Datastat
Training Center invites You For
Training
Workshop on:
Result
Based Monitoring and Evaluation for Development
Results
Contact
us Via:
Mobile
No: +254724527104 (Whatsapp)
Email Add: info@datastatresearch.org
See
our Website www.datastatresearch.org
LINKS
FOR UPCOMING TRAINING WORKSHOPS:
Research
and Data Analysis Workshops
Agriculture
Development Workshops
About
the course
This course equips participants with skills in setting up and implementing results-based monitoring and evaluation systems. The participants will benefit from the latest M&E practices including the results and participatory approaches. This course will bring learning to practice for participants to learn about the results levels and their linkage with indicators and techniques for tracking and assessing the progress of a project with the aim of achieving long term results.
Duration
5
Days
Course Fee: 1100 USD
Online
Fee: 750 USD
Register
HERE
Who
Should Attend?
This
course is meant for Project Managers, Statisticians &
Researchers, Planners & Monitors and Evaluators, NGOS &
Government Ministries and Central Banks & Universities
Learning
Objectives
By
the end of this course the participants will be able to:
i. Determine
the relevant stakeholders involved in monitoring and evaluation of
projects
ii. Clarify
key project results levels
iii. Design
a project using logical framework
iv. Develop
indicators and targets for each result level
v. Track
performance indicators over the life of the project
vi. Evaluation
a project against the set results
vii. Develop
and implement an M&E system
viii. Develop
a comprehensive monitoring and evaluation plan
Course
Content
Module
I: Introduction to Results Based Project Management
a. Fundamentals
of Results Based Management
b. Why
is RBM important?
c. Results
based management vs traditional projects management
d. RBM
Lifecycle (seven phases)
e. Areas
of focus of RBM
Module
II: Fundamentals of Monitoring and Evaluation
a. Definition
of Monitoring and Evaluation
b. Why
Monitoring and Evaluation is important
c. Key
principles and concepts in M&E
d. M&E
in project lifecycle
e. Participatory
M&E
Module
III: Project Analysis
a. Situation
Analysis
b. Needs
Assessment
c. Strategy
Analysis
Module
IV: Design of Results in Monitoring and Evaluation
a. Results
chain approaches: Impact, outcomes, outputs and activities
b. Results
framework
c. M&E
causal pathway
d. Principles
of planning, monitoring and evaluating for results
Module
V: M&E Indicators
a. Indicators
definition
b. Indicator
metrics
c. Linking
indicators to results
d. Indicator
matrix
e. Tracking
of indicators
Module
VI: Logical Framework Approach
a. LFA
– Analysis and Planning phase
b. Design
of logframe
c. Risk
rating in logframe
d. Horizontal
and vertical logic in logframe
e. Using
logframe to create schedules: Activity and Budget schedules
f. Using
logframe as a project management tool
Module
VII: Theory of Change
a. Overview
of theory of change
b. Developing
theory of change
c. Theory
of Change vs Log Frame
d. Case
study: Theory of change
Module
VIII: M&E Systems
a. What
is an M&E System?
b. Elements
of M&E System
c. Steps
for developing Results based M&E System
Module
IX: M&E Planning
a. Importance
of an M&E Plan
b. Documenting
M&E System in the M&E Plan
c. Components
of an M&E Plan-Monitoring, Evaluation, Data management,
Reporting
d. Using
M&E Plan to implement M&E in a Project
e. M&E
plan vs Performance Management Plan (PMP)
Module
X: Baseline Survey in Results based M&E
a. Importance
of baseline studies
b. Process
of conducting baseline studies
c. Baseline
study vs evaluation
Module
XI: Project Performance Evaluation
a. Process
and progress evaluations
b. Evaluation
research design
c. Evaluation
questions
d. Evaluation
report Dissemination
Module
XII: Impact Evaluation
a. Why
impact evaluation is important
b. Project
attribution
c. Counterfactual
in IE
d. Analysis
techniques in IE;DID, PSM
Module
XIII: M&E Data Management
a. Different
sources of M&E data
b. Qualitative
data collection methods
c. Quantitative
data collection methods
d. Participatory
methods of data collection
e. Data
Quality Assessment
Module
XIV: M&E Results Use and Dissemination
a. Stakeholder’s
information needs
b. Use
of M&E results to improve and strengthen projects
c. Use
of M&E Lessons learnt and Best Practices
d. Organization
knowledge champions
e. M&E
reporting format
f. M&E
results communication strategies
Methodology
The
instructor led trainings are delivered using a blended learning approach and
comprises of presentations, guided sessions of practical exercise, web-based
tutorials and group work. Our facilitators are seasoned industry experts with
years of experience, working as professional and trainers in these
fields.
Contact
us Via:
Mobile No: +254724527104 (Whatsapp)
Email Add: info@datastatresearch.org
See
our Website www.datastatresearch.org