Innovation and Process Improvement Training Course

Participants can convert customer evidence into measurable requirements for process and service design.

• Voice of the Customer sources: complaints, interviews, surveys and observation
• Kano model distinguishes basic, performance and attractive service requirements
• Customer journey maps expose friction, uncertainty, waiting and repeated contact
• Translating needs into measurable service specifications and acceptance criteria
• Quality function deployment links customer priorities with process design choices
• Segmentation separates materially different customer needs, volumes and service paths

Participants can define process boundaries, suppliers, inputs, outputs and customers before detailed analysis.

• Process architecture distinguishes value streams, core processes and supporting processes
• SIPOC diagrams establish suppliers, inputs, process boundaries, outputs and customers
• Start and end points prevent scope drift during improvement projects
• Interfaces reveal dependencies between functions, systems, vendors and control owners
• Process ownership assigned through accountable roles and decision rights
• High-level process measures distinguish effectiveness, efficiency, quality and compliance

Participants can create current-state maps that expose work flow, decisions, delays and rework.

• Swimlane maps show activities, hand-offs, decisions, roles and system interactions
• BPMN symbols distinguish events, tasks, gateways, messages and subprocesses
• Gemba observation records actual work rather than documented procedures
• Process walk-throughs identify informal workarounds, queues and duplicate entry
• Cycle time, wait time and touch time measured consistently
• Rework loops and exception paths quantified within the current-state map

Participants can establish reliable measures and a data collection plan for process improvement.

• Operational definitions specify exactly how each performance measure is calculated
• Data collection plans identify source, owner, frequency, sample and verification
• Leading and lagging indicators linked through a practical measurement tree
• Run charts reveal shifts, trends, cycles and unusual process variation
• Stratification separates results by channel, product, team, customer and location
• Data-quality checks test completeness, accuracy, timeliness and consistent coding

Participants can identify non-value-adding work and improve flow through a process.

• TIMWOODS categories identify transport, inventory, motion, waiting and defects
• Value-added analysis separates customer value, business necessity and waste
• Little's Law connects work-in-progress, throughput and lead time
• Bottleneck analysis compares demand, capacity, utilisation and queue formation
• Takt time translates customer demand into required production or service pace
• Spaghetti diagrams expose excessive movement, travel and physical layout constraints

Participants can distinguish symptoms from validated causes and select appropriate corrective actions.

• Problem statements describe deviation, location, timing, scale and customer effect
• Five Whys traces causal chains beyond immediate operational symptoms
• Fishbone diagrams organise potential causes under people, process, technology and policy
• Cause-and-effect matrices prioritise inputs with strongest effects on outcomes
• Is-is not analysis sharpens the boundaries of a recurring problem
• Evidence tests confirm causes before teams commit resources to corrective actions

Participants can select improvement actions using benefit, effort, risk and implementation criteria.

• Pareto charts focus attention on the few causes driving most losses
• Impact-effort matrices compare candidate actions before detailed project planning
• Cost of poor quality includes failures, rework, concessions and customer recovery
• Benefit hypotheses state expected gains, assumptions, owners and measurement methods
• RACI matrices clarify decision authority, delivery responsibilities and consultation requirements
• Stage-gate reviews test readiness before funding, piloting or scaling changes

Participants can generate, screen and develop practical innovation concepts for operational challenges.

• Design thinking frames operational problems through user needs and observed behaviour
• How Might We questions convert constraints into focused innovation prompts
• Brainwriting produces diverse ideas before group discussion influences contributions
• SCAMPER challenges existing services, policies, workflows and customer interactions
• Idea screening scores desirability, feasibility, viability, risk and strategic fit
• Concept sheets document target users, value proposition, assumptions and test criteria

Participants can redesign a process to improve flow, quality, control and customer value.

• Future-state maps remove non-value-adding steps and simplify decision paths
• Pull systems trigger work from demand rather than forecasts or batch schedules
• Standard work defines sequence, timing, quality checks and expected outputs
• Workload balancing redistributes tasks to reduce bottlenecks and unevenness
• Service blueprints align front-stage interactions with supporting operational activities
• Business rules reduce discretionary decisions and inconsistent process execution

Participants can build preventive controls that reduce defects before they reach customers.

• Poka-yoke methods prevent errors, detect deviations and prompt immediate correction
• Checklists support reliable execution of high-risk, infrequent or complex tasks
• First-time-right measures reveal quality losses hidden within output volumes
• Control points placed where defects can be prevented or contained earliest
• Visual management makes status, standards, abnormalities and priorities visible
• Acceptance criteria define conditions for complete, accurate and compliant outputs

Participants can assess process failure risks and prioritise preventive control actions.

• Failure Mode and Effects Analysis identifies failure modes and consequences
• Severity ratings assess customer, regulatory, safety and financial impact
• Occurrence ratings estimate likelihood using evidence, history and process conditions
• Detection ratings evaluate whether existing controls identify failures in time
• Risk priority scoring ranks preventive actions and accountable control owners
• Residual-risk reviews confirm control effectiveness after improvement implementation

Participants can test process changes on an appropriate scale before wider implementation.

• PDCA cycles structure planning, testing, review and standardisation of changes
• Pilot charters define target population, duration, measures, controls and exit criteria
• Hypothesis statements connect proposed changes with expected measurable outcomes
• A/B comparisons distinguish intervention effects from normal process variation
• Pilot feedback captures employee usability, customer response and unforeseen consequences
• Decision criteria determine whether to adopt, adapt, extend or stop changes

Participants can plan implementation activities that secure adoption and protect service performance.

• Stakeholder analysis identifies influence, impact, concerns and engagement actions
• Change-impact assessments compare current roles, systems, controls and behaviours
• Implementation roadmaps sequence pilots, dependencies, communications and readiness activities
• Training needs analysis defines affected groups, competencies and support materials
• Resistance diagnostics distinguish capability gaps, incentives, workload and trust issues
• Issue logs assign owners, due dates, escalation routes and closure evidence

Participants can sustain process gains through controls, ownership and benefits tracking.

• Control plans specify measures, limits, review frequency, owners and response actions
• Standard operating procedures document approved workflow, controls and exceptions
• Statistical process control distinguishes common-cause and special-cause variation
• Benefits-realisation registers track savings, service gains, costs and assumptions
• Daily management boards connect frontline performance with corrective action routines
• Audit trails provide evidence that redesigned controls operate as intended

Participants can build, review and present a complete evidence-based process improvement and innovation proposal.

• Improvement charter consolidates business problem, scope, measures, stakeholders and benefits
• Current-state evidence combines process maps, baseline data and customer insights
• Root-cause assessment links verified causes with prioritised improvement opportunities
• Future-state design specifies flow changes, controls, technology and operating roles
• Implementation plan defines pilots, milestones, risks, resources and governance
• Executive presentation communicates recommendation, economics, assumptions and control plan