1. Approaches followed & lessons learned – Group Feedback –Kolu Gelan Keble SLATE Training for Africa RISING / NBDC Addis Ababa / Jeldu. 1 - 5 April 2013

2. Facilitation  Criteria for selection of key informants - sampling was not proportional or representational – assumption based on the second day of research where farmers had greater access to assets - Geographic representation (those close by/ convenient)/ potential problem of interaction with DA when researcher has no knowledge of site  Less time allocated to identification/ evaluation of indicators – needed more time (Basic household data especially)  Different approaches in 3 kebeles – some included key informants in survey/ some excluded – which is best? SOLUTION - A clear idea of how many samples (proportional or equal numbers etc.) and exploration of potential census lists/ time for scoping in the field for basic stratification is needed to reduce DA AND questionnaire bias – time must be taken to reflect on outputs from key informants (and more detailed notes taken in focus group – potential experiments on participatory methods such as resource maps?)

3. Weighting and Scoring  Different level of understanding of enumerators – indicators and process – meant that farmers were also not always aware of the difference between weight and score and the way to address their own circumstances SOLUTION- must have pre-testing (day in class to discuss differences between weight and score- how to phrase/ consensus of approach etc. plus time in the field to try out – development of more detailed methodology – in field techniques etc.)  Weighting – relative weight for each indicator (if list is too long farmers find it difficult – farmers tend to rank rather than give proportionate score especially when the indicators are very hard to compare)  Scoring – relationships to weight are complex – issues with lack of negative scores – did not adequately show difference between rich/ poor farmers and their relative dependence on different sources of capital  Enumerators skill to challenge / question the farmers answer/ give examples of positive/ negative contribution SOLUTION- demonstration (interactive process – to minimise enumerators bias and to incorporate participatory process) – pictures and grains?

4. Data entry and Analysis  Similarity/ differences in questionnaires from each Kebele based on differences in sites - especially for key basic information across sites – must be decided because some lists are more detailed than others  SOLUTION IS DIFFICULT - merging indicators would be convenient for analysis but lists of indicators could be exhaustive – reducing list could exclude key incomes/ niche assets etc. – want to capture all typologies and not exclude  Accessibility of tool – copying/ sharing data etc.  SOLUTION- need to know how to merge datasets and more on data analysis

8. Low asset holder

9. High asset holder

10. Africa Research in Sustainable Intensification for the Next Generation africa-rising.net