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Africa RISING West Africa logframe and
indicators
Thomas Wobill
Africa RISING West Africa Review and Planning Meeting
1 – 2 February, 2017
Accra, Ghana
Program Indicator Theories
Inputs Activities Outputs
Immediate
Outcomes
Intermediate
Outcomes
Long-term
Outcomes
Process
Indicators
Impact level
Indicators
Program/Project Process
Theory
Program/Project
Impact Theory
• Indicator statement
• Indicator definition (key terms)
• Unit of measure
• Justification & Management utility
• Data collection method and
frequency
• Data analysis and reporting
• Data quality assessment
Data
Aggregation
Overall HQ Level
CA Hub 175
EA Hub 138
SA Hub 84
WA Hub 305
TOTAL 702
WA Hub
Ghana 50
Benin 20
Nigeria 200
Liberia 35
TOTAL 305
SA Hub
Zambia 30
Malawi 54
TOTAL 84
EA Hub
Kenya 40
Tanzania 65
Uganda 33
TOTAL 138
CA Hub
Cameroon 67
DR Congo 108
TOTAL 175
Community
Sub-country
Country
Primary
Data
Community
Sub-country
Country
Primary
Data
Community
Sub-country
Country
Primary
Data
Community
Sub-country
Country
Primary
Data
Example
Number of diagnostic
tools developed
• Indicators: Determine whether data to be obtained
using the indicators would provide evidence of
achieving the results
• Means of verification: Determine whether the data
collection methods are feasible for obtaining data from
the sources, and can be used consistently throughout
the life of the program
• Assumptions: Determine whether the assumptions
are out of control or influence of the program, but are
critical for achieving the program objectives

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Africa RISING West Africa logframe and indicators

  • 1. Africa RISING West Africa logframe and indicators Thomas Wobill Africa RISING West Africa Review and Planning Meeting 1 – 2 February, 2017 Accra, Ghana
  • 2.
  • 3. Program Indicator Theories Inputs Activities Outputs Immediate Outcomes Intermediate Outcomes Long-term Outcomes Process Indicators Impact level Indicators Program/Project Process Theory Program/Project Impact Theory
  • 4.
  • 5. • Indicator statement • Indicator definition (key terms) • Unit of measure • Justification & Management utility • Data collection method and frequency • Data analysis and reporting • Data quality assessment
  • 6. Data Aggregation Overall HQ Level CA Hub 175 EA Hub 138 SA Hub 84 WA Hub 305 TOTAL 702 WA Hub Ghana 50 Benin 20 Nigeria 200 Liberia 35 TOTAL 305 SA Hub Zambia 30 Malawi 54 TOTAL 84 EA Hub Kenya 40 Tanzania 65 Uganda 33 TOTAL 138 CA Hub Cameroon 67 DR Congo 108 TOTAL 175 Community Sub-country Country Primary Data Community Sub-country Country Primary Data Community Sub-country Country Primary Data Community Sub-country Country Primary Data Example Number of diagnostic tools developed
  • 7. • Indicators: Determine whether data to be obtained using the indicators would provide evidence of achieving the results • Means of verification: Determine whether the data collection methods are feasible for obtaining data from the sources, and can be used consistently throughout the life of the program • Assumptions: Determine whether the assumptions are out of control or influence of the program, but are critical for achieving the program objectives