1. Project Management Fundamentals
Project identification and design

2. Project Identification and Design
Data collection
Data analysis
Project intervention logic
Decision gates

3. The Purpose of Data Collection
To broadly explore a wide variety of a number of issues providing information which, when analyzed, will inform priorities and identify interventions that will address the challenges in a target area Key concept: stay open minded!

4. Identifying Needs: Triangulation
Felt needs: thoughts, dreams, “wants” of the community
Expressed needs: identified through observation
Comparative needs: compare to others’ situation
Normative needs: evaluation based on professional standards

5. Types of Data Secondary data Primary data Method mixing is beneficial
Qualitative data
Quantitative data
Method mixing is beneficial

6. Data Analysis: Current State
What is happening now?
Tools
Vulnerability matrices
Ranking exercises/prioritization
Gap assessment analysis/service provision
Focus groups/critical thinking
Problem trees/cause-effect relationships

7. Data Analysis: Future State
What will be different in the future?
Community considerations
Needs prioritization
Other existing programs
Appropriateness
Institutional capacity
Organization considerations
Resource availability
Feasibility and sustainability
Program and portfolio “fit”

8. Project Intervention Logic Matrix
Source: PMD Pro Guide

9. Project Intervention Logic Matrix
Indicators: measure/observation of change
Verification: source of indicators
Assumptions: external factors which must be true to proceed from activities to outputs/outcomes/goals

10. Decision Gates Point of decision: proceed/modify/end
Occur at regular intervals during the project
Benefits
Time and resource expenditure management
Robust analysis of project concept
Maintain focus
Ensure original assumptions have not changed