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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

Africa RISING West Africa logframe and indicators

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Page 1: Africa RISING West Africa logframe and indicators

Africa RISING West Africa logframe and indicators

Thomas WobillAfrica RISING West Africa Review and Planning Meeting

1 – 2 February, 2017Accra, Ghana

Page 2: Africa RISING West Africa logframe and indicators
Page 3: Africa RISING West Africa logframe and indicators

Program Indicator Theories

Inputs Activities

Outputs

Immediate Outcomes

Intermediate

OutcomesLong-term Outcomes

Process Indicators

Impact level Indicators

Program/Project Process Theory

Program/Project Impact Theory

Page 4: Africa RISING West Africa logframe and indicators
Page 5: Africa RISING West Africa logframe and indicators

• Indicator statement• Indicator definition (key terms)

• Unit of measure

• Justification & Management utility

• Data collection method and frequency

• Data analysis and reporting

• Data quality assessment

Page 6: Africa RISING West Africa logframe and indicators

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 HubKenya 40

Tanzania 65

Uganda 33

TOTAL 138

CA Hub

Cameroon 67

DR Congo 108

TOTAL 175

Community

Sub-countryCountry

Primary Data

Community

Sub-countryCountry

Primary Data

Community

Sub-countryCountry

Primary Data

Community

Sub-countryCountry

Primary Data

ExampleNumber of diagnostic

tools developed

Page 7: Africa RISING West Africa logframe and indicators

• 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