Restructuring Monitoring & Reporting to Improve Evidence-Based Adaptive Management and Programmatic Learning
Session Number: 2667
Track: Democracy and Governance
Session Type: Roundtable
Tags: adaptive management, Data Collection, evidence based decision-making, learning, monitoring and evaluation (M&E), Program Design, reporting
Session Facilitator: Linda Stern [Director of Monitoring, Evaluation & Learning - National Democratic Institute]
First Author or Discussion Group Leader: Linda Stern [Director of Monitoring, Evaluation & Learning - National Democratic Institute]
Second Author or Discussion Group Leader: Marzia Faraz [Monitoring and Evaluation Officer - National Democratic Institute ]
Third Author or Discussion Group Leader: Natasha Wheatley [MEL Database Specialist - National Democratic Institute]
Fourth Author or Discussion Group Leader: Sophia Tinsler [Director, Program Coordination - National Democratic Institute]
Time: Nov 10, 2017 (04:30 PM - 05:15 PM)
Room: PARK TWR STE 8218
Theme: Learning to Enhance Evaluation
Audience Level: All Audiences
Session Abstract (150 words):
Evaluations depend on high quality monitoring data collected and analyzed throughout the project cycle. Monitoring and reporting (M&R) functions help to create complementarity between ongoing data collection and evaluations by engaging the expertise of program, technical, administrative staff and local partners throughout program implementation. This roundtable brings together staff from the National Democratic Institute to share their experience in restructuring monitoring and reporting within the Institute. NDI piloted an M&R position on the Institute’s Program Coordination (PC) team -- a unit dedicated to donor compliance, communications and coordination within the Institute. The pilot tested the organizational efficacy of restructuring the M&R function as a complement to the Institute’s Evaluation and Learning unit. The roundtable participants will share the challenges and promising practice in restructuring monitoring and reporting, as well as its potential for improving evidence-based adaptive management, program evaluation and learning.
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