Operational Problem Solving Training Course

Duration 5 days 10 modules · 33 contact hours
Level Intermediate Certificate on completion
Who attends Operations Managers, Team Leaders and Supervisors and others
Fee from USD 1,100 KSh 95,000 for Kenyan organisations
Where 52 cities + online See dates by city
Next start 16 Nov 2026 Course code SD-OM-048

Before you join: Participants should have experience working in an operational, service, project, quality, technical or supervisory role and should be familiar with the basic steps of at least one process they support.

Dates & prices

Two start dates a month in every city, and live online on weekdays or weekends. Fees are per participant; classroom fees include tuition, materials, lunch and refreshments, and the certificate.

Suggest a date or city

Showing the next six months. Later dates, other cities and private deliveries for your team are available on request.

Course overview

Operational problems such as recurring defects, delayed approvals, missed service levels, rework, equipment downtime and customer complaints often persist because teams treat symptoms rather than causes. Effective troubleshooting requires more than experience and intuition: it requires clear problem definition, reliable evidence, disciplined root-cause analysis and controls that keep improvements in place. This course gives operations professionals a repeatable method for investigating process failures and improving performance without relying on guesswork.

Participants learn to frame operational problems, map processes, collect useful data, identify variation, isolate root causes and test whether proposed causes are supported by evidence. The course covers SIPOC and process mapping, check sheets, Pareto analysis, run charts, Fishbone diagrams, Five Whys, cause-and-effect matrices, FMEA, standard work, control plans and A3 reporting. Participants also learn how to distinguish containment from corrective action, select practical countermeasures, manage implementation risks and monitor results after changes are introduced.

Teaching combines short instructor briefings with realistic cases drawn from manufacturing, banking operations, public services, logistics, healthcare administration and shared-service environments. Participants analyse process data, build problem-solving records, assess failure risks and prepare improvement actions using structured templates. They leave with a reusable operational problem-solving pack containing an A3 report structure, root-cause analysis tools, a countermeasure selection matrix, an FMEA worksheet, a control plan and a personal application plan for a live workplace issue.

The course is suited to supervisors, operations managers, process owners, quality professionals, project staff and technical specialists responsible for resolving recurring performance problems. It is particularly useful where teams need a common method for investigating incidents, reducing repeat failures and converting improvement decisions into controlled operational changes.

What you will be able to do

  • Frame operational problems using measurable gap statements, boundaries and business consequences
  • Map end-to-end processes using SIPOC, swimlane and value stream mapping techniques
  • Collect and interpret operational data using check sheets, run charts and Pareto analysis
  • Identify root causes using Fishbone diagrams, Five Whys and cause-and-effect matrices
  • Verify suspected causes through stratification, comparisons and evidence-based testing
  • Select countermeasures using impact-effort, Pugh matrix and pilot planning methods
  • Control implementation risks using FMEA, standard work and process control plans
  • Produce an A3 problem-solving report with actions, ownership and follow-up measures

Benefits of attending

For you

  • Investigate recurring operational failures with a structured, evidence-based method
  • Present root-cause findings clearly to managers, technical teams and process owners
  • Distinguish temporary containment from permanent corrective and preventive actions
  • Build credible improvement proposals supported by data, risks and control measures
  • Apply reusable A3, FMEA and control-plan templates to workplace problems

For your organisation

  • Reduce repeat defects, rework, delays and avoidable operational losses
  • Improve consistency of incident investigation and corrective action decisions
  • Identify process bottlenecks and failure points before customer impact increases
  • Strengthen control ownership following operational changes and improvement projects
  • Create clearer evidence trails for quality reviews, audits and management decisions

Course modules

10 modules over 5 days

Participants can define an operational problem precisely enough to guide investigation and action.

  • Problem statements separate observed gaps, targets, boundaries and business consequences
  • SIPOC maps define suppliers, inputs, process steps, outputs and customers
  • CTQ requirements translate customer needs into measurable operating specifications
  • Operational definitions remove ambiguity from defect, delay, rework and downtime measures
  • Is/Is Not analysis narrows location, timing, population and symptom
  • Stratification separates patterns by product, shift, site, team and channel

Participants can create a focused data picture of process performance and variation.

  • Data collection plans specify measures, sources, owners, frequency and sampling rules
  • Check sheets capture defect types, occurrences, locations and suspected conditions
  • Process baselines distinguish common-cause variation from isolated special causes
  • Run charts reveal shifts, trends, cycles and instability over time
  • Histograms expose spread, skewness, clusters and distributional shape
  • Measurement system checks test operational definitions, repeatability and recording accuracy

Participants can visualise process flow, identify waste and locate performance constraints.

  • Swimlane maps expose handoffs, queues, rework loops and decision points
  • Value stream maps quantify processing time, waiting time, inventory and lead time
  • Spaghetti diagrams trace unnecessary movement through physical service processes
  • Work observation separates value-added work, necessary work and waste
  • Little’s Law links work-in-progress, throughput and lead time
  • Bottleneck analysis identifies constrained resources and downstream starvation or blocking

Participants can generate and structure plausible causes without confusing symptoms with causes.

  • Pareto charts rank loss categories by frequency, cost or elapsed time
  • Fishbone diagrams structure potential causes across people, methods, machines and materials
  • Five Whys tests causal chains against observed evidence and process facts
  • Cause-and-effect matrices score input variables against critical output requirements
  • Fault tree analysis traces combinations of failures producing a defined event
  • Distinguish symptoms, contributing factors, root causes and control failures

Participants can test suspected causes before committing resources to solutions.

  • Cause verification plans define evidence, comparison groups, timing and decision criteria
  • Scatter plots test relationships before claiming operational causation
  • Stratified comparisons isolate effects hidden within aggregate performance data
  • Before-and-after analysis accounts for volume, mix, seasonality and staffing changes
  • Five Why conclusions are challenged using contradictory evidence and alternative explanations
  • Verification logs record findings, confidence limits, owners and unresolved questions

Participants can choose proportionate countermeasures that address verified causes and operational constraints.

  • Countermeasure selection distinguishes containment, correction, corrective action and prevention
  • Brainstorming rules separate idea generation from evaluation and advocacy
  • Impact-effort matrices prioritise feasible improvements under resource constraints
  • Pugh matrices compare alternatives against weighted operational criteria
  • Pilot charters define scope, measures, safeguards, duration and decision gates
  • Risk assessments anticipate adverse effects, dependencies and implementation failure modes

Participants can design preventive controls that reduce the likelihood and impact of repeat failures.

  • FMEA scores severity, occurrence and detection for proposed process changes
  • Control plans assign monitoring methods, response actions and accountable roles
  • Poka-yoke methods prevent errors or detect them before release
  • Visual controls make status, standards, abnormalities and ownership immediately visible
  • Standard work documents sequence, timing, quality checks and escalation points
  • Containment actions protect customers while permanent fixes are developed

Participants can organise corrective actions with clear ownership, communication and escalation arrangements.

  • RACI matrices clarify decision rights, task ownership, consultation and notification
  • Implementation plans sequence activities, dependencies, milestones, resources and approvals
  • Change impact assessments identify affected roles, procedures, systems and suppliers
  • Training matrices specify competence requirements, assessors, evidence and refresher intervals
  • Escalation paths define response authority for missed controls and recurrent failures
  • Communication plans explain changed standards, reasons, effective dates and support

Participants can monitor changed processes and respond when performance moves outside expected limits.

  • Control charts distinguish routine variation from signals requiring investigation
  • Reaction plans specify immediate actions for out-of-control process signals
  • Layered process audits test adherence to critical controls and standard work
  • Daily management boards connect targets, abnormalities, actions and escalation
  • Leading indicators track control performance before customer impact occurs
  • CAPA records link nonconformities, investigations, actions, verification and closure

Participants can document and communicate a problem-solving case for approval, action and follow-up.

  • A3 reports connect problem definition, analysis, countermeasures, controls and follow-up
  • Storyboard logic presents evidence, decisions, risks and ownership concisely
  • Executive summaries quantify operational impact, investment needs and decision requests
  • Action registers assign dates, owners, dependencies, status and escalation triggers
  • Benefits tracking compares realised results against baseline and projected improvements
  • Personal application plans select a live problem, sponsor and first actions

Exercises and examples are adapted to each cohort's sectors and roles.

What you take back to work

  1. A3 problem-solving report template
  2. Operational problem-framing checklist
  3. Root-cause analysis toolkit
  4. Countermeasure selection matrix
  5. FMEA and process control plan templates
  6. Workplace problem application plan

Who should attend

  • Operations Managers — resolving recurring delays, defects, service failures and waste
  • Team Leaders and Supervisors — investigating daily performance deviations with their teams
  • Process Owners — improving end-to-end workflows, handoffs and control points
  • Quality and Continuous Improvement Staff — applying structured analysis beyond audit findings
  • Project Managers — addressing operational risks during process and system changes
  • Technical Specialists — diagnosing equipment, service or transaction process failures

Skills and tools covered

Root-cause analysisProcess troubleshootingOperational data analysisCountermeasure designFailure risk controlA3 reporting

Tools and standards

PDCA cycle, A3 problem-solving, Failure Mode and Effects Analysis (FMEA), Statistical Process Control (SPC)

How the course runs

Training methodology

The course uses short briefings to introduce each method, followed by instructor-guided analysis of realistic operational cases. Participants work individually and in groups to frame problems, interpret data, map processes, identify possible causes, assess risks and select countermeasures. Simulations show how incomplete data, weak problem statements and untested assumptions can produce poor decisions. Facilitated review sessions compare alternative analyses and strengthen reasoning. Participants finish by preparing an application plan for a current or anticipated workplace problem.

Requirements and prerequisites

Participants should have experience working in an operational, service, project, quality, technical or supervisory role and should be familiar with the basic steps of at least one process they support. They should be comfortable discussing performance measures such as volume, turnaround time, error rates, backlog, downtime or service levels. No prior training in Lean, Six Sigma, statistical process control or quality management is required. The course does not require advanced mathematics, specialist software or formal responsibility for an improvement programme.

A typical training day

08:30 – 10:30First session
10:30 – 10:45Refreshment break
10:45 – 12:30Second session
12:30 – 13:30Lunch and networking
13:30 – 15:00Third session
15:00 – 15:15Refreshment break
15:15 – 16:30Workshop and daily review

Live online deliveries follow the same structure in East Africa Time, with shorter screen blocks and longer breaks.

What the fee includes

  • Instruction by a practitioner facilitator
  • Full course workbook and materials
  • Exercise files, templates and case studies
  • Refreshments and lunch on classroom deliveries
  • Certificate of completion
  • Post-course application plan

Frequently asked questions

Participants should understand the basic process or service area in which they work and have experience of operational measures or recurring performance issues. Previous Lean, Six Sigma or quality management training is not required.

Bring details of a recurring operational problem, such as delays, errors, rework, complaints, downtime or missed service levels. You do not need confidential data; anonymised examples, rough measures and process knowledge are sufficient.

It is designed for managers, supervisors, process owners, quality staff, project professionals and technical specialists who investigate or resolve operational problems. It suits both manufacturing and service environments.

This course focuses on practical troubleshooting of live operational problems rather than certification in a wider improvement discipline. It uses selected Lean, quality and statistical methods where they help teams identify causes, choose fixes and sustain results.

Participants can use the A3 structure, root-cause tools, FMEA worksheet and control-plan template for current issues. The final application plan identifies a suitable problem, sponsor, first actions and measures for follow-up.

The five-day programme runs from 08:30 to 16:30 each day, providing about 6.5 contact hours daily. Time is divided between method briefings, case analysis, group work, simulations, facilitated review and application planning.

Questions about this course?

Ask about dates, fees, group bookings or running it for your team. Our training team replies by email.