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Objectively Verifiable Indicators

The OVIs should be: S pecific : including (where appropriate) clear targets; M easurable: in terms of quality and/or quantity; A vailable : at an acceptable cost; R elevant : to what they are supposed to measure (horizontal logic);

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Objectively Verifiable Indicators

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  1. The OVIs should be: Specific : including (where appropriate) clear targets; Measurable: in terms of quality and/or quantity; Available : at an acceptable cost; Relevant : to what they are supposed to measure (horizontal logic); Timely : produced in due time to be useful for project management. Objectively Verifiable Indicators

  2. Sources of Verification (I) • The logical framework requires that one spells out how the indicators will be collected : • How/through which methods ? • By whom? • When/how often? Admin records Activities, resources and costs required to collect this information must be included in the project design Project managers should focus on verifying the delivery of results and their contribution to the purpose

  3. Sources of Verification (II) Specialised surveys Cost Interviews with beneficiaries Adapted available statistics Available statistics Management reports Administrative reports Complexity

  4. Data needed at activity level and above • Inputs • Outputs • Results • Impact

  5. Setting up a system of indicators • Baselines and Context Indicators • Monitoring Indicators • Ex-ante quantification

  6. Implementing the Monitoring Indicators • Data Collection • Initial Data Analysis • Presentation of Data • Implementation reports

  7. Core Indicators • Enable comparisons between similar programmes and measures • Can often be aggregated • May have strategic importance

  8. Performance Indicators • Address: • Effectiveness • Quality of management • Financial implementation • But are NOT comparable between programmes

  9. Selected indicators for types of infrastructure projects

  10. Potential Problems • Establishing cause and effect relationships • Measurement methods and availability of data • Combining indicators • Indirect or unexpected effects

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