Course Introduction
The Forensic Schedule Analysis and Delay Claims Course provides a comprehensive framework for investigating, analyzing, documenting, and presenting project delay issues in a technically rigorous and commercially defensible manner. Participants examine how baseline schedules, periodic updates, progress records, changes, correspondence, and project events can be reconstructed to establish what happened, when it happened, why it happened, and how those events affected planned completion. The course connects schedule analysis with contract administration, claims management, project controls, and dispute resolution.
Participants develop a structured understanding of forensic schedule analysis principles and the relationship between contractual obligations, approved baselines, contemporaneous schedule updates, actual progress, critical path movement, float, milestones, and completion dates. Particular attention is given to schedule integrity, data reliability, logic relationships, constraints, calendars, progress status, out-of-sequence work, and other factors that can materially influence delay conclusions. The course emphasizes evidence-based analysis rather than relying solely on retrospective narratives or isolated schedule outputs.
The course examines major forensic delay analysis methodologies and explains when different approaches may be appropriate. Participants explore as-planned versus as-built analysis, impacted as-planned analysis, time impact analysis, windows analysis, contemporaneous period analysis, and collapsed as-built analysis. Each method is considered in relation to baseline quality, update availability, project complexity, contemporaneous evidence, critical-path behavior, causation, concurrency, mitigation, and contractual requirements. Participants learn how to select, apply, test, and communicate an analytical methodology in a transparent and defensible manner.
A significant component of the course focuses on delay causation, entitlement, responsibility, and the distinction between excusable, compensable, non-compensable, and contractor-responsible delay. Participants learn how employer changes, late information, access restrictions, approvals, design development, procurement problems, contractor performance, unforeseen conditions, force majeure events, and third-party issues can affect project completion. The analysis also addresses concurrent delay, pacing, mitigation, acceleration, disruption, critical-path impact, float ownership, and the interaction between multiple delay events occurring during the same period.
Participants also develop practical skills for building a defensible delay claim or response using documentary and schedule evidence. The course covers evidence collection, chronology development, schedule validation, contemporaneous records, correspondence, meeting minutes, progress reports, drawings, change documentation, procurement records, site records, resource information, and commercial records. Participants learn how to reconcile conflicting evidence, identify gaps and inconsistencies, construct event timelines, trace cause-and-effect relationships, quantify time impacts, and prepare clear analytical narratives that can withstand technical, contractual, commercial, and dispute-resolution scrutiny.
The course concludes by examining advanced digital approaches to forensic scheduling, including integrated project controls platforms, schedule analytics, automated chronology development, machine learning, AI-assisted anomaly detection, and digital evidence management. Participants consider how emerging technologies can accelerate large-scale document review and identify patterns across schedules and project records while recognizing the importance of data quality, evidence integrity, cybersecurity, explainability, and human validation. The emphasis throughout is on combining rigorous schedule analysis with disciplined professional judgment to support credible delay claims, defenses, negotiations, adjudication, arbitration, and litigation.
Duration
5 days
Who Should Attend
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Project managers responsible for controlling project time, progress, and contractual performance
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Planning and scheduling engineers involved in baseline development, updates, and delay analysis
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Project controls professionals responsible for schedule performance and forensic investigations
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Delay analysts and forensic schedulers preparing extension-of-time and delay assessments
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Claims consultants and contract professionals supporting project claims and dispute resolution
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Quantity surveyors and commercial managers involved in time-related commercial claims
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Contract administrators managing extensions of time, variations, notices, and entitlement
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Project planners responsible for maintaining contemporaneous schedules and progress records
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Construction managers and site managers involved in delay causation and mitigation
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Consultants, engineers, and technical specialists contributing to delay investigations
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Legal professionals supporting construction and engineering disputes
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Employers, owners, and client representatives evaluating contractor delay submissions
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Contractors and subcontractors preparing or defending extension-of-time claims
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Project directors and senior managers responsible for recovery and dispute decisions
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PMO, governance, risk, and assurance professionals overseeing project performance and claims
Course Objectives
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Explain the principles, purpose, and professional application of forensic schedule analysis in delay claims and dispute resolution.
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Evaluate baseline schedules and periodic updates for logic integrity, progress reliability, critical-path validity, and analytical suitability.
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Apply recognized forensic delay analysis methodologies to determine the time impact of project events on planned completion.
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Reconstruct project chronology using schedules, correspondence, progress records, changes, approvals, and other contemporaneous evidence.
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Analyze critical-path movement, float consumption, milestone slippage, concurrent events, and changes in planned completion dates.
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Distinguish delay causation, responsibility, entitlement, concurrency, mitigation, acceleration, and other contractual considerations.
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Select appropriate forensic analysis techniques based on available evidence, project characteristics, schedule quality, and dispute circumstances.
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Develop clear cause-and-effect narratives that connect delay events to measurable impacts on project completion and contractual milestones.
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Prepare technically defensible delay analysis reports, claim substantiation, expert evidence, and executive-level conclusions.
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Apply digital analytics, AI-assisted investigation, and emerging forensic scheduling technologies while maintaining data integrity and human oversight.
Comprehensive Course Outline
Module 1: Foundations of Forensic Schedule Analysis
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Principles, objectives, scope, terminology, and professional applications of forensic schedule analysis in project disputes.
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Relationship between project schedules, contractual obligations, delay claims, extension-of-time assessments, and dispute resolution.
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Roles of planners, delay analysts, claims consultants, project controls teams, lawyers, experts, and decision-makers.
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Core principles of evidence-based analysis, contemporaneity, causation, transparency, consistency, and analytical defensibility.
Module 2: Schedule Structure, Baselines, and Data Integrity
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Development and assessment of approved baseline schedules, WBS structures, activity coding, calendars, logic, and milestones.
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Review of schedule updates, actual dates, remaining durations, progress percentages, constraints, lags, and out-of-sequence activities.
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Identification of schedule quality problems including open ends, excessive constraints, broken logic, unrealistic durations, and artificial float.
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Establishing schedule reliability, baseline integrity, data provenance, update consistency, and suitability for forensic analysis.
Module 3: Project Records and Forensic Evidence
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Collection and organization of schedules, correspondence, notices, meeting minutes, progress reports, drawings, and technical records.
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Integration of change orders, RFIs, approvals, procurement records, site diaries, photographs, inspections, and resource information.
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Development of contemporaneous chronologies, event registers, evidence matrices, and cause-and-effect documentation.
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Reconciliation of conflicting records, missing evidence, inconsistent dates, undocumented events, and unreliable project information.
Module 4: Delay Analysis Methodologies
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Application of as-planned versus as-built analysis to compare intended performance with actual project outcomes.
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Impacted as-planned analysis for assessing the theoretical effect of delay events against the approved baseline.
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Time impact analysis and insertion of delay events into contemporaneous schedule updates to assess critical-path consequences.
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Windows analysis, contemporaneous period analysis, and collapsed as-built approaches for complex or disputed project histories.
Module 5: Critical Path, Float, and Delay Causation
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Identification and validation of critical, near-critical, driving, and controlling paths throughout project execution.
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Analysis of float consumption, milestone movement, logic changes, resource constraints, and evolving completion forecasts.
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Establishment of causal links between project events, affected activities, critical-path movement, and contractual completion dates.
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Assessment of pacing, mitigation, resequencing, recovery actions, acceleration, and competing delay influences.
Module 6: Delay Responsibility, Concurrency, and Entitlement
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Classification of employer, contractor, subcontractor, third-party, neutral, excusable, compensable, and non-compensable delay events.
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Principles and practical challenges of concurrent delay, overlapping events, dominant causes, and responsibility allocation.
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Analysis of contractual notice requirements, extension-of-time provisions, prevention principles, and entitlement considerations.
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Evaluation of mitigation obligations, acceleration, disruption, prolongation, and interactions between time and cost claims.
Module 7: Claims Development and Forensic Analysis
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Structuring extension-of-time claims using event chronology, schedule evidence, contractual provisions, and demonstrated critical-path effects.
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Development of delay narratives, cause-and-effect matrices, entitlement schedules, and supporting analytical exhibits.
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Quantification and presentation of time impacts, affected milestones, revised completion dates, and recovery assumptions.
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Testing claimant and respondent positions through sensitivity analysis, alternative scenarios, evidence challenges, and independent reconstruction.
Module 8: Reporting, Expert Evidence, and Dispute Resolution
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Preparation of forensic schedule reports with methodology statements, assumptions, evidence references, analytical findings, and conclusions.
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Development of clear graphics, timelines, critical-path diagrams, windows analyses, and executive summaries for decision-makers.
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Supporting negotiation, mediation, adjudication, arbitration, litigation, and expert determination with technically defensible schedule evidence.
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Handling peer review, opposing expert challenges, cross-examination considerations, analytical limitations, and professional independence.
Module 9: Recovery, Mitigation, and Advanced Schedule Investigation
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Linking forensic findings to recovery strategies, schedule re-sequencing, acceleration measures, resource optimization, and completion forecasting.
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Investigation of delay-induced disruption, productivity impacts, procurement constraints, design issues, and extended project durations.
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Advanced scenario analysis for determining alternative completion outcomes under different causation and mitigation assumptions.
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Establishing lessons learned, schedule governance improvements, evidence-management practices, and stronger contemporaneous controls.
Module 10: Digital Forensic Scheduling, AI, and Emerging Practices
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Application of integrated project controls platforms, schedule analytics, automated chronology tools, and digital evidence repositories.
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Use of AI and machine learning for document classification, anomaly detection, event extraction, schedule comparison, and forensic pattern identification.
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Emerging applications of predictive analytics, natural-language processing, digital twins, and automated critical-path diagnostics in delay investigations.
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Data quality, cybersecurity, evidence integrity, AI explainability, model governance, expert validation, and human oversight in technology-enabled claims analysis.
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.
