evaluation theory
The various program evaluation theories and their epistemological underpinning, and the most widely used evaluation approaches.
Monitoring and evaluation officers are responsible for the conceptualisation, design, implementation and follow-up of the monitoring and evaluation activities of projects, programmes, policies, strategies, institutions or processes, along the relevant programming cycle. They develop monitoring, inspection and evaluation methods and instruments needed to collect and analyse data, and report on results by applying structured M&E frameworks, theories, approaches and methodologies. M&E officers inform decision-making through reporting, learning products or activities and knowledge management. They can also engage in capacity development activities by providing training and capacity building support within their organizations or for clients and partners.
Competences and skills
49 ESCO relationsEssential knowledge 9 competences
Occupation specific
2 competencestypes of evaluation
The specificity and intended use of various types of evaluations, such as impact evaluation, process evaluation, performance evaluation, thematic evaluation, etc.
Sector-specific
3 competencesdata protection
The principles, ethical issues, regulations and protocols of data protection.
digital
information confidentiality
The mechanisms and regulations which allow for selective access control and guarantee that only authorised parties (people, processes, systems and devices) have access to data, the way to comply with confidential information and the risks of non-compliance.
digital
results-based management
The management strategy typically used by international governmental bodies (such as United Nations) and civil society organisations to monitor and measure the performance and achievement of results of a project or policy. It focuses on results defined as outputs, outcomes and impact which help organisations to achieve strategic goals.
Cross-sector
4 competencesethics
The philosophical study that deals with solving questions of human morality; it defines and systemises concepts such as right, wrong, and crime.
international development
International development is a multi-disciplinary discipline which approaches the socio-economic and human development of countries and regions from different perspectives.
scientific research methodology
The theoretical methodology used in scientific research involving doing background research, constructing an hypothesis, testing it, analysing data and concluding the results.
survey techniques
Techniques on how to identify a target audience, choose the right survey method and analyse the data.
Essential skills and competences 24 competences
Occupation specific
3 competencesdefine evaluation objectives and scope
Clarify the purpose and scope of the evaluation, frame its questions and boundaries.
plan evaluation
Define work parameters, plans and agreements for the evaluation.
use specific data analysis software
Use specific software for data analysis, including statistics, spreadsheets, and databases. Explore possibilities in order to make reports to managers, superiors, or clients.
digital
Sector-specific
7 competencesadapt evaluation methodology
Use appropriate evaluation methods, identify data requirements, sources, sampling, and data collection tools. Adapt evaluation designs and methods to specific contexts.
commission evaluation
Define evaluation needs, write responses for project proposals, terms of references. Manage tendering, review proposals, and select and onboard evaluation teams, quality assure evaluation process.
create data models
Use specific techniques and methodologies to analyse the data requirements of an organisation's business processes in order to create models for these data, such as conceptual, logical and physical models. These models have a specific structure and format.
digital
gather data for forensic purposes
Collect protected, fragmented or corrupted data and other online communication. Document and present findings from this process.
manage data
Administer all types of data resources through their lifecycle by performing data profiling, parsing, standardisation, identity resolution, cleansing, enhancement and auditing. Ensure the data is fit for purpose, using specialised ICT tools to fulfil the data quality criteria.
digital
reconstruct program theory
Define the program theory through stakeholder engagement, document and literature review, and key contextual understanding.
respect data protection principles
Ensure that access to personal or institutional data conforms to the legal and ethical framework governing such access.
Cross-sector
14 competencesapply organisational techniques
Employ a set of organisational techniques and procedures which facilitate the achievement of the set goals set such as detailed planning of personnel's schedules. Use these resources efficiently and sustainably, and show flexibility when required.
apply statistical analysis techniques
Use models (descriptive or inferential statistics) and techniques (data mining or machine learning) for statistical analysis and ICT tools to analyse data, uncover correlations and forecast trends.
digital
communicate with stakeholders
Facilitate communication between organisations and interested third parties such as suppliers, distributors, shareholders and other stakeholders in order to inform them of the organisation and its objectives.
design questionnaires
Study the objectives of the research and imprint those aims into the design and development of questionnaires.
develop communications strategies
Manage or contribute to the conception and implementation of an organisation's internal and external communications plans and presentation, including its online presence.
engage with stakeholders
Use a variety of processes that result in mutually negotiated agreements, shared understandings and consensus building. Build partnerships within the work context.
formulate findings
Use analyses to answer evaluation questions and, where appropriate, to develop recommendations.
implement data quality processes
Apply quality analysis, validation and verification techniques on data to check data quality integrity.
digital
manage project metrics
Gather, report, analyse and create key metrics for a project to help measure its success.
manage resources
Manage personnel, machinery and equipment in order to optimise production results, in accordance with the policies and plans of the company.
observe confidentiality
Observe the set of rules establishing the nondisclosure of information except to another authorised person.
perform data analysis
Collect data and statistics to test and evaluate in order to generate assertions and pattern predictions, with the aim of discovering useful information in a decision-making process.
digital
report analysis results
Produce research documents or give presentations to report the results of a conducted research and analysis project, indicating the analysis procedures and methods which led to the results, as well as potential interpretations of the results.
use databases
Use software tools for managing and organising data in a structured environment which consists of attributes, tables and relationships in order to query and modify the stored data.
digital
Optional knowledge 4 competences
Occupation specific
1 competencesystems thinking
The integrated approach to understanding how various constituents of a system interrelate, interact and influence one another within a whole logistic system.
digital
Sector-specific
2 competencesdevelopment economics
Development economics is the branch of economics that deals with processes of socio-economic and institutional change in low-income, transition, and high-income countries. It involves the study of several factors, including health, education, agriculture, governance, economic growth, financial inclusion, and gender inequality.
policy analysis
Understanding of the basic tenets of policymaking in a specific sector, its implementation processes and its consequences.
Cross-sector
1 competencesustainable development goals
The list of 17 global goals set by the United Nations General Assembly and designed as a strategy to achieve a better and more sustainable future for all.
green
Optional skills and competences 12 competences
Occupation specific
2 competencesconduct training on monitoring and evaluation frameworks
Educate and train research staff, policy makers, and various stakeholders on the concepts and tools used in monitoring and evaluation practices.
promote evaluation capacity development
Design and carry out training and other capacity building activities to strengthen evaluation practice, culture, or systems within or outside the organizations.
Sector-specific
4 competencesinterview people
Interview people in a range of different circumstances.
maintain data entry requirements
Uphold conditions for data entry. Follow procedures and apply data program techniques.
digital
manage data collection systems
Develop and manage methods and strategies used to maximise data quality and statistical efficiency in the collection of data, in order to ensure the gathered data are optimised for further processing.
digital
monitor recommendation follow-up
Engage with key-stakeholders and decision makers to periodically assess progress on the actions planned to address the recommendations of the evaluation.
Cross-sector
6 competencesconduct qualitative research
Gather relevant information by applying systematic methods, such as interviews, focus groups, text analysis, observations and case studies.
conduct quantitative research
Execute a systematic empirical investigation of observable phenomena via statistical, mathematical or computational techniques.
create data sets
Generate a collection of new or existing related data sets that are made up out of separate elements but can be manipulated as one unit.
digital
manage quantitative data
Gather, process and present quantitative data. Use the appropriate programs and methods for validating, organising and interpreting data.
digital
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- Excludes .
perform data cleansing
Detect and correct corrupt records from data sets, ensure that the data become and remain structured according to guidelines.
digital
process qualitative information
Compile, code, categorise, calculate, tabulate, audit or verify qualitative information.
- Scope note
- Excludes .