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Africa RISING, ESA Project
Monitoring and Information Management

Festo Ngulu, IITA and Charles Ainsley, IFPRI

Africa RISING–CSISA Joint Monitoring and Evaluation Meeting,
Addis Ababa, Ethiopia, 11-13 November 2013
Presentation Outline
• How to track activities & outputs
• Type and number of indicators
• Integration of information from external
sources
• Data management and reporting
• Need for custom indicators
HOW to track project Activities and Outputs
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---ctd.
Step 2: Actual monitoring:

• Field visits & data collection
• Interaction/interview - farmers, collaborators /
other beneficiaries
• Progress reports –quarterly/annual
• Publications
Number &Type of Indicators
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 )
Indicators –ctd.
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
Integration of information from external
sources
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)
•
Information integration ---ctd.
• 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
Data management & reporting
• 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
Need for custom indicators
• Influence of project outputs on social cultural values / perception
THANK YOU

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Africa RISING ESA Project: Monitoring and information management

  • 1. Africa RISING, ESA Project Monitoring and Information Management Festo Ngulu, IITA and Charles Ainsley, IFPRI Africa RISING–CSISA Joint Monitoring and Evaluation Meeting, Addis Ababa, Ethiopia, 11-13 November 2013
  • 2. Presentation Outline • How to track activities & outputs • Type and number of indicators • Integration of information from external sources • Data management and reporting • Need for custom indicators
  • 3. HOW to track project Activities and Outputs 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
  • 4. How to track---ctd. Step 2: Actual monitoring: • Field visits & data collection • Interaction/interview - farmers, collaborators / other beneficiaries • Progress reports –quarterly/annual • Publications
  • 5. Number &Type of Indicators 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 )
  • 6. Indicators –ctd. 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
  • 7. 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
  • 8. Integration of information from external sources 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) •
  • 9. Information integration ---ctd. • 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
  • 10. Data management & reporting • 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
  • 11. Need for custom indicators • Influence of project outputs on social cultural values / perception