1. Data for PRS Monitoring: Institutional and Technical Challenges

2. Institutional Preconditions
PRS strategy is in place and objectives have been clearly set
Monitoring effort wasted – garbage in, garbage out
Evaluation can reveal wasted effort
Agreement on where monitoring should occur
are policies in place?
are inputs being provided?
are outputs being achieved?
are outcomes being realized?
Define specifics of what should be monitored and what should be evaluated

3. Why “M” and “E”? Management perspective Project/program perspective
Oversight and Accountability
Decisions about future funding based on the results
Desired effects
Implementation
Assure public and stakeholders that money is spent appropriately
Ensure staff or contractor accountability
Learning
Enhance learning among stakeholders
Project/program perspective
Design and Implementation
Feed back of results to improve implementation

4. Some Definitions: “M” A continuing function that uses
systematic collection of data
on specified indicators
Provides management with indications of
the extent of progress toward milestones and targets (results - MDGs)
achievement of outputs and outcomes
use of funds
Generally comprehensive for, and conducted by, business unit

5. Some Definitions: “E” A periodic function that uses
systematic assessment
of intended and unintended consequences
of a specific intervention
Provides management and the main stakeholders with indications of
quality, effectiveness, efficiency
attribution of effects to the intervention
key information for decision-making
Conducted by independent evaluators

6. Defining the Scope Purpose -- how to use M&E data?
Accountability? Planning? Learning? Better Implementation? Budgeting?
Prioritization – what data are important to collect?
Organization – who will collect data?
Periodicity – when?
Reporting – how the data be turned into usable information?
Costs – what are the cost implications for data collection and use?
Relevance, reliability, and validity of data– how will it be ensured?
Coordination of data– what are the mechanisms for interagency collaboration?

7. Being “SMART” About Monitoring Indicators
Specific
Measurable
Achievable
Relevant
Timely
Valid – measure what they set out to measure
Reliable – different people/agencies must produce the same statistic
Cost-Effective
Indicator have some key characteristics. First, they are SMART.