For reflection 1: Reflect on your organization for a moment. Is data monitored in any way and if so, how frequently does that monitoring take place? Does this monitoring include data auditing as described in the Background and Definitions section above? Have you ever been part of a supportive supervision process? Did you learn through the process? How many of the short- and medium-term results listed are visible in your organization?
4. Benefits of Supportive Supervision and Data Auditing as Part of an M&E System Supportive supervision and data auditing are useful because: 1. These processes help improve the credibility of the data by improving program stakeholders’ confidence that the data presented to them represent a true picture of the services delivered. 2.
These processes help build program implementers’ capacity in routine data collection and capture, and in using data to improve their own programs.
3.
These processes help to improve the use of information for decision making, as more program implementers collect, capture, and learn how to use better quality data.
5. Implementation Issues in Supportive Supervision and Data Auditing 5.1. Supportive supervision and data auditing are integral parts of a routine monitoring system
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When designing a routine monitoring system, supervision and data auditing procedures should also be designed. In this way, data management processes are linked with data auditing processes. 5.2. Adequate funding and skilled human resources for supportive supervision are needed Appropriate funding should be allocated to these processes. The team of supervisors should be well versed in M&E and be able to respond to M&E questions and needs of implementers when supportive supervision is undertaken.
Supportive Supervision and Data Auditing
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