Africa RISING, ESA Project

Monitoring and Information Management

Africa RISING–CSISA Joint Monitoring and Evaluation Meeting, Addis Ababa, Ethiopia, 11-13 November 2013

Festo Ngulu, IITA and Charles Ainsley, IFPRI

• How to track activities & outputs• Type and number of indicators• Integration of information from external

sources• Data management and reporting• Need for custom indicators

Presentation Outline

Step 1: • Project Log frame – goal > outcome> output >

activities > performance indicators• Work plan – what, when, by who &resources

needed• Key parameters for assessment – agronomic &

end users point of view /perception

HOW to track project Activities and Outputs

Step 2: Actual monitoring:

• Field visits & data collection

• Interaction/interview - farmers, collaborators / other beneficiaries

• Progress reports –quarterly/annual

• Publications

How to track---ctd.

1. Field & Demo Trial:

• Agronomic indicators- qualitative & quantitative (e.g. maturity, yield, grain type, pest and disease resistance, drought tolerance, resilience to lodging )

• Utility indicators - famer preference by gender (e.g. coockability, taste, marketability, compatibility in farming system )

Number &Type of Indicators

2. Initial Uptake phase indicators

• Number of beneficiaries reached /exposed to the technology

• Number of farmers linked to traders and /or sales volume /value

• Technical report

Indicators –ctd.

3. Indicators on capacity building

• Number of trainees by gender by topic

• Feedback from trainees – content & relevance of the training

• Technical & Financial report

Indicators ---ctd.

• Meteorological data – e.g. amount and distribution of rainfall / annum:- useful in interpretation of trial data

# A-R installed rainfall gauges in action sites (mostly in pr. Schools)

Integration of information from external sources

•Markets & access to market information – which product for which market

• Bylaws- existing/need for new ones

• Policies –e.g. subsidy, quality declared seed

• Social-cultural norms --- positive/negative

Information integration ---ctd.

• Data quality –design of trial/study, parameters and assessment protocol & data analysis

• Data management–soft/hard copies

• Report submission timeline and circulation - to donor, partners and beneficiaries

•Media used for publicizing the information

Data management & reporting

• Influence of project outputs on social - cultural values / perception

Need for custom indicators

THANK YOU