Number/percentage of targeted population <households, productive organizations, MSME> apply new acquired <knowledge, skills> promoted by the project to <strength, diversify, protect> their livelihoods [specify if necessary: improve the primary production or MSME, acquire a paid job, etc.]



Result level: 




Change in number of people applying newly acquired skills, knowledge promoted by the project to improve (strength, diversify, protect) their livelihoods activities

Increased application of knowledge and practices gained in all kind of livelihoods activities:
- primary production: application of best practices in agriculture; livestock; forestry; fishing
- transformation and production processing
- income generation activities and employment: improve or launch a business, get a paid job

- MSME: micro, small and medium enterprises (formal or informal)

Disaggregated by: 

Geography/Livelihoods zone;
Gender, age, disabilities, chronic diseases, and any other relevant criteria, such as urban/rural, religious, ethnic or political identities;
Wealth groups; Livelihoods group (e.g. pastoralist, farmers, traders)
Period to achieve the objective;

Direction of change: 


Data source: 

Both secondary and primary data collection can be used according to context.
- Baseline/Endline. If multiyear programme consider also a mid-term evaluation.
- Secondary data. Reliable/relevant sources from other actors, clusters or government (e.g. assessment information).

Unit of Measurement: Population (trained people) but can also be households, productive organizations, or MSME. If percentage:
- Numerator: Number of trained people that is applying new knowledge / skills.
- Denominator: Total number of trained people

Data Collection methods:
Secondary data analysis;
Households Survey, Focus Group Discussions;
Key Informant Interviews;
Productive organization, MSMEs survey, focus groups and records;
Observation (crops, herds management, etc.)

Measurement Guidance: 

Measure the use of the gained knowledge (all of them or one part). Typical approaches look at "X out of Y key practices" that drive productivity or quality.

Measure application of good production practices and their effects such as: change of household incomes; change of market links, etc. (depending on the acquired knowledge).

[primary production] Consider seasonal calendar to determine when to measure the indicator (e.g. main harvest, pests and diseases prevalence depending on the period).

[employment] Consider measuring not just quantitative aspects (get a new paid job) but also qualitative aspects (such as: prepare a CV, self-confidence, know worker's rights and duties, etc.).




At the end of the project X% of targeted farmers from Somaliland and Puntland (from those Y% are women) apply new livestock rearing and management techniques promoted by the project and the extension system to strengthen their livestock production.
At the end of the project X% of targeted traders and small-medium businesses from Somaliland and Puntland (from those Y% are headed by women) apply new market techniques promoted by the project to strengthen their business.
At the end of the vocational training program X% of trained people (from those Y% are women) apply new knowledge to acquire a paid job.