Evaluation Evidence for Fundraising Managers Training Course

Course overview

Fundraising managers are increasingly expected to prove more than activity delivery. Donors, boards and institutional partners ask whether funded programmes reached intended groups, produced measurable changes and represented value for money. Yet fundraising teams often receive monitoring data too late, in inconsistent formats, or without a clear link to proposal commitments, donor indicators and reporting claims. This course equips participants to turn programme evidence into credible funding narratives, donor reports and renewal cases without overstating results or duplicating the work of technical M&E colleagues.

Participants learn how to translate donor requirements into practical evidence questions, results frameworks and indicator plans. They practise reading logframes and theories of change, selecting meaningful outcome and output indicators, assessing data quality, interpreting disaggregated data, and distinguishing monitoring findings from evaluation conclusions. The course also covers evidence synthesis for proposals and reports, contribution claims, value-for-money evidence, ethical use of beneficiary data, and concise visual communication of results for different donor audiences.

Delivered over five instructor-led days, the programme combines facilitated instruction with humanitarian and development funding cases, indicator design clinics, data-review exercises and donor-report workshops. Participants work with a realistic programme portfolio and build an Evaluation Evidence Pack: a donor evidence matrix, indicator reference sheet, data-quality checklist, reporting storyboard and 90-day implementation plan. This practical set of deliverables can be adapted directly to an active grant, pipeline opportunity or organisational fundraising process.

The course is designed for fundraising managers who work across programme, finance and M&E functions and need enough technical confidence to challenge weak evidence, commission the right analysis and present defensible results to donors. It is equally useful for managers responsible for grant renewals, institutional donor reporting, resource mobilisation strategy and board-level fundraising performance updates.

Course objectives

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

• Translate donor reporting requirements into an evidence matrix linked to results, indicators, sources and reporting deadlines
• Interpret logframes and theories of change to identify the evidence needed for credible fundraising claims
• Design SMART output and outcome indicators with definitions, disaggregation requirements and feasible data sources
• Assess monitoring data quality using completeness, consistency, timeliness, accuracy and integrity checks
• Distinguish attribution, contribution and plausible contribution when communicating programme results to donors
• Synthesize quantitative and qualitative findings into a donor-report results narrative with proportionate caveats
• Create outcome-focused charts and dashboards in Excel and Power BI for donor and leadership audiences
• Produce an Evaluation Evidence Pack and 90-day action plan for an active funding portfolio

Benefits of attending

Target competencies

Who should attend

• Fundraising Managers — who must convert programme evidence into credible proposals, reports and renewal cases
• Institutional Funding Managers — who manage compliance with bilateral, multilateral and foundation donor requirements
• Grants Managers — who coordinate reporting inputs and need to identify evidence gaps before submission deadlines
• Business Development Managers — who need evidence-led win themes and past-performance claims for funding applications
• Programme Managers — who supply results to fundraising teams and need clearer alignment between delivery data and donor commitments
• M&E Officers — who collaborate with resource mobilisation colleagues and need to make findings usable for donor decision-making

Requirements and prerequisites

This is a foundation-to-intermediate course. Participants should be familiar with the basic purpose of grant proposals and donor reports, and ideally have worked with programme results, budgets or narrative reporting for at least one funding cycle. Ability to use spreadsheets for entering data, filtering rows and creating simple charts is helpful; participants should bring a laptop with Microsoft Excel access if possible. No prior training in evaluation design, statistics, Power BI, KoboToolbox or formal M&E qualifications is required. Complete beginners should expect a practical introduction to logframes, indicators, data-quality concepts and evidence-based reporting before progressing to applied analysis.

Training methodology

The instructor uses a simulated humanitarian and development grant portfolio to connect each method to decisions fundraising managers make. Short teaching segments introduce logframes, indicator standards, data-quality reviews and donor evidence claims; participants then apply them in guided Excel exercises, small-group evidence clinics and reporting workshops. Cases include incomplete monitoring datasets, conflicting partner reports and ambitious renewal claims. Each day ends with a practical output, while the final day converts individual work into an Evaluation Evidence Pack and a prioritised 90-day application plan for the participant’s own funding context.

Course outline

Day 1: Linking fundraising commitments to evidence

• The fundraising manager’s role in the programme evidence chain
• Donor due-diligence questions on results, risk and value for money
• Results chains: inputs, activities, outputs, outcomes and impact
• Reading a theory of change for fundable evidence claims
• Logframe structure and the vertical logic of assumptions
• Donor evidence matrices for proposals, reports and renewals
• Evidence governance: roles across fundraising, programme, finance and M&E

Workshop: Participants map a sample grant commitment into an evidence matrix that identifies each claim, indicator, data source, owner, deadline and risk.

Day 2: Designing usable indicators and monitoring plans

• Indicator selection for output, outcome and cross-cutting commitments
• SMART indicator construction and indicator reference sheets
• Numerators, denominators, baselines, targets and target rationale
• Disaggregation by sex, age, disability, location and vulnerability
• Data collection methods: surveys, registers, observations and key-informant interviews
• Sampling basics and when sample findings can support donor claims
• Monitoring-plan design with frequency, responsibility and verification sources

Workshop: Participants create an indicator reference sheet and monitoring schedule for a donor-funded livelihoods or protection intervention.

Day 3: Testing data quality and interpreting results

• Data-quality dimensions: validity, reliability, precision, integrity and timeliness
• Source-document verification and partner data review procedures
• Data-cleaning checks in Microsoft Excel
• Missing values, duplicates, outliers and denominator errors
• Trend analysis, variance analysis and target-performance interpretation
• Disaggregated analysis and equity-focused interpretation
• Ethical handling of beneficiary data, consent and safeguarding disclosures

Workshop: Using a flawed monitoring dataset, participants complete a data-quality checklist, clean priority errors and produce a findings note with evidence limitations.

Day 4: From findings to defensible donor narratives

• Monitoring, evaluation, learning and accountability evidence distinctions
• Attribution, contribution and plausible contribution claims
• OECD DAC evaluation criteria for fundraising evidence
• Triangulating quantitative results, qualitative feedback and financial evidence
• Value-for-money evidence: economy, efficiency, effectiveness and equity
• Writing results narratives with evidence, interpretation, limitations and action
• Selecting charts, tables and dashboard views for donor audiences

Workshop: Participants turn mixed programme findings into a two-page donor reporting storyboard containing a results narrative, caveats, visual and management response.

Day 5: Building an evidence system for funding decisions

• Evidence requirements across proposal, inception, progress, final and renewal stages
• Portfolio-level evidence registers and reporting calendars
• KoboToolbox form design principles for donor-relevant monitoring fields
• Power BI dashboard concepts for grant and portfolio performance
• Commissioning evaluations: terms of reference, questions, timing and budget
• Evidence risk registers and escalation routes for weak or late data
• Ninety-day implementation planning and internal stakeholder engagement

Workshop: Participants assemble and peer-review their Evaluation Evidence Pack, then produce a 90-day plan for embedding its templates and controls in an active funding workflow.

Tools & standards covered

Microsoft Excel, Microsoft Power BI, KoboToolbox, 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