This document discusses various aspects of field monitoring and information management for projects. It covers: - The purpose of monitoring is to regularly collect and analyze project data to make adjustments and ensure accountability. Evaluation analyzes a project at stages to see if objectives were achieved and provides lessons. - A monitoring work plan outlines monitoring events like surveys, reviews, and deadlines. It identifies who is responsible for each indicator and activity. - Data quality is important and should be assessed through audits. Regular data review meetings assess progress, trends, and plans. - Collecting valid, reliable, precise, and timely data according to standards ensures good quality for effective program design and decisions. Feedback loops are also important for

1. Field Monitoring and Information Management.
By Nyeapa Yakubu
Data
CQA

2. Monitoring The process of regularly and
systematically collecting and analyzing,
information about a project and, when
appropriate, using it to make adjustments to
the project. Project monitoring data may be
used to adjust project implementation, enable
internal and external reporting, inform project
design and advocacy, and promote
accountability to beneficiaries.

3. Evaluation A formal analysis at the
beginning, middle and end of a project that
investigates whether a project has achieved its
intended objectives. An important goal of
evaluation is to provide recommendations and
lessons to the project managers and
implementation teams that have worked on the
projects and for the ones that will implement
and work on similar projects.

4. Monitoring and Evaluation informs
end-of-project learning- to evaluate
what worked, lessons learnt and
planning for future project.

5. Monitoring Work Plan
WHAT The Monitoring Work Plan is a calendar of
the monitoring-related events that will occur during the
project. These can include trainings, baseline surveys,
routine monitoring, and donor deadlines.
WHO The Monitoring Work Plan should be
completed by the M&E and the Program.
WHEN The Monitoring Work Plan should be done
early in the project set-up and updated when the timing of
events change. It should be done after the indicator
matrix is complete.

6. HOW The Monitoring Work Plan should be completed
based on data collection events required for each
indicator (baseline, end line, routine data collection,
surveys, etc.), team-based data review, and donor report
deadlines.
The Work plan should also include key events that you
anticipate will occur. This can include trainings, data
quality reviews, and field visits. Once completed, you
should present the Data Workflow to the M&E and
Program staff.

7. Simple M&E Work Plan
Activity Indicator
definition
Target Frequency of
data
collection
Reporting
time lines
Who is
responsib
le
Indicator 1:
Activity 1
Activity 2
Indicator 2:
Activity 1
Activity 2

8. • DATA QUALITY AUDIT An assessment of the
validity, reliability, precision, integrity, and timeliness of
data. A data quality audit enables a manager to identify
and respond to data quality issues and determine the
extent to which existing data can be trusted and used to
influence project implementation decisions.
• DATA REVIEW MEETINGS Regular
meetings that should be held throughout the project
cycle to review monitoring data and assess project
progress, identify trends, and develop plans for course
correction.

9. Review meetings should come after most
data quality audit have been done on
monitoring data collected over time.
Review meetings should have a focus of
finding what works and what does not
work.

10. Measuring Quality Data
The data is only as good as its quality. The quality of data is
measured against six criteria:
Validity – data which clearly, directly and adequately
represents the result that was intended to be measured.
Reliability – if the process were repeated over and over again
it would yield the same result
Integrity – data have been protected from deliberate bias or
manipulation for political/personal reasons
Precision – data are accurate with sufficient detail
Timeliness – data are current and information is available on
time
Confidentiality – clients are assured that their data will be
maintained according to national and/or international
standards for data

11. Good quality data can be recognized by checking the
FACTS
F – Formatted Properly
A – Accurate
C – Complete
T – Timely
S – Segmented properly
Why FACTS?
It enables better program designing, better program
level decisions, better inputs to policy makers and
demonstrates dedication to accountability to funding
agencies.

12. How Best We Manipulate Data
Let’s use RATS to achieve this:
R – Raw data (i.e. forms)
A – Aggregated data (i.e. tables)
T – Trends (i.e. consistent changes over time)
S – Segmented data (i.e. split by sex, age,
etc.)

13. Feed Back
How would you feel if you wrote your girl/boyfriend a
letter and they didn’t respond?”
“What would you do if you deposited money into the
bank but they wouldn’t let you withdraw it?”
What is feedback?”
”What are the moments/stations for feedback within
the project?”
”Who mostly provides feedback for
improvement/modification of the intervention?
“Why?”

14. Whose feedbacks to whom and why?”
A free flow of information between team members is
essential. If one side is required to report to another,
it is equally important for the receiver of the report to
deliver feedback for improvement.
For example: The community mobiliser who compiles
weekly reports needs to provide feedback to the
project manager, who, in turn, needs to provide
feedback to the entire team. In this way the team is
all on the same page and accessing the same
information; this allows for a more comprehensive
effort.

15. Any Question/Comments or Recommendations
ThankYou