This was the topic of my report in Organizational Development subject in MAED-EM

1. Rilyn L. Canta
Presenter
DIAGNOSING ORGANIZATIONS

2. DIAGNOSE means to recognize and name the exact
character of a disease or a problem, by examining it.
DIAGNOSIS is the process of understanding
how the organization is currently
functioning and it provides the information
necessary to design change interventions

3. Organizational Diagnosis is a systematic
process of collecting and analyzing data to
identify the strengths and weaknesses of an
organization. It helps you understand the
current state of your organization, the gaps
between your desired and actual performance,
and the root causes of your problems.

4. Define the purpose and scope
Choose a diagnostic model
Collect and analyze data
Feedback Diagnostic
Information
STEPS OF ORGANIZATIONAL
DIAGNOSIS

5.  Define the purpose and scope
Why do you want to diagnose your
organization? What are the main
issues or challenges that you want
to resolve or improve? What are the
expected outcomes and benefits of
your diagnosis?

6.  Choose a diagnostic model
A diagnostic model is a framework that
helps you organize and interpret the data
that you collect. It provides you with a
set of criteria or dimensions to evaluate
your organization's performance and
identify the areas that need
improvement.

7. Here are some common diagnostic
models used in organizations:
1. *SWOT Analysis:* SWOT stands
for Strengths, Weaknesses,
Opportunities, and Threats. This
widely-used model helps
organizations assess their internal
strengths and weaknesses and
external opportunities and threats
in their business environment.

8. 2. *PESTEL Analysis:* PESTEL
stands for Political, Economic,
Social, Technological,
Environmental, and Legal
factors. This model helps
organizations analyze the
external factors that can impact
their operations and strategy.

9.  3. *Balanced Scorecard:* This
model measures an
organization's performance from
multiple perspectives, including
financial, customer, internal
processes, and learning and
growth. It provides a balanced
view of performance beyond just
financial metrics.

10.  4. *Gap Analysis:*
Gap analysis compares an
organization's current state to its
desired future state. It identifies
the gaps in resources,
capabilities, and performance
that need to be addressed to
achieve organizational goals.

11. 5.*Benchmarking:* It involves
comparing an organization's
processes, practices, and
performance metrics to those of
industry leaders or
competitors. It helps identify
areas for improvement and best
practices to adopt.

12. 6. *5 Whys:* This simple but
effective diagnostic model is
used to identify the root causes
of problems by repeatedly
asking "Why" until the
underlying cause is uncovered.
It helps address issues at their
source.

13. 7.*SWOT-TOWS Matrix:* Building
on the SWOT analysis, the SWOT-
TOWS matrix helps organizations
generate specific strategies by
matching internal strengths and
weaknesses with external
opportunities and threats

14. 8. *McKinsey 7S Framework:*
This model assesses an
organization's effectiveness by
examining seven key elements:
Strategy, Structure, Systems,
Shared Values, Skills, Style, and
Staff. It helps ensure alignment
and congruence within the
organization.

15. 9. *Causal Loop Diagrams:* Used
in systems thinking, these
diagrams depict the cause-and-
effect relationships between
various factors within an
organization. They help identify
feedback loops and complex
interactions.

16. 10.*Change Readiness Assessment:*
This model assesses an organization's
readiness for change by evaluating
factors like leadership support,
employee engagement, and
organizational culture.

17. 11. *Value Chain Analysis:* This
model examines an organization's
activities and processes to identify
areas where it can create value and
reduce costs.

19. • requires a systematic
approach, whether you're
diagnosing a medical condition,
troubleshooting a technical
problem, or assessing
organizational issues.
COLLECTING AND
ANALYZING DIAGNOSTIC
INFORMATION

20. Here's a step-by-step guide:
*1. Define the Problem:* - Clearly
articulate the problem or issue you
want to diagnose. Understand its
scope, significance, and impact.
*2. Determine Data Sources:* -
Identify the sources of data and
information relevant to the
problem. This could include
documents, databases, interviews,
observations, or sensor data.

21.  *3. Plan Data Collection:* - Develop a
data collection plan that outlines what
data you need, how to collect it, and
from whom. Ensure data collection
methods are ethical and comply with
privacy regulations.
 *4. Collect Data:* - Execute the data
collection plan. Gather data
systematically, ensuring accuracy and
consistency. - Record metadata such as
timestamps and data sources to
maintain data integrity.

22.  *5. Organize Data:* - Clean, format, and
organize the collected data to make it
suitable for analysis. Remove duplicates,
handle missing values, and create a
structured dataset.
 *6. Data Analysis:* - Choose appropriate
analytical techniques based on the nature of
the data and the problem. Common methods
include: - Descriptive statistics to summarize
data. - Visualization tools (charts, graphs,
histograms) to explore data visually. -
Statistical tests for hypothesis testing. -

23.  *7. Hypothesis Generation:* - Based on data
analysis, develop hypotheses or theories
about potential causes or contributing factors
related to the problem.
 *8. Testing Hypotheses:* - Conduct
experiments, tests, or further data analysis to
validate or refute the hypotheses. Use control
groups and best practices when applicable.

24.  *9. Root Cause Analysis:* - If needed,
perform root cause analysis to identify
the underlying causes of the problem.
Techniques like the "5 Whys" can be
helpful.
 *10. Document Findings:* -
Document the entire diagnostic
process, including data collection
methods, analysis techniques,
findings, and insights.

25.  *11. Communicate Results:* - Present your
findings and analysis to relevant
stakeholders clearly and concisely. Tailor
your communication to the audience's level
of expertise.
 *12. Decision-Making:* - Based on the
diagnostic information, make informed
decisions about addressing the problem.
Develop action plans or strategies for
resolution.

26.  *13. Implementation:* - If solutions
are required, implement the necessary
changes, policies, or interventions
based on your diagnostic findings.
 *14. Continuous Monitoring:* -
Continuously monitor the situation or
system to ensure that the problem
remains resolved or that improvements
are sustained.

27.  *15. Feedback and Iteration:* - Gather
feedback from the implementation
phase and the post-implementation
monitoring. Use this feedback to refine
your diagnostic process for future
issues.
 *16. Maintain Ethical
Considerations:* - Ensure that data
collection and analysis adhere to ethical
standards, including privacy and data
protection regulations.

29. FEEDING BACK DIAGNOSTIC
INFORMATION
 the most important step in the diagnostic
process is feeding back diagnostic
information to the client organization.
 Properly analyzed and meaningful data
can have an impact on organizational
change only if organization members can
use the information to devise appropriate
action plans.

30. DETERMINING THE CONTENT OF
THE FEEDBACK
Relevant
Understandab
le
Descriptive
Verifiable
Timely
Limited
Significant
Comparative
Unfinalized