Root Cause Analysis
Go beyond symptoms and understand what is truly driving performance, churn, and operational breakdowns.
We use structured analytics and investigation to isolate root causes so fixes are targeted, measurable, and sustainable.
Root Cause Analysis uncovers the underlying drivers behind operational and customer experience problems. We use data and diagnostic models so you can fix causes, not just symptoms, and implement solutions that stick.
What We Solve
Performance issues rarely stem from surface-level symptoms. Complaints, downtime, and missed targets are usually the visible tip of a deeper set of process, experience, and systems issues.
Our Root Cause Analysis framework uncovers those underlying drivers so you can stop firefighting and start fixing what actually matters. It combines data, structured techniques, and cross-functional input to turn scattered signals into a prioritized action plan. This work pairs well with Experience to Impact and our Experience to Impact approach. For proof in practice, see our Increasing Retention Through Driver Analysis case study.
Who It's For
Operations, CX, quality, and transformation leaders responsible for recurring issues, service reliability, or experience breakdowns—especially when multiple teams are involved and it is unclear where to act first.
What We Measure
We focus on the patterns and drivers that explain why issues happen, how often, and with what impact—so fixes can be prioritized and tracked.
Process Failures
Where workflows break down, where handoffs fail, and which steps drive rework, delay, or error rates.
Experience Breakdowns
Complaint drivers, churn signals, and journey friction points that damage satisfaction and loyalty.
System & Operational Drivers
Equipment failures, technology issues, staffing gaps, and policy constraints that contribute to incidents.
Impact on KPIs
Links between root causes and metrics like cost, downtime, churn, NPS, and resolution time.
Business Impact
Root Cause Analysis shifts teams from reacting to incidents toward preventing them. It gives leaders a shared, data-backed view of what is driving issues and which fixes will move the metrics that matter.
Strategy
Clarifies which systemic issues limit performance so investment and improvement efforts can be focused where they have the greatest impact.
Operations
Reduces rework, downtime, and failure rates by addressing the true drivers of inefficiency and service breakdowns.
Customer & Employee Experience
Improves journeys and frontline conditions by fixing root issues that generate complaints, friction, or burnout.
Financials
Connects issues and fixes to costs, revenue at risk, and productivity, supporting ROI cases for continuous improvement.
Execution Framework
We combine structured problem definition, data gathering, and analysis techniques into a repeatable framework your teams can use beyond a single project.
Data Sources
- Operational logs and incident reports
- Customer complaints and feedback
- System performance and uptime data
- Employee input and process observations
- Service metrics and business KPIs
Analysis Techniques
- Fishbone and causal mapping
- 5 Whys and structured questioning
- Pareto and driver analysis
- Process audits and journey reviews
- Diagnostic modeling where data supports it
Stakeholders
- Operations and service owners
- CX and quality teams
- IT and systems support
- Frontline teams and supervisors
- Executive sponsors for major issues
Deliverables
- Root cause maps and diagrams
- Prioritized corrective action plans
- Executive summaries with impact estimates
- Dashboards for ongoing monitoring
How It Works
Our Root Cause Analysis follows five phases, from defining the problem through to implementing and tracking corrective actions.
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Define the problem
Work with your team to clarify symptoms, scope, business impact, and success criteria so everyone is aligned on what needs to change.
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Gather process & performance data
Collect quantitative and qualitative data from systems, teams, and customers to build a complete picture of how the issue shows up.
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Conduct root cause analysis
Apply techniques like 5 Whys, fishbone diagrams, Pareto analysis, and modeling to isolate the most important contributing causes.
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Validate & prioritize findings
Test assumptions with stakeholders, confirm root causes, and prioritize them based on risk, feasibility, and impact on KPIs.
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Recommend corrective action
Translate findings into actionable fixes, ownership, and metrics so teams can implement changes and track results over time.
Why It Matters
Key insights from Root Cause Analysis: targeting real drivers improves outcomes.
Frequently Asked Questions
What is root cause analysis?
Root cause analysis (RCA) is a structured approach to finding the underlying drivers of problems—rather than symptoms. We use data and diagnostic models to identify process, experience, or cross-functional causes so you can fix what actually matters.
When should you use RCA?
Use RCA when you face recurring issues—complaints, churn, downtime, inefficiency—and need to target the real drivers. It's also used for post-incident review and continuous improvement programs.
What methods do you use?
We combine quantitative analysis (e.g. driver models, correlation) with qualitative review (interviews, process mapping). The approach is tailored to your data and the type of problem—operational, customer, or cross-functional.
Who uses Root Cause Analysis?
Operations, CX, and quality leaders who need to diagnose recurring problems. Typical use cases include post-incident review, continuous improvement, and experience breakdown diagnosis. We tailor the framework to your data and timelines.