Page 4 of 7
• Jumping to Conclusions (or Solutions) – There’s a natural tendency to want to “solve” the problem quickly, which can lead to rushing through cause analysis before fully understanding the issue. A thorough analysis prevents treating symptoms instead of root causes. • Over-Attributing Problems to Human Actions – It’s easy to default to the belief that people are the primary cause of most problems , rather than the systems they operate within. However, most human errors are symptoms of deeper systemic weaknesses By using conditional logic, structured cause patterns, testing assumptions, and leveraging AI for validation, a solo investigator can ensure a thorough, well-reasoned analysis—without the need for a team to challenge their thinking. Step 4 - Generating Solutions A strong RCA doesn’t just explain what happened—it drives meaningful change to reduce the likelihood of recurrence. However, solution generation is often where RCAs fall short, especially when working alone. Without a team, it’s easy to default to the quickest or most convenient fixes. But real improvement doesn’t come from making people work harder—it comes from making the system work better. Focus on Altering Context, Not Just Reacting to Failure When generating solutions, ask: • Does this solution alter the conditions that allowed the failure to happen? If not, it may not be enough. • Would this solution have prevented the problem entirely, or just helped someone react to it faster? • Is this sustainable? Solutions should be embedded in how work naturally happens—not just tacked on as an extra rule or expectation. Avoid the trap of going for what’s easy, cheap, or fast. Senior leaders may favor quick solutions, but a solo investigator must think beyond that. A checklist might remind operators to double-check a setting, but a design change could eliminate the need for the check altogether.
Applying Conditional Logic to Solutions
Just as failures often have combinations of causes, the best solutions often involve multiple reinforcing improvements. Instead of searching for one perfect solution , consider solutions that: • Eliminate the cause – Can the failure mechanism be removed entirely? • Reduce the probability – Can safeguards or redundancies make recurrence less likely? • Reduce the impact – If failure does happen, can we limit the consequences? • Increase detectability – Can early warning systems help prevent escalation? • Improve system resilience – Can the system recover quickly instead of failing catastrophically? Leveraging AI to Strengthen Solutions
© 2025 Sologic, LLC – All Rights Reserved
www.sologic.com
Made with FlippingBook - professional solution for displaying marketing and sales documents online