How to Identify Root Causes of Elevated Control Failure Rates
SAYPRO Operational Excellence Guide
Elevated control failure rates can compromise the integrity of business processes, regulatory compliance, and customer trust. At SAYPRO, understanding why controls fail is essential to strengthening our systems and preventing future issues. Here’s how to systematically identify root causes of control failures:
1. Define the Scope and Context
Start by clearly identifying:
- Which controls are failing (e.g., system controls, manual reviews, automated validations)
- Where and when failures are occurring
- How often failures happen (frequency, trends over time)
- The impact of these failures (financial, reputational, operational)
2. Collect and Analyze Control Performance Data
Gather relevant data:
- Failure logs and reports
- Audit findings
- Exception reports
- User feedback or escalation records
Analyze the data for:
- Patterns (e.g., time of day, specific teams, certain transactions)
- Recurrence
- Outliers or anomalies
3. Conduct Root Cause Analysis (RCA)
Use structured techniques to dig deeper:
a. 5 Whys Technique
Ask “why” repeatedly until the root cause is uncovered.
Example:
Control failed due to incorrect data → Why? → Data entry was wrong → Why? → Staff was unclear on process → Why? → Training not conducted → Root cause: lack of training
b. Fishbone Diagram (Ishikawa)
Map potential causes across key categories:
- People (training, workload, engagement)
- Processes (gaps, complexity, ambiguity)
- Technology (system errors, integration issues)
- Policies (unclear rules, outdated documentation)
- Environment (stress, time pressure)
c. Pareto Analysis (80/20 Rule)
Focus efforts on the small number of causes that account for the majority of failures.
4. Engage Stakeholders
Collaborate with:
- Control owners
- Frontline staff
- Internal audit
- Risk management
They often provide context and insights not captured in the data.
5. Validate Findings
Before acting, validate the root causes through:
- Process walk-throughs
- Peer reviews
- Pilot fixes to test hypotheses
6. Develop and Implement Corrective Actions
Once the root causes are confirmed:
- Revise or redesign control processes
- Update training or documentation
- Improve system configurations
- Introduce real-time monitoring where needed
7. Monitor Post-Implementation
Track the effectiveness of changes:
- Has the failure rate decreased?
- Are new issues emerging?
- Are controls sustainable under business pressure?
Conclusion
At SAYPRO, root cause analysis isn’t about assigning blame—it’s about continuous improvement. By systematically identifying and addressing the underlying causes of control failures, we strengthen our operations, reduce risk, and deliver greater value to our stakeholders.