Troubled Project Recovery and Turnaround Management Course

Course Introduction

Troubled projects can rapidly consume financial resources, management attention, stakeholder confidence, and organizational capacity when emerging problems are not diagnosed and addressed systematically. The Troubled Project Recovery and Turnaround Management Course provides an intensive framework for identifying distressed project conditions, understanding root causes, stabilizing delivery environments, and developing practical recovery strategies that restore control, performance, credibility, and strategic alignment.

The course examines how project distress develops across scope, schedule, cost, resources, quality, risk, commercial performance, governance, leadership, stakeholder relationships, and organizational capability. Participants learn to distinguish symptoms from underlying causes, assess the severity and trajectory of project deterioration, and apply structured diagnostic techniques to determine whether a project requires stabilization, recovery, restructuring, acceleration, re-baselining, or fundamental strategic intervention.

Modern project recovery increasingly depends on timely data, predictive intelligence, integrated controls, and digital decision-support capabilities. The Troubled Project Recovery and Turnaround Management Course therefore incorporates AI-assisted diagnostics, predictive analytics, machine learning, automated reporting, project performance intelligence, digital twins, real-time progress information, and scenario modelling to strengthen the speed and quality of recovery decisions while maintaining appropriate human oversight and governance.

Participants will develop practical capabilities for designing and executing turnaround plans that address immediate stabilization as well as sustainable performance improvement. The course covers recovery governance, crisis leadership, schedule recovery, cost containment, cash-flow protection, resource optimization, scope and change control, risk reduction, commercial intervention, stakeholder confidence rebuilding, and the disciplined management of recovery actions through measurable milestones and accountability structures.

Particular emphasis is placed on difficult recovery environments where information may be incomplete, performance data may be unreliable, contractual relationships may be strained, and stakeholders may have conflicting priorities. Participants will explore forensic analysis, root-cause assessment, independent health checks, recovery baselines, critical path intervention, productivity improvement, claims and commercial exposure, decision escalation, and executive communication techniques that support informed action under significant delivery pressure.

By the end of the Troubled Project Recovery and Turnaround Management Course, participants will be equipped to lead structured project recovery initiatives from initial distress diagnosis through stabilization, turnaround execution, performance verification, and transition back to sustainable delivery. The course combines established project recovery disciplines with emerging AI-enabled methods to help organizations intervene earlier, make evidence-based decisions, protect value, and build greater resilience against future project failure.

Duration

10 Days

Who Should Attend

• Project directors, project managers, and programme managers responsible for recovering distressed or underperforming initiatives.

• PMO leaders and portfolio managers involved in project health monitoring, escalation, recovery planning, and executive reporting.

• Project controls managers, planners, cost engineers, and performance specialists supporting turnaround diagnostics and recovery execution.

• Commercial managers, contract managers, quantity surveyors, and claims professionals dealing with financially or contractually troubled projects.

• Risk managers and assurance professionals responsible for identifying deteriorating project conditions and recommending corrective interventions.

• Senior executives and investment sponsors responsible for strategic decisions concerning project continuation, restructuring, acceleration, or termination.

• Engineering, construction, infrastructure, technology, and capital project leaders managing complex delivery environments with significant performance pressures.

• Programme assurance, independent review, and governance professionals conducting health checks and recovery assessments.

• Finance and business planning professionals involved in cost containment, cash-flow protection, forecasting, and investment recovery decisions.

• Procurement and supply chain leaders managing supplier failures, commercial disputes, delivery bottlenecks, and critical material constraints.

• Change and transformation leaders supporting organizational, process, technology, and operating-model interventions during project recovery.

• PMIS, data, analytics, and digital transformation professionals developing project intelligence solutions for distressed delivery environments.

• Consultants and turnaround specialists providing independent project diagnostics, recovery strategies, and implementation support.

• Quality, safety, technical, and operational leaders dealing with deteriorating performance, readiness concerns, or compliance exposure.

• Professionals preparing for leadership roles involving complex project intervention, turnaround management, crisis delivery, and enterprise project recovery.

Course Objectives

• Diagnose troubled project conditions systematically by examining performance symptoms, underlying causes, interdependencies, governance weaknesses, data quality problems, and organizational factors that contribute to sustained project distress.

• Apply structured project health-check and turnaround assessment techniques to establish the severity, urgency, trajectory, recoverability, and strategic significance of a troubled project before committing resources to intervention.

• Develop evidence-based recovery strategies that stabilize immediate delivery risks while establishing realistic pathways for restoring schedule, cost, scope, quality, resource, commercial, and stakeholder performance.

• Evaluate project baselines, forecasts, performance trends, critical paths, productivity indicators, cost positions, commitments, risks, and changes to determine the most significant drivers of current and future project deterioration.

• Design practical turnaround governance structures that establish clear decision rights, escalation routes, recovery ownership, reporting disciplines, intervention thresholds, and executive accountability throughout the recovery lifecycle.

• Apply advanced schedule recovery techniques including critical-path intervention, resequencing, resource optimization, acceleration, schedule compression, recovery baselining, and scenario analysis without creating unmanaged downstream risks.

• Strengthen cost and financial recovery by applying cost containment, estimate-at-completion analysis, cash-flow management, commitment analysis, productivity improvement, contingency assessment, and value-protection techniques.

• Integrate risk, uncertainty, change, commercial, and stakeholder considerations into recovery planning so that corrective actions address interconnected problems rather than treating individual project symptoms in isolation.

• Use AI, predictive analytics, machine learning, automated reporting, and project performance intelligence to identify early warning signals, model recovery scenarios, prioritize interventions, and improve the timeliness of turnaround decisions.

• Develop effective stakeholder and crisis communication approaches that rebuild confidence, manage competing expectations, communicate difficult decisions transparently, and create sustained commitment to the recovery strategy.

• Establish measurable recovery milestones, leading and lagging indicators, action-tracking mechanisms, and assurance checkpoints that enable management to verify whether turnaround interventions are producing sustainable improvements.

• Create a future-ready project recovery framework that converts lessons from distressed projects into stronger governance, early-warning capabilities, organizational resilience, digital intelligence, and repeatable enterprise turnaround practices.

Comprehensive Course Outline

Module 1: Foundations of Troubled Project Recovery and Turnaround Management

• Understanding the characteristics, stages, warning signals, and organizational consequences of troubled, distressed, underperforming, and failing projects.

• Distinguishing temporary performance deviations from structural project distress requiring formal intervention, stabilization, recovery, or strategic reassessment.

• Examining common failure patterns across scope, schedule, cost, resources, quality, risk, governance, commercial management, leadership, and stakeholder relationships.

• Establishing the principles, lifecycle, decision logic, and success criteria for disciplined project recovery and sustainable turnaround management.

Module 2: Project Distress Diagnosis and Recovery Readiness Assessment

• Applying structured diagnostic frameworks to assess project health, deterioration severity, performance trajectory, recoverability, and urgency of management intervention.

• Evaluating project evidence, performance trends, management behaviours, delivery constraints, organizational conditions, and external factors influencing project distress.

• Assessing recovery readiness by examining leadership commitment, available resources, decision authority, information quality, stakeholder alignment, and organizational capacity for change.

• Developing recovery assessment reports that clearly identify critical problems, causal hypotheses, intervention priorities, constraints, and immediate management decisions.

Module 3: Root-Cause Analysis and Project Failure Diagnostics

• Applying root-cause analysis, causal mapping, fault-tree thinking, five-whys techniques, systems analysis, and evidence triangulation to identify underlying project failure drivers.

• Separating visible symptoms from systemic causes such as unrealistic assumptions, weak planning, governance gaps, inadequate controls, capability deficiencies, or unmanaged interfaces.

• Analysing interactions between multiple failure drivers to understand how scope instability, schedule pressure, cost escalation, risk exposure, and stakeholder conflict reinforce project distress.

• Using structured evidence and professional skepticism to validate causal conclusions and prevent recovery strategies from addressing the wrong problems.

Module 4: Recovery Governance, Leadership and Decision Architecture

• Designing turnaround governance arrangements that clarify recovery authority, executive sponsorship, decision rights, escalation thresholds, intervention responsibilities, and reporting requirements.

• Establishing recovery steering structures, war-room disciplines, decision logs, action registers, accountability mechanisms, and rapid escalation processes for critical issues.

• Applying crisis leadership principles to create decisive but evidence-based intervention while maintaining transparency, ethical standards, professional judgement, and stakeholder confidence.

• Managing executive decision-making when recovery choices involve competing priorities, incomplete information, significant financial exposure, contractual consequences, or reputational risk.

Module 5: Scope, Requirements and Change Stabilization

• Diagnosing scope instability, incomplete requirements, uncontrolled changes, interface ambiguity, specification deficiencies, and unclear acceptance criteria contributing to project deterioration.

• Establishing scope stabilization mechanisms that protect critical deliverables while preventing unnecessary requirements expansion and uncontrolled change activity.

• Applying rigorous change impact assessment across cost, schedule, resources, risks, contracts, quality, technical dependencies, benefits, and recovery objectives.

• Using configuration management, requirements traceability, baseline controls, and change governance to restore predictability and maintain alignment during turnaround execution.

Module 6: Schedule Recovery, Critical Path Intervention and Acceleration

• Conducting advanced schedule diagnostics to identify critical-path problems, excessive constraints, unrealistic logic, inadequate sequencing, resource conflicts, and schedule integrity weaknesses.

• Developing recovery schedules through resequencing, parallel working, selective acceleration, critical-path intervention, resource reallocation, and schedule compression techniques.

• Evaluating time-cost-quality-risk trade-offs associated with recovery alternatives before authorizing acceleration, overtime, additional resources, or revised delivery strategies.

• Applying schedule risk analysis, scenario modelling, predictive analytics, and AI-assisted forecasting to determine credible recovery dates and quantify residual schedule uncertainty.

Module 7: Cost Recovery, Financial Stabilization and Forecasting

• Diagnosing cost overruns through analysis of actual expenditure, commitments, accruals, productivity, procurement performance, changes, claims, contingencies, and estimate-at-completion movements.

• Developing cost stabilization strategies that protect cash flow, reduce avoidable expenditure, improve productivity, prioritize critical commitments, and control discretionary project spending.

• Applying advanced forecasting techniques to determine realistic ETC, EAC, funding requirements, cost-to-complete exposure, and financial recovery scenarios.

• Using integrated cost and schedule intelligence to understand how time recovery strategies, productivity improvements, scope decisions, and commercial interventions affect overall project economics.

Module 8: Risk, Uncertainty and Resilience in Project Turnaround

• Reassessing project risks using current evidence, emerging conditions, risk velocity, interconnected exposures, uncertainty ranges, and potential consequences of recovery actions.

• Applying quantitative risk analysis, probabilistic forecasting, scenario modelling, sensitivity analysis, and contingency assessment to strengthen recovery decision-making.

• Identifying emerging threats such as supply disruption, regulatory changes, technology dependencies, cybersecurity exposure, workforce constraints, climate-related impacts, and market volatility.

• Building project resilience through risk ownership, early-warning indicators, response strategies, trigger thresholds, recovery contingencies, and adaptive management mechanisms.

Module 9: Commercial, Contractual and Supply Chain Recovery

• Diagnosing contractual, procurement, supplier, claims, payment, variation, and commercial management issues that contribute to troubled project performance.

• Assessing contractor and supplier performance, contractual obligations, entitlement positions, commercial exposure, negotiation opportunities, and critical supply-chain dependencies.

• Developing commercially responsible intervention strategies covering renegotiation, recovery agreements, supplier restructuring, procurement alternatives, claims management, and dispute avoidance.

• Using commercial data, contract intelligence, AI-assisted document analysis, and predictive supplier analytics to improve visibility of emerging commercial and supply-chain risks.

Module 10: Productivity, Resources and Delivery Capability Recovery

• Diagnosing productivity deterioration through analysis of labour performance, equipment utilization, workface constraints, rework, waiting time, absenteeism, skills gaps, and operational bottlenecks.

• Optimizing resources by aligning people, equipment, materials, specialist capabilities, and management capacity with the highest-priority recovery activities.

• Developing targeted productivity improvement initiatives supported by measurable baselines, operational metrics, workflow redesign, performance incentives, and constraint removal.

• Applying digital workforce analytics, real-time field information, AI-assisted productivity analysis, and predictive resource modelling to strengthen recovery execution.

Module 11: AI, Predictive Analytics and Intelligent Turnaround Management

• Applying generative AI, machine learning, natural language processing, and intelligent automation to analyse project information and accelerate troubled-project diagnostics.

• Using predictive analytics to detect deteriorating trends, forecast schedule and cost outcomes, identify performance anomalies, and prioritize interventions before problems become irreversible.

• Exploring AI agents and automated workflows for recovery reporting, action tracking, document review, risk monitoring, meeting intelligence, issue classification, and executive decision support.

• Establishing responsible AI controls covering data quality, model explainability, human oversight, cybersecurity, privacy, bias, model drift, auditability, and accountability in high-impact recovery decisions.

Module 12: Digital Project Intelligence and Real-Time Recovery Monitoring

• Integrating project management information systems, common data environments, business intelligence platforms, field technologies, and operational data sources to create a reliable recovery information environment.

• Using dashboards, digital twins, real-time analytics, automated performance alerts, and integrated project controls to monitor recovery progress and emerging deviations.

• Establishing data governance, information quality, interoperability, access controls, and audit trails that support trustworthy recovery intelligence across multiple project stakeholders.

• Designing recovery control rooms and executive dashboards that convert complex project data into actionable insights, intervention priorities, and timely management decisions.

Module 13: Stakeholder Confidence, Crisis Communication and Organizational Alignment

• Mapping stakeholder interests, influence, expectations, concerns, and sources of resistance to develop targeted communication and engagement strategies during project recovery.

• Communicating difficult project realities through transparent performance narratives, evidence-based forecasts, recovery milestones, decision requirements, and clearly defined management actions.

• Rebuilding confidence with sponsors, clients, contractors, regulators, users, project teams, and affected stakeholders through visible accountability and consistent delivery against recovery commitments.

• Managing organizational resistance, leadership tension, blame dynamics, cultural barriers, and change fatigue that can undermine otherwise technically sound turnaround initiatives.

Module 14: Recovery Planning, Implementation and Performance Control

• Developing integrated turnaround plans that connect immediate stabilization actions with medium-term recovery initiatives, strategic decisions, resources, dependencies, risks, and measurable outcomes.

• Establishing recovery milestones, leading indicators, lagging indicators, intervention thresholds, action owners, deadlines, evidence requirements, and escalation mechanisms.

• Applying disciplined recovery control cycles to compare actual results against turnaround targets, evaluate intervention effectiveness, and rapidly adjust strategies when assumptions change.

• Embedding independent assurance, health checks, peer reviews, and management gateways to verify that reported recovery progress reflects genuine and sustainable project improvement.

Module 15: Recovery Verification, Lessons Learned and Sustainable Performance

• Determining whether a troubled project has achieved sufficient stability to transition from intensive turnaround management into normal project governance and performance control.

• Verifying recovery through objective evidence covering schedule performance, cost position, scope stability, quality, risk exposure, commercial health, stakeholder confidence, and delivery capability.

• Capturing lessons from failure and recovery experiences to strengthen organizational methodologies, governance standards, early-warning systems, leadership practices, and project controls.

• Establishing post-recovery monitoring arrangements that prevent performance regression and ensure that corrective improvements remain embedded after the formal turnaround period ends.

Module 16: Advanced Turnaround Strategy, Enterprise Recovery and Future Readiness

• Developing enterprise-level project recovery capabilities that allow organizations to identify distressed projects earlier, mobilize specialist intervention, and deploy repeatable turnaround methodologies.

• Applying advanced scenario planning, predictive project intelligence, digital twins, AI agents, autonomous workflow automation, and real-time analytics to strengthen future recovery capabilities.

• Designing recovery playbooks, escalation protocols, intervention thresholds, governance standards, specialist roles, and knowledge repositories that support rapid organizational response to project distress.

• Creating a future-ready turnaround transformation roadmap that integrates lessons learned, digital intelligence, resilience, responsible AI, capability development, and continuous improvement into enterprise project delivery.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue 

The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.

Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808

Terms of Payment:

Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.