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how to use coda ai for root cause reasoning
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how to use coda ai for root cause reasoning

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@JanhV
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Root cause reasoning is a method of problem-solving that aims to identify the underlying cause or causes of a problem, rather than just treating the symptoms. It involves analyzing the various factors that contribute to a problem and determining the most fundamental cause, in order to develop effective solutions and prevent the problem from recurring.
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Steps to use Coda AI for root cause reasoning

Define the problem or issue you want to analyze.
Collect relevant data and input it into Coda AI.
Use Coda AI to identify potential root causes and analyze their impact on the problem.
Evaluate the likelihood and severity of each potential root cause.
Develop and implement a plan to address the most likely and impactful root causes.
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Root Cause Reasoning Example
**Problem**
**Root Cause**
1
Website crashes frequently
Insufficient server capacity
2
High error rate in production
Inadequate testing procedures
3
Low productivity in team
Lack of clear goals and expectations
4
Customer complaints about product quality
Poor quality control measures
There are no rows in this table
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Root cause reasoning of suicide
Root Causes
1
Mental health disorders
2
Substance abuse
3
Traumatic life events
4
Financial hardship
5
Relationship issues
6
Social isolation
7
Stigmatization of seeking help
8
Access to lethal means
9
Lack of support systems
10
Cultural and religious beliefs
There are no rows in this table
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Root Cause Reasoning of Stress
Root Causes
Description
1
Work-related
Workload, lack of support, unclear expectations, job insecurity
2
Personal
Financial problems, relationship issues, health problems, personal goals and expectations
3
Environmental
Noise, traffic, pollution, living conditions
4
Social
Social isolation, discrimination, harassment, bullying
There are no rows in this table
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Identifying the root cause of stress can help in developing effective coping strategies and prevent future stressors.

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