Presented by ILRI, ICARDA and Transition International, at the Gender Capacity Development Training, ILRI Addis, 23-27 October 2017

1. Module 4: Monitoring and documentation
ILRI, ICARDA and Transition International
Gender Capacity Development Training, ILRI Addis, 23-27 October 2017

2. 1. Objective module 4: Monitoring and
documentation
To increase partners’ knowledge of gender responsive
monitoring and documenting in such a way that they are
able to:
– design and use gender responsive monitoring
systems and,
– produce quality knowledge documents and
publications on gender

3. Focus
 focus on gender responsive monitoring and documenting and putting
gender central to monitoring systems – not at increasing general
monitoring and documentation capacities.
 Development organizations: monitoring and documenting the
gendered outcomes of their development interventions;
 Research organizations: monitoring and documenting the gendered
outcomes of research interventions, production of knowledge
documents and provision of gender inputs to other organizations’
publications

4. Learning questions
• What is a gender responsive monitoring system and what
does it consist of?
• How to design and use gender responsive monitoring
systems?
• How to use sex-disaggregated data in monitoring and gender
analysis?
• What are gender responsive indicators?
• How to monitor and document gender responsive
approaches?
• How to produce knowledge documents and publications on
gender?

5. Levels
Core Gender
Capacities
Environmental Organizational Individual
Gender analysis
and strategic
planning
A.I A.II A.III
Gender responsive
programming,
budgeting and
implementation
B.I B.II B.III
Knowledge
management and
gender responsive
M&E
C.I C.II C.III
Partnerships and
advocacy
D.I D.II D.III
Leadership and
transformation
E.I E.II E.III
Gender at the
workplace
F.I F.II F.III
Module 4
Focus module 4

6. Capacity Assessment outcomes for
development partners (assessment 2015)
Knowledge management and gender responsive M&E Averages Doyogena Horro Yabello
Org. Ind. Org. Ind. Org. Ind. Org. Ind.
The capacity to collect, interpret and report on sex-
disaggregated data 2.4 2.0 3.0 2.3
Existence and quality of a gender responsive M&E system
and ability to use it
1.8
2.3 2.0 1.0
Capacity to train other actors on gender responsive M&E 1.0 1.0 1.0 1.0
Access to and production of knowledge documents and
publications on gender 1.3 1.0 1.0 2.0
Capacity to provide gender inputs, perspectives, insights to
other organizations’ reports and publications
1.7 1.0 3.0 1.0
Staff’s ability to collect, interpret and report on sex-
disaggregated data 2.6 2.4 2.4 2.9
Staff’s ability to develop/work with gender sensitive
systems and tools for monitoring, evaluation and learning
and measuring changes from gender interventions
2.2 2.2 2.3 2.0
Staff’s access to and ability to produce quality documents
and publications on gender 1.9 1.9 1.9 1.8
Access to gender-sensitive M&E training of female and
male staff 2.1 2.2 2.1 1.9
Average
1.6 2.2
1.5 2.2 2.0 2.2 1.5 2.1
Note: maximum score = 5

7. Capacity Assessment outcomes for research
partners (assessment 2015)
Knowledge management and gender responsive M&E
Averages Areka Bako Yabello
Org. Ind. Org. Ind. Org. Ind. Org.
Ind
.
The capacity to collect, interpret and report on sex-
disaggregated data in all research 2.1 1.3 3.0 2.0
Existence and quality of a gender responsive M&E system
and ability to use it 1.7 2.0 2.0 1.0
The capacity to provide inputs for national policies and
legislation on gender responsive knowledge management
within VCs 1.0 1.0 1.0 1.0
The capacity to collect, develop and make accessible
quality knowledge documents and publications on gender 1.3 1.0 2.0 1.0
Capacity to provide gender inputs, perspectives, insights
to other organizations’ reports and publications 1.0 1.0 1.0 1.0
Scientists’ ability and commitment to collect, interpret
and report on sex- disaggregated data 2.2 1.4 2.5 2.6
Scientists’ ability to develop/work with gender sensitive
systems and tools for monitoring, evaluation and learning
and measuring changes from gender interventions
2.0 1.8 2.4 1.9
Scientists’ access to and ability to produce quality
documents and publications on gender 1.7 1.4 1.8 1.9
Average 1.7 2.0 1.3 1.6 1.8 2.2 1.2 2.1
Note: maximum score = 5

8. Agenda for today
1. Feedback from earlier modules;
2. Definition and scope of gender responsive monitoring;
3. Developing gender responsive indicators;
4. Practicum gender responsive monitoring;
5. The collection and use of sex-disaggregated data in
monitoring and gender analysis;
6. Develop learning questions and actions;
7. Workshop evaluation.

9. 2. Feedback from earlier modules
Recap from module 2 and 3

10. Feedback from earlier modules…

11. 3. Gender responsive monitoring

12. • helps to improve project performance: has the project
achieved improvements in the lives and well-being of
women and men?
• Proven impacts can be used to improve decision-making
and policies
• Know and address unintended negative consequences
and gender based constraints
• Gender responsive M&E identifies opportunities to
empower women
Why gender responsive monitoring?

13. • gender issues have to be measured on purpose and
from the start, otherwise they will not be given any
attention during the implementation of the project /
program
• Much M&E focuses on numbers and outputs and not on
quality of participation and benefits
• Data aggregated by household (and not by sex)
obscures gender differences within households
Why gender responsive monitoring?

14. Concepts: monitoring vs evaluation
Monitoring Evaluation
Continuous Periodical (mid/end term)
Analysis and checking of
progress
Assessment of impact,
effectiveness, sustainability
Often internal Often external
To improve
implementation
Assess achievement of
results

15. Concepts: gender responsive monitoring
• Assesses the project’s effects and impacts (intended or
unintended) on gender relations and women’s
empowerment.
• Tracks changes in:
– the conditions and positions of women and men participating
in the value chain,
– women's and men's shares in employment and income across
value chain nodes
– gender relations such as in the gender division of labor and
workload, differences in access and control over resources and
information, decision making, and others,
– women’s and men’s attitudes and perceptions.
• Gender responsive M&E should collect gender data and
analyze the reasons for gender differences and develop
interventions

16. 4. Developing gender responsive indicators

17. Gender responsive indicators: definition
an indicator that captures gender-related changes in society, in a value
chain, etc. over time
• Does the program/project have different benefits and results for
men and women? How and why?
• Does the program/project affect changes in gender relations? How
and why?
• Requires sex-disaggregated data collection
• Measures changes in positions and not (just) numbers, Compare:
– “the number of women who joined the producer association”
and
– “percentage change in proportion of women’s membership”
• involve both women and men in developing, collecting and
analyzing indicators

18. Gender responsive indicators: examples
From LAF program’s Gender Strategy – impact level
• Change in women’s share of income from livestock and fish
enterprises
• Participation of women and other vulnerable groups in the
livestock and fish markets
• Change in assets ownership by men and women
• Change in control of livelihood assets by men and women
• Change in consumption of Animal Source Foods (ASF) by men,
women, and children
• Change in women’s control of livestock and fish resources (e.g.
decision making power)

19. Gender responsive indicators: examples
From FAO-ILRI workshop on integrating gender in livestock projects
• Access to and control over assets
• Access to and use of technologies
• Production and productivity
• Labor use in livestock production
• Contribution of livestock to cash/no cash income
• Food security

20. Group exercise
• Develop 3-4 gender responsive indicators
– for your own gender strategy
– Drawing from the Poultry example
• Present indicators using a mindmap or similar diagram

21. Relevant indicators (objectively verifiable
indicators)
Quality What What do I want to achieve and
measure
Quantity How
much
How
How much do I want to achieve?
And how to measure this?
(numbers, %, grades, levels, etc)
Target group Who Who do I want to benefit
Taking into account variables like
sex, age, and ethnicity
Time/period When When do I want to have achieved
this and for how long
Place Where Where do I want to see the result
(place, space)

22. SMART indicators
Specific They specify who, what, where, when and
how much/often
Measurable They give an indication of quantity and quality
Achievable They are achievable at an acceptable cost (cost
effectiveness relationship)
Relevant They are relevant with respect to the objective
and ToC of the intervention
Time They are achievable in the time of the
intervention

23. 5. Sex-disaggregated data

24. Sex-disaggregated data: definition
Data related to individuals that are collected, analyzed and
presented separately for men and women.
disaggregate further by:
– age
– ethnicity
– marital status
– sexual identity
– ability
– etc.
Not the same as comparing male and female-headed
households!

25. Sex-disaggregated data: collection
Sex-disaggregated data can be collected from men and
women randomly selected from different households:
Household x: 1 man
Household y: 1 woman
Or from one man and one woman within one household
Household x: 1 man and 1 woman (primary members)
Not necessarily twice as many people!

26. Sex-disaggregated data: difficulties
• men may not be willing to allow their spouses to be
interviewed
• Women may not be available at certain times of day,
and men may be less likely to be present at other times
• inconsistencies in data between men and women
(especially when the same questions are asked to men
and women)
• “joint management” could be a disguised male
dominance
• Much of women’s work is under-valued or ‘invisible’ to
men and outsiders, and thus not reported

27. Sex-disaggregated data: possible solutions
• Use both male and female enumerators;
• men and women to be interviewed separately,
simultaneously and privately;
• multiple visits to households for gaining confidence,
follow-up discussions and comparison of data;
• Choose a time and place which is convenient for
women and men (may be different)
• Starting interviews with questions on less sensitive
domains
• Compare men and women’s responses to similar
questions, and gather feedback on differences (FGDs)
• Recognize diversities (class, ethnic, religious and other)
as well as individual preferences and abilities

28. 6. Monitoring and Evaluation tools
• Women empowerment index
• Women empowerment framework
• Gender value chain analysis

29. Women's Empowerment in Agriculture
Index (practicum)

33. Group exercise- developing and M&E
framework
• Objectives
• Activities
• Indicators
• Verification

34. Discussion
• Understanding of the tool
• Pros and cons of the tool
• Application of the tool for your own monitoring
• Data collection aspects

35. Developing learning questions and action plans
• Form group (by organization) and develop action plans

36. Workshop Evaluation

37. CGIAR Research Program on Livestock
livestock.cgiar.org
The CGIAR Research Program on Livestock aims to increase the productivity and profitability of livestock agri-food
systems in sustainable ways, making meat, milk and eggs more available and affordable across the developing world.
This presentation is licensed for use under the Creative Commons Attribution 4.0 International Licence.
The program thanks all donors and organizations which globally support its work through their contributions to the
CGIAR system