Table of Contents
What is a logical framework in project planning?
A Logframe is another name for Logical Framework, a planning tool consisting of a matrix which provides an overview of a project’s goal, activities and anticipated results. It provides a structure to help specify the components of a project and its activities and for relating them to one another.
What are the contents of a logframe?
The logframe consists of a 4 x 4 matrix with four column headings: • Objective or narrative summary/ hierarchy of objectives; • Objectively verifiable indicators (OVIs)/ measurable performance indicators; • Means of verification/ monitoring and coordination; and • Important assumptions and risks.
What makes a good logical framework?
Objectively verifiable indicators (how you’ll measure the achievements). Means of verification (how you’ll collect the information for the indicators). Risks and assumptions (external conditions needed to get results).
What is the difference between logic model and logical framework?
A “logical framework” or “log frame” is a natural extension of the logic model: it magnifies the logic model by integrating indicators and targets and the means for measuring progress [36, 37].
What is the purpose of a logical framework?
The Logical Framework is a tool to help strengthen project design, implementation and evaluation. This means that it is best used throughout the project cycle. It helps to organize thinking, set performance indicators, allocate responsibilities and communicate effectively.
How do you write a Logical Framework matrix?
How to Prepare The Logical Framework Matrix?
- Goal: starting at the top and using the information from the Objective Tree write the overall objective of the project.
- Purpose: it describes the desired outcome that the project will achieve.
- Outputs: describe the project intervention strategy.
How do you write a logical framework analysis?
Project summary (explaining the objectives). Objectively verifiable indicators (how you’ll measure the achievements). Means of verification (how you’ll collect the information for the indicators). Risks and assumptions (external conditions needed to get results).