questions for different stakeholder groups
• Create an MSC story collection form with informed consent, safeguarding and confidentiality controls
• Plan purposive participant sampling, collection rounds and referral pathways for inclusive story gathering
• Facilitate a transparent MSC selection panel using documented criteria and reason-for-selection records
• Code and synthesise change stories using a thematic analysis matrix linked to programme evidence
• Triangulate MSC findings with monitoring data, evaluation questions and OECD DAC criteria without making unsupported causal claims
• Produce an MSC implementation pack containing tools, governance roles, quality checks and a reporting plan

Benefits of attending

Target competencies

Who should attend

• Monitoring, Evaluation and Learning Managers — who need credible participatory evidence for programme adaptation and donor reporting
• M&E Officers and Specialists — who design data-collection systems and need to add structured qualitative methods
• Programme Managers — who need to understand participant-defined outcomes and act on emerging change signals
• Evaluation Consultants — who need a defensible method for evaluating complex or adaptive interventions
• Accountability and Community Engagement Officers — who need to strengthen community voice and feedback in programme learning
• Research and Learning Coordinators — who synthesise field evidence into usable organisational learning products

Requirements and prerequisites

Participants should have practical familiarity with programme monitoring or evaluation, including results frameworks, indicators, theories of change, evaluation questions, or qualitative data collection. Experience conducting interviews, facilitating group discussions, or reviewing beneficiary feedback is useful, but not essential. Participants should be able to read and discuss short narrative accounts in English and work with basic spreadsheet tables. A laptop with spreadsheet software is recommended for the analysis exercises. Prior experience with Most Significant Change, NVivo, KoboToolbox, formal statistics, or advanced research design is not required; the course teaches the MSC workflow step by step.

Training methodology

The course combines instructor-led method demonstrations with a running development and humanitarian programme case. Participants examine real-style change narratives, redesign weak story prompts, conduct paired elicitation practice, and work in selection panels that must justify their choices in writing. Small groups build analysis matrices in Microsoft Excel, compare themes with routine monitoring data, and test reporting language for credible claims. Daily peer review identifies ethical and operational gaps. On day five, participants adapt the tools to their own programme and receive instructor feedback on a practical implementation plan.

Course outline

Day 1: MSC foundations and evaluation purpose

• Origins and principles of the Most Significant Change method
• Appropriate uses of MSC in complex development and humanitarian programmes
• Distinguishing change stories from success stories, case studies and outcome harvesting
• Linking MSC to theories of change and learning questions
• Defining the unit of change, time period and stakeholder perspective
• Selecting domains of change without predetermining participant responses
• MSC governance roles, collection cycles and decision points

Workshop: Participants map an MSC process for a programme case and produce a draft set of domains of change with a collection-cycle diagram.

Day 2: Ethical story collection and inclusive participation

• Open-ended story prompts and probing techniques
• Purposive sampling for gender, age, disability, geography and programme exposure
• Informed consent for collection, storage, quotation and public dissemination
• Safeguarding protocols for sensitive, traumatic and protection-related stories
• Confidentiality, anonymisation and secure narrative data management
• Managing interviewer influence, translation and power dynamics
• KoboToolbox form design for structured MSC story capture

Workshop: Participants conduct paired story-elicitation interviews and produce a completed, consent-controlled MSC story record for the case programme.

Day 3: Selection panels and documented value judgement

• Preparing community, field and senior-management selection panels
• Developing transparent selection criteria for significance and relevance
• Facilitating deliberation rather than voting for preferred stories
• Recording reasons for selection and rejection decisions
• Comparing selections across stakeholder groups and programme levels
• Handling disagreement, minority views and negative change stories
• Closing the feedback loop with story contributors and communities

Workshop: Teams run a simulated selection panel using a story set and produce a ranked selection record with documented reasons for their decisions.

Day 4: Analysis, triangulation and credible claims

• Preparing story datasets and maintaining an audit trail
• Inductive and deductive coding of MSC narratives
• Microsoft Excel analysis matrices for themes, populations and locations
• Identifying patterns, outliers, unintended outcomes and plausible mechanisms
• Triangulating stories with monitoring indicators, field observations and documents
• Using OECD DAC criteria to frame relevance, effectiveness and coherence findings
• Avoiding overclaiming on attribution, representativeness and prevalence

Workshop: Participants code a story dataset, build a thematic analysis matrix and produce two evidence-backed findings with stated limitations.

Day 5: Reporting and implementation planning

• Writing MSC findings for adaptive management and evaluation reports
• Combining selected stories, selection rationale and thematic evidence
• Designing ethical story products for donors, partners and internal learning
• Data protection, retention schedules and permissions for story reuse
• Quality assurance checks for collection, selection and analysis stages
• Budgeting, staffing and scheduling an MSC cycle
• Integrating MSC findings into review meetings and programme adaptation

Workshop: Participants complete and peer-review an MSC implementation pack for their own programme or the case programme, including tools, roles, timeline and reporting outputs.

Tools & standards covered

KoboToolbox, Microsoft Excel, NVivo, OECD DAC Evaluation Criteria

A typical training day

Live online deliveries follow the same structure in the East Africa Time zone, with shorter screen blocks and longer breaks.

What the fee includes

How you can take this course

Certification

Participants who complete the full five days receive the Skillset Development Certificate of Completion, stating the course title, course code, dates and delivery format — suitable for professional-development records and employer reimbursement.

Frequently asked questions