Operational KPIs and Process Improvement Training Course

Participants can specify reliable operational KPIs with consistent definitions, targets and ownership.

• SMART metric specifications define purpose, formula, unit, source and owner
• Numerator and denominator rules prevent inconsistent rate and ratio reporting
• Operational definitions distinguish valid events, exclusions, timing and population boundaries
• Target setting combines customer requirements, baseline performance and process capability
• Thresholds, tolerances and trigger points establish practical management responses
• Data collection plans assign frequency, validation checks and record retention
• Metric dictionaries document calculation logic for repeatable reporting and auditability

Participants can assess operational data quality and conduct focused KPI review conversations.

• Data quality dimensions assess accuracy, completeness, timeliness, consistency and uniqueness
• Run charts reveal shifts, trends, cycles and unusual operational patterns
• Dashboards prioritise exceptions, trends, targets and drill-down diagnostic measures
• Visual management boards show daily priorities, constraints, actions and ownership
• Performance review agendas separate reporting, diagnosis, decisions and follow-up
• Red-amber-green status rules avoid subjective escalation and unmanaged exceptions
• Action logs capture countermeasures, deadlines, evidence and effectiveness checks

Participants can map an operational process and identify requirements affecting quality, speed and cost.

• SIPOC defines suppliers, inputs, process boundaries, outputs and customer groups
• Swimlane maps expose handoffs, approvals, queues and unclear responsibility
• Process steps classified as value-adding, necessary non-value-adding or waste
• Customer journey requirements translated into measurable process critical-to-quality characteristics
• Service blueprints connect customer touchpoints with visible and backstage activities
• Failure points identified at interfaces between teams, systems and external partners
• Current-state maps establish scope before measurement and improvement decisions

Participants can quantify flow losses and identify productivity constraints within an end-to-end process.

• Value stream maps measure cycle time, waiting time, inventory and information flow
• Takt time compares customer demand with available production or service capacity
• Little’s Law relates work-in-progress, throughput and average flow time
• Capacity analysis distinguishes resource utilisation from effective process throughput
• Bottleneck identification examines constrained resources, queues and downstream starvation
• Spaghetti diagrams reveal unnecessary movement, transport and workplace layout losses
• Future-state design prioritises flow, pull signals and simplified handoffs

Participants can investigate recurring operational problems and define evidence-based corrective actions.

• Pareto charts rank defect categories, delay causes and customer complaint themes
• Stratification separates performance data by product, channel, shift and location
• Five Whys traces symptoms toward controllable process and system causes
• Fishbone diagrams organise potential causes across people, methods, machines and materials
• Cause-and-effect matrices rank factors against critical customer and process requirements
• Verification plans test suspected causes using observations, records and comparative data
• Corrective actions distinguish containment, correction, prevention and systemic control

Participants can select Lean countermeasures that improve flow, reduce waste and stabilise execution.

• Eight wastes identified through defects, waiting, motion, overprocessing and inventory
• 5S controls organise work areas through sorting, setting, shining, standardising and sustaining
• Standard work defines sequence, timing, expected output and escalation conditions
• Kanban signals control replenishment and limit work-in-progress between process steps
• Poka-yoke methods prevent errors through prompts, constraints and automatic checks
• SMED principles reduce changeover losses through internal and external task separation
• Daily management connects tiered huddles, visual boards and rapid problem escalation

Participants can distinguish common-cause variation from special-cause variation using control charts.

• Common-cause and special-cause variation guide different management responses
• Histograms display process distribution, spread, skewness and potential specification failures
• Control charts distinguish natural variation from statistically unusual process signals
• Individuals charts monitor continuous measures with single observations per period
• p-charts track defect proportions when sample sizes vary between periods
• Process capability compares stable process variation against specification limits
• Control limits distinguished from customer targets and specification boundaries

Participants can frame and manage a measurable process improvement project using DMAIC.

• DMAIC stages organise improvement work from problem definition through sustained control
• Project charters specify problem statement, scope, goal, sponsors and team roles
• Baseline measures establish current performance before countermeasures are introduced
• Benefit cases quantify cost, capacity, quality, risk and customer service effects
• Prioritisation matrices compare impact, effort, risk, urgency and implementation feasibility
• Pilot plans define test conditions, success measures, duration and decision criteria
• Stakeholder analysis anticipates resistance, communication needs and adoption responsibilities

Participants can create a control plan and application plan that sustain measurable process gains.

• Control plans specify monitored characteristics, methods, frequency, owners and reactions
• Standard operating procedures embed revised steps, controls and escalation points
• Training matrices identify role-specific competence requirements after process changes
• Audit checklists verify adherence to standards and effectiveness of controls
• KPI review routines connect performance signals with corrective action governance
• Benefits tracking compares realised results against approved improvement assumptions
• Ninety-day application plans sequence actions, sponsors, milestones and review dates