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Participatory study
• Participatory study is more sustainable
• It is more on issue focused
• Active Involvement
• Action oriented
• Democratic decisions and results will be
benefited to masses
Problem identification problem
analysis
• Define the Problem. What is the problem?
• Step 2: Clarify the Problem
• Step 3: Define the Goals
• Step 4: Identify Root Cause of the Problem
• Step 5: Develop Action Plan
• Step 6: Execute Action Plan
• Step 7: Evaluate the Results
• Step 8: Continuously Improve
Problem statement
• A problem statement is a concise and concrete
summary of the issue you seek to address.
• Contextualize the problem. What do we
already know?
• Describe the exact issue
• What do we still need to know?
• Show the relevance of the problem. Why do
we need to know more about this?
• Set the objectives
• What will you do to find out more?
Cause/ Effect Analysis
You reap what you sow
• The things you do are like planted seeds, and
those seeds produce a crop which is the result
of your actions.
• The quote is an example of the cause and
effect relationship. Your action, sowing good
or bad seeds, produces a reaction, a healthy
or rotten harvest.
Cause/ Effect Analysis
• A cause is an action, and the effect is the
resulting reaction
• In the cause and effect relationship, one or
more things happen as a result of something
else.
• A cause is a catalyst, a motive, or an action
that brings about a reaction—or reactions. A
cause instigates an effect.
Cause/ Effect Analysis
• An effect is a condition, occurrence, or result
generated by one or more causes. Effects are
outcomes.
• A cause is why something happens. An effect
is what happened.
• You can’t have an effect without a cause, nor
can you have a cause without an effect
Cause/ Effect Analysis
• Cause and effect analysis, also called a “cause
and effect diagram,” is an assessment tool
that combines brainstorming and mind
mapping techniques to explore the possible
causes of an issue. It was developed by Kaoru
Ishikawa, a quality management pioneer in
the 1960s and originally used as a quality
control tool.

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problem identification.pptx

  • 1. Participatory study • Participatory study is more sustainable • It is more on issue focused • Active Involvement • Action oriented • Democratic decisions and results will be benefited to masses
  • 2. Problem identification problem analysis • Define the Problem. What is the problem? • Step 2: Clarify the Problem • Step 3: Define the Goals • Step 4: Identify Root Cause of the Problem • Step 5: Develop Action Plan • Step 6: Execute Action Plan • Step 7: Evaluate the Results • Step 8: Continuously Improve
  • 3. Problem statement • A problem statement is a concise and concrete summary of the issue you seek to address. • Contextualize the problem. What do we already know? • Describe the exact issue • What do we still need to know? • Show the relevance of the problem. Why do we need to know more about this?
  • 4. • Set the objectives • What will you do to find out more?
  • 5. Cause/ Effect Analysis You reap what you sow • The things you do are like planted seeds, and those seeds produce a crop which is the result of your actions. • The quote is an example of the cause and effect relationship. Your action, sowing good or bad seeds, produces a reaction, a healthy or rotten harvest.
  • 6. Cause/ Effect Analysis • A cause is an action, and the effect is the resulting reaction • In the cause and effect relationship, one or more things happen as a result of something else. • A cause is a catalyst, a motive, or an action that brings about a reaction—or reactions. A cause instigates an effect.
  • 7. Cause/ Effect Analysis • An effect is a condition, occurrence, or result generated by one or more causes. Effects are outcomes. • A cause is why something happens. An effect is what happened. • You can’t have an effect without a cause, nor can you have a cause without an effect
  • 8. Cause/ Effect Analysis • Cause and effect analysis, also called a “cause and effect diagram,” is an assessment tool that combines brainstorming and mind mapping techniques to explore the possible causes of an issue. It was developed by Kaoru Ishikawa, a quality management pioneer in the 1960s and originally used as a quality control tool.