Microsoft Excel Analysis for Monitoring and Evaluation Training Course

Course overview

Monitoring and evaluation teams routinely receive partner reports, beneficiary registers, survey exports, activity trackers and indicator updates in inconsistent Excel formats. Turning these files into reliable evidence requires more than formulas: staff must trace indicator definitions, clean disaggregated data, calculate progress against targets, identify data-quality problems and present findings that programme managers, donors and field teams can act on. This course addresses the practical gap between collecting M&E data and producing defensible performance analysis.

Participants use Microsoft Excel to structure M&E datasets, apply data validation rules, clean and combine reporting files with Power Query, calculate indicator values, analyse baseline-to-endline change, and monitor actual results against planned targets. The course covers pivot tables, pivot charts, conditional formatting, lookup and aggregation formulas, dashboard design, disaggregation analysis and data-quality checks. Participants also learn how to document calculations and distinguish output, outcome and impact measures when building analysis workbooks.

Teaching is based on a development programme case study involving multi-site service delivery, beneficiary data and quarterly indicator reporting. Each day combines instructor demonstration with guided Excel builds, review of realistic data errors and peer discussion of interpretation choices. By the end of the week, each participant produces a reusable Excel M&E reporting workbook containing a cleaned dataset, indicator calculation sheet, disaggregated pivot analysis, target-versus-actual dashboard and data-quality log.

The course is designed for M&E practitioners, programme staff, project managers and analysts working in development, humanitarian and social-impact programmes who already use Excel and need stronger, more consistent methods for analysing and reporting results.

Course objectives

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

• Build an Excel indicator tracking workbook that links definitions, baselines, targets, actuals and reporting periods
• Clean and standardise partner reporting datasets using Excel tables, data validation and Power Query transformations
• Calculate output and outcome indicators using SUMIFS, COUNTIFS, XLOOKUP, IFERROR and date-based formulas
• Analyse results by sex, age, location and vulnerability group using pivot tables and calculated fields
• Test M&E datasets for completeness, duplication, outliers and inconsistent disaggregation categories
• Compare actual results against targets and calculate achievement rates, variances and cumulative progress
• Create an Excel dashboard with pivot charts, slicers, conditional formatting and management-ready commentary
• Document data sources, calculation logic, assumptions and limitations in a reproducible M&E analysis workbook

Benefits of attending

Target competencies

Who should attend

• Monitoring and Evaluation Officers — who must convert programme data into credible indicator reports and dashboards
• M&E Coordinators — who need consistent analysis methods across projects, partners and reporting cycles
• Programme Managers — who review performance against targets and need evidence for corrective action
• Project Officers — who compile activity and beneficiary data for donor and internal reporting
• Data Analysts — who support development or humanitarian teams with routine results analysis in Excel
• Grants and Reporting Officers — who prepare narrative and quantitative performance submissions for funders

Requirements and prerequisites

Participants should be comfortable entering and organising data in Microsoft Excel, using basic formulas such as SUM and AVERAGE, sorting and filtering lists, and working with rows, columns and worksheets. Familiarity with common M&E concepts such as indicators, baselines, targets, outputs and outcomes is helpful; participants should ideally have worked with project, survey, beneficiary or partner-reporting data. A laptop with desktop Microsoft Excel 365 or Excel 2021 is required for practical work. Prior experience with Power Query, pivot tables, dashboards, statistics, coding, Power BI or formal evaluation design is not required.

Training methodology

The instructor uses a single development programme dataset throughout the week, including beneficiary records, activity data, partner submissions and indicator targets. Short demonstrations show the Excel method first; participants then build the same component in guided exercises and troubleshoot realistic errors such as duplicate IDs, missing disaggregation values and mismatched reporting periods. Case discussions focus on what findings mean for programme decisions, not just chart production. Small groups review each other's dashboards against an M&E reporting brief, followed by individual action planning for an existing workplace report.

Course outline

Day 1: Structuring M&E Data for Reliable Analysis

• Results frameworks, indicator reference sheets and reporting questions
• Output, outcome and impact measures in Excel reporting
• Excel tables and structured references for M&E datasets
• Designing beneficiary, activity and indicator tracking data structures
• Data validation lists for locations, sex, age groups and reporting periods
• Cleaning text, dates and numeric fields with Excel functions
• Data-quality dimensions: completeness, consistency, uniqueness, timeliness and validity

Workshop: Participants audit a flawed beneficiary and activity register, correct key structural errors and create a validated Excel data-entry table with a data-quality log.

Day 2: Cleaning, Combining and Calculating Indicators

• Power Query imports from Excel and CSV partner-reporting files
• Appending monthly and quarterly reporting tables
• Merging beneficiary records with location and service reference tables
• Handling null values, duplicates and inconsistent category labels
• XLOOKUP, INDEX-MATCH and IFERROR for reference-data matching
• SUMIFS, COUNTIFS and DISTINCT counting approaches for indicator calculation
• Creating documented indicator calculation and assumptions sheets

Workshop: Participants use Power Query and Excel formulas to consolidate three partner files and calculate a set of monthly output indicators.

Day 3: Analysing Performance and Disaggregation

• Pivot table design for indicator and beneficiary analysis
• Grouping dates into months, quarters and financial years
• Analysing results by sex, age, location and vulnerability category
• Calculating target achievement rates and performance variances
• Cumulative progress calculations across reporting periods
• Baseline, endline and change analysis in Excel
• Identifying outliers, unusual patterns and data interpretation questions

Workshop: Participants build pivot-table analyses that identify performance gaps by district and population group and prepare a short findings note.

Day 4: Building M&E Dashboards and Reporting Views

• Selecting dashboard measures for programme management and donor reporting
• Pivot charts for trends, target comparison and disaggregated results
• Slicers and timelines for interactive reporting filters
• Conditional formatting for traffic lights, exceptions and threshold alerts
• Variance charts and target-versus-actual visualisations
• Dashboard layout, labelling and accessibility considerations
• Writing concise evidence statements and data caveats alongside charts

Workshop: Participants create a one-page interactive programme performance dashboard with slicers, charts, target alerts and management commentary.

Day 5: Quality Assurance and Applied M&E Reporting

• Quality assurance checklist for Excel M&E workbooks
• Tracing formulas, checking references and protecting calculation sheets
• Reconciling dashboard totals with source data and partner reports
• OECD DAC evaluation criteria and appropriate evidence questions
• Presenting findings, limitations and recommendations to decision-makers
• Version control, file naming and audit trails for reporting workbooks
• Workplace implementation planning for recurring reporting cycles

Workshop: Participants complete and present their reusable M&E reporting workbook, including a quality-assurance checklist and a 90-day implementation plan.

Tools & standards covered

Microsoft Excel, Microsoft Power Query, Microsoft Power Pivot, 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