How to do root cause analysis?

Root cause analysis is a crucial method for identifying the underlying causes of business problems or inefficiencies. By systematically investigating and addressing these root causes, companies can prevent recurring issues, streamline processes, and enhance overall operational quality. This proactive approach not only resolves immediate concerns but also leads to more efficient operations and improved business outcomes in the long run.

Tips to do root cause analysis

Here are some tips to consider when you’re trying to do root cause analysis:

1. Use the 5 Whys Technique: Ask "why" multiple times to drill down to the root cause of a problem.

2. Gather Data: Collect data and evidence to support your analysis and validate findings.

Use Narrative BI to do root cause analysis

Narrative BI is a generative analytics platform that automatically turns your data into actionable data narratives. To do root cause analysis with Narrative BI, follow the steps below:

  • Connect your data source directly to Narrative BI or upload a spreadsheet to the AI Data Analyst tool.
  • Explore the feed of automatically generated insights.
  • Ask questions to uncover strategies and actions to do root cause analysis.
  • Get AI-generated answers, automated reports, and insights.
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Suggested questions to ask AI Data Analyst to do root cause analysis

AI Data Analyst from Narrative BI is an advanced Generative Business Intelligence tool that leverages AI to provide actionable insights from your data. It allows you to upload spreadsheets or directly connect various data sources, ask questions using natural language queries, and get actionable answers. You can use the following AI Data Analyst prompts to do root cause analysis:

What are the main reasons behind the recent decline in sales?

Which processes are causing the most delays in production?

What factors are contributing to high employee turnover rates?

How do customer complaints correlate with specific product issues?

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