Post on 11-Jul-2015
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