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Root Cause Analysis
Root Cause Analysis
Our diagnostic process identifies the true drivers behind:
Operational inefficiencies
Quality issues and defects
Cost overruns
Process delays or bottlenecks
Customer or employee dissatisfaction
Our Approach
Step 1: Data Gathering
Quantitative (process data, performance KPIs) and qualitative (interviews, observations) inputs from operations.
Step 2: Pattern & Trend Analysis
Using tools like Pareto Analysis, 5 Whys, Fishbone Diagrams, and Failure Mode Effect Analysis (FMEA) to identify recurring causes.
Step 3: Root Cause Identification
We distinguish between visible symptoms and hidden drivers, separating noise from actionable insight.
Step 4: Diagnostic Reporting
Root causes, Operational and financial impact, quick wins and long-term recommendations
Out Comes You Can Expect
Out Comes You Can Expect
Elimination of recurring issues
Reduced rework, downtime, waste and cost
Higher operational efficiency
Improved team alignment and SOP compliance
Stronger foundation for solution design and change implementation
Case Examples
Manufacturing SME: Reduced scrap by 90% by identifying incorrect EDM settings
Hospitality Group: Diagnosed 6% lower occupancy at specific branches due to centralized pricing and poor booking practices
Retail Chain: Identified 13 dead product lines with zero sales over 4.5 years, driving ₹14M in annual waste
Tools and Techniques We Use
Tools and Techniques We Use
Gemba Walks
Process Mapping & Time-Motion Studies
Field Interviews & Staff Behavior Mapping
VOC
Data Analysis (Python & SQL)
5 Whys
Cause and Effect Analysis (Ishikawa Diagrams)
Statistical Process Control (SPC)
Baseline Performance Audits
Ready to Diagnose the Right Problem?
Ready to Diagnose the Right Problem?
We don’t bring assumptions—we bring clarity.
Let’s identify the problem worth solving, and design everything else around it.
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