Root Cause Analysis and Problem Solving Training Course

Participants can write bounded, measurable problem statements that guide investigation.

• Operational definitions remove ambiguity from defects, delays and service failures
• SMART problem statements specify gap, location, timing, impact and population
• Is and Is Not analysis establishes investigation boundaries
• Baseline measures distinguish normal variation from material performance deterioration
• Problem statements avoid premature causes, solutions, blame and unsupported claims
• Stakeholder requirements translate customer effects into measurable investigation criteria

Participants can map an end-to-end process and locate potential failure points.

• SIPOC diagram identifies suppliers, inputs, process, outputs and customers
• Swimlane maps expose handovers, approvals, queues and unclear responsibilities
• Value stream steps distinguish processing time, waiting time and rework
• Decision points reveal inconsistent rules, exceptions and escalation gaps
• Process walk observations compare documented procedures with actual work
• Failure points recorded against process steps, controls and responsible roles

Participants can plan evidence collection that supports reliable causal conclusions.

• Evidence plans connect hypotheses, data sources, owners and collection dates
• Data stratification separates results by shift, product, location and customer
• Check sheets capture defects consistently at the point of occurrence
• Sampling plans balance confidence, effort, access and operational disruption
• Data validity tested for definitions, completeness, timing and recording bias
• Interviews use open questions without introducing assumptions or blame

Participants can identify meaningful patterns before proposing possible causes.

• Run charts show shifts, trends, cycles and unusual process behaviour
• Histograms reveal distribution shape, spread, clustering and outlying observations
• Pareto charts rank defect categories by frequency, cost or customer impact
• Cross-tabulation compares performance between categories, periods and operating conditions
• Scatter plots test possible relationships without claiming causation prematurely
• Stratified data exposes patterns hidden within overall performance averages

Participants can generate and organise plausible causes using structured team analysis.

• Ishikawa diagrams organise causes under people, methods, machines and materials
• Measurement and environment categories capture overlooked sources of variation
• Cause statements describe observable conditions rather than opinions or labels
• Affinity grouping consolidates duplicated ideas and clarifies cause relationships
• Brainstorming rules separate idea generation from evaluation and decision-making
• Cause-and-effect chains connect process conditions to observed problem outcomes

Participants can use 5 Whys to develop testable causal chains.

• 5 Whys questions follow evidence rather than predetermined explanations
• Each why statement links a condition to a documented observed effect
• Branching causal chains prevent oversimplification of complex operational problems
• Stopping rules distinguish root causes from unverified explanatory statements
• Countermeasures tested against every link in the causal chain
• Causal logic records assumptions, evidence gaps and required validation

Participants can examine complex failures through logical event relationships and failed controls.

• Fault trees start with a defined top event
• AND and OR gates represent combined and alternative failure paths
• Existing barriers assessed for presence, performance, detection and response
• Basic events traced to equipment, procedures, people and external conditions
• Minimal cut sets identify combinations producing the top event
• Barrier failures translated into inspection, maintenance, training or design actions

Participants can test whether suspected causes materially explain the problem.

• Cause validation criteria assess timing, mechanism, evidence and repeatability
• Before-and-after comparisons test effects of controlled process changes
• Verification samples confirm whether suspected conditions are actually present
• Correlation distinguished from causation through alternative explanation testing
• Contradictory evidence documented rather than removed from the investigation
• Confidence ratings communicate evidence strength and remaining uncertainty

Participants can select causes for action based on impact, likelihood and controllability.

• Pareto prioritisation focuses effort on dominant defect and loss categories
• FMEA scores severity, occurrence and detection for identified failure modes
• Risk priority rankings guide attention without replacing professional judgement
• Control gaps assessed against consequence, exposure and detection capability
• Impact-effort matrices sequence actions by benefit, feasibility and urgency
• Decision criteria documented to explain why lower-ranked causes remain monitored

Participants can design corrective actions that address validated causes rather than symptoms.

• Corrective actions remove, reduce or control validated causal conditions
• Action options compare effectiveness, cost, safety, timing and ownership
• Hierarchy of controls prioritises elimination, substitution, engineering and administration
• Temporary containment protects customers while permanent actions are developed
• Action statements specify deliverable, owner, deadline, resources and acceptance criteria
• Dependencies and implementation risks recorded before action approval

Participants can prevent recurrence by embedding controls in normal operating routines.

• Preventive actions identify similar processes, products and service conditions
• Standard work documents critical steps, checks, timing and escalation requirements
• Visual controls make status, limits, abnormalities and responsibilities visible
• Training plans specify affected roles, competence checks and refresher triggers
• Change control updates procedures, forms, systems and operating instructions
• Lessons learned records transferable causes, controls and warning indicators

Participants can document an investigation and action plan in a concise A3 format.

• A3 sections connect background, current condition, target and analysis
• Current-condition visuals present baseline data without excessive narrative detail
• Target conditions define measurable performance, timing and scope boundaries
• Root-cause evidence summarised through charts, maps and causal logic
• Countermeasure plans show actions, owners, milestones and expected effects
• Follow-up sections record verification results, standards and unresolved issues

Participants can apply the 8D structure to urgent cross-functional customer or quality issues.

• D1 team formation assigns technical, operational and customer-facing expertise
• D2 problem description captures who, what, where, when and extent
• D3 containment actions protect customers before root-cause confirmation
• D4 root-cause analysis verifies escape points and occurrence mechanisms
• D5 permanent corrective actions receive risk review and approval
• D6 effectiveness verification confirms actions work under normal operating conditions
• D7 recurrence prevention updates systems, standards and similar operations
• D8 recognition records contributions, learning and closure responsibilities

Participants can position root cause work within a DMAIC improvement project.

• Define phase establishes customer need, scope, charter and problem statement
• Measure phase confirms baseline performance and measurement-system suitability
• Analyse phase tests process drivers, causes and variation patterns
• Improve phase pilots solutions before wider process implementation
• Control phase sustains gains through measures, response plans and ownership
• DMAIC tollgates provide governance for evidence, decisions and resource commitments

Participants can create control plans that maintain results after corrective action.

• Control plans specify critical measures, limits, frequency and data sources
• Response plans define immediate actions when performance crosses control limits
• Process owners receive clear accountability for monitoring and escalation
• Layered process audits check adherence to critical controls and standards
• Review cadence evaluates action effectiveness, drift and emerging risks
• Closure criteria require sustained results and completed documentation updates

Participants can lead disciplined team discussions that produce evidence-based decisions.

• Team charters establish purpose, roles, decision rights and meeting rhythm
• Facilitator questions challenge assumptions while maintaining psychological safety
• Divergent and convergent thinking separated during cause and action discussions
• Conflict handled through evidence review, criteria and documented decision rules
• Meeting boards track hypotheses, evidence, actions, risks and unresolved questions
• Escalation packs present decisions required, consequences and recommended options

Participants can present problem-solving findings clearly to sponsors, teams and affected stakeholders.

• Executive summaries state problem impact, validated causes and recommended actions
• Evidence visuals match audience needs without overstating confidence or certainty
• Management presentations distinguish immediate containment from permanent prevention
• Benefits estimates identify avoided losses, capacity gains and customer effects
• Stakeholder maps identify affected groups, concerns and communication actions
• Approval requests specify decisions, resources, risks and implementation dates

Participants can build, review and present a complete evidence-based root cause analysis and corrective-action pack.

• Problem charter defines measurable gap, scope, business impact and stakeholders
• Process map and evidence plan identify failure points and data needs
• Cause analysis combines validated 5 Whys, Ishikawa and prioritisation evidence
• Corrective-action plan assigns containment, permanent actions, owners and milestones
• Control plan specifies monitoring measures, response rules and review cadence
• Peer review tests causal logic, action adequacy and implementation feasibility
• Final presentation communicates findings, decisions required and expected outcomes