Root Cause Analysis with Write-BackWhat is Root Cause Analysis?
Root Cause Analysis (RCA) is a method of identifying the underlying, primary causes of an incident or outlier so that the best solutions can be implemented. This method can also be followed when things are going well. Root Cause Analysis comprises three goals:
-
- Work out why the problem happened in the first place, using a specific set of steps and tools.
- Fully understand how to fix or learn from the underlying issues within the root cause.
- Apply what we learned from the analysis to the future. What happened? Why did it happen? What will be done to prevent it from happening (or to make it happen) again?
Challenges
While Tableau can really help to identify outliers when doing an RCA, some causes might be external and no relevant data might be available or there may simply be the need for more qualitative analysis.
How can Write-Back help you
By leveraging Write-Back, users can provide their input and put any outliers into context; for instance, by identifying potential events causing an impact or simply providing an explanation and category. With Write-Back, creators can freely configure multiple fields presented and capture user feedback in a structured process. These inputs can then be easily integrated into visualizations allowing users to remain in their flow of analysis even when providing feedback.
This way, Write-Back becomes a fundamentally helpful tool to use when following a RCA approach with Tableau.
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Churn Risk ManagementUse Cases / Root Cause Analysis
Root Cause Analysis with Write-Back
What is Root Cause Analysis?
Root Cause Analysis (RCA) is a method of identifying the underlying, primary causes of an incident or outlier so that the best solutions can be implemented. This method can also be followed when things are going well. Root Cause Analysis comprises three goals:
-
- Work out why the problem happened in the first place, using a specific set of steps and tools.
- Fully understand how to fix or learn from the underlying issues within the root cause.
- Apply what we learned from the analysis to the future. What happened? Why did it happen? What will be done to prevent it from happening (or to make it happen) again?
Challenges
While Tableau can really help to identify outliers when doing an RCA, some causes might be external and no relevant data might be available or there may simply be the need for more qualitative analysis.
How can Write-Back help you
By leveraging Write-Back, users can provide their input and put any outliers into context; for instance, by identifying potential events causing an impact or simply providing an explanation and category. With Write-Back, creators can freely configure multiple fields presented and capture user feedback in a structured process. These inputs can then be easily integrated into visualizations allowing users to remain in their flow of analysis even when providing feedback.
This way, Write-Back becomes a fundamentally helpful tool to use when following a RCA approach with Tableau.
