September 11, 2025
In the world of business intelligence and operational excellence, two tools frequently come up — Root Cause Analysis (RCA) and Gap Analysis. While both are used to improve processes, solve problems, and drive operational excellence, they focus on different aspects of analysis. RCA dives deep to uncover why a problem happened, while Gap Analysis focuses on what is missing between your current performance and the desired target.
Although they are different in approach, these tools often complement each other. Gap Analysis may point to the need for an RCA, and RCA findings can reveal multiple gaps that need closing. Understanding their differences, similarities — and knowing when to use each alone and together — is key for shop floor and managers who want to improve processes efficiently.
Root Cause Analysis is a problem-solving method that investigates the starting point or the true root of an issue. Instead of just fixing surface symptoms, RCA goes into depth, analysing every factor that could influence the problem.
Find out the definition of gap analysis here
Gap Analysis is a method to identify the difference between current state and desired state. It focuses on the what factor — what’s missing, what’s underperforming, and what must be done to close the gap in real time.
In short
Although gap analysis and root cause analysis are both used in problem-solving and process improvement, their scope, depth, and time frame are very different. Gap analysis primarily looks at the "what" — identifying the shortfall between the current and desired state — while RCA looks at the "why", digging deep into the fundamental cause of a problem.
Below is a detailed comparison,
Gap analysis:
Concentrates on what is missing in performance, resources, or processes to achieve a goal. It identifies immediate gaps that need bridging.
Root cause analysis:
Focuses on why the gap or problem exists by finding the underlying cause and preventing recurrence.
Example:
If a factory’s on-time delivery rate dropped from 96% to 85%, gap analysis will highlight that the target is missed by 11%, while RCA will investigate why — perhaps a machine breakdown or a supplier delay.
Gap analysis:
Root cause analysis:
Gap analysis output:
Root cause analysis output:
Gap analysis approach:
Root cause analysis approach:
Explore more about the gap analysis tools and process here.
Gap analysis:
Root cause analysis:
Gap analysis:
Root cause analysis:
Gap analysis example:
A manufacturing unit finds that defect-free production rate is at 90% while the goal is 98%. The analysis with template shows the gap is due to a lack of operator training and outdated inspection tools.
Root cause analysis example:
RCA digs further to find why operators lack training — perhaps because the training budget was cut due to poor cost forecasting, which itself may be linked to incomplete demand data.
Gap analysis tools:
Root cause analysis tools:
Use RCA when:
Use Gap Analysis when:
➜ Goal alignment: Both aim to improve business performance and achieve operational excellence.
➜ Data-driven: Require collecting and analysing accurate operational data.
➜ Support continuous improvement: Can be integrated into PDCA cycles, Lean Manufacturing, or Six Sigma.
➜ Stakeholder involvement: Both involve cross-functional teams for effective execution.
➜ Scalability: Can be applied in manufacturing, service industries, healthcare, and more.
Combining RCA and Gap Analysis ensures both detection and prevention. When used together, they create a powerful, end-to-end problem-solving and improvement framework. Gap Analysis identifies the “what” — the difference between the current state and the desired state — highlighting where performance, quality, or efficiency is falling short. RCA then digs deeper into the “why” behind those gaps, uncovering the underlying causes that led to the shortfall. By combining both approaches, businesses can not only pinpoint immediate issues but also prevent their recurrence through targeted, long-term solutions.
When gap analysis and root cause analysis (RCA) work together, they deliver a complete problem-solving approach. With Data Point balanced scorecard, teams can track KPIs in real time, visualise trends, and link issues to their root causes. This combination speeds up gap closure, prevents recurrence, drives process optimisation, and strengthens operational excellence.
This integration ensures that improvement initiatives address both surface-level symptoms and deeper systemic problems, leading to better decision-making, sustainable process optimisation, and stronger operational excellence.
Both Root Cause Analysis and Gap Analysis are essential for achieving operational excellence in manufacturing and beyond.
Used separately, each has unique strengths. Used together, they provide a continuous improvement framework for diagnosing problems, addressing them, and ensuring operational excellence. For manufacturing leaders, pairing RCA with gap analysis means moving from reactive fixes to proactive, strategic improvements that boost productivity, quality, and efficiency.
1. What are the different types of Gap analysis?
Common types include performance gap, skills gap, product/service gap, compliance gap, market gap, and process gap analysis.
2. What are the main differences between Root cause analysis (RCA) vs Gap analysis?
Gap Analysis focuses on what is missing; RCA focuses on why the problem exists.
3. How does Data Point Balanced Scorecard help in Root cause analysis and Gap analysis?
Data Point provides real-time KPI tracking, visual dashboards, and drill-down analytics to identify gaps and trace root causes quickly for faster decision-making.
4. What is the two gap model?
It’s a framework showing two key gaps: the gap between current and desired performance, and the gap between strategy and execution.
5. What are the 5P’s of Root cause analysis?
People, Processes, Policies, Plant (equipment), and Programmes.
6. When should Root cause analysis be performed?
Whenever recurring problems, quality issues, safety incidents, or process failures occur that need permanent solutions.
7. Who should be included in Gap analysis?
Stakeholders from leadership, process owners, frontline employees, and data analysts.
8. What are the 5 steps of Root cause analysis and how is it different from Gap analysis?
Steps: Define the problem → Collect data → Identify possible causes → Find root cause → Implement solutions.
Difference: Gap analysis finds performance gaps; RCA finds underlying reasons.
9. What is the difference between Causal analysis and Root cause analysis?
Causal analysis lists all possible causes; RCA pinpoints the primary cause.
10. Can you give an example of RCA and Gap analysis?
RCA: Investigating why a machine overheats repeatedly.
Gap analysis: Comparing current production rate to the target rate.