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Underdeveloped Scope with Unclear Ground Condition and Engineering: A Deep Dive into Root Causes and Solutions

Major infrastructure projects continue to face one persistent and costly problem: underdeveloped scope combined with unclear ground conditions and immature engineering practices. This issue is not confined to one country or sector; it appears repeatedly across geographies, budgets, and delivery models. Budget overruns, delays, disputes, and even outright failures all trace back to these foundational weaknesses.

The discussion usually focuses on surface symptoms like, budget blowouts and schedule slips, but these are merely the outcomes of deeper structural and behavioral issues. A closer look reveals that these problems arise long before the first shovel touches the ground.

The Visible Symptom: Underdeveloped Scope and Unclear Ground Conditions

Many leaders and teams first notice these problems only after execution begins. By that point, incomplete scopes and vague ground data have already introduced hidden risks into the project. Teams then scramble to solve issues that could have been avoided with more rigorous preparation.
Projects often move into execution phases with incomplete scopes. Key information on ground conditions remains missing or generalized. Engineering assumptions are based on minimal evidence, and contingency planning often lacks rigor.
Some uncertainty is expected early on. However, many projects advance with a level of ambiguity far beyond what should be acceptable. Risks become embedded into the project from the outset, making future challenges unavoidable.
These symptoms do not emerge by accident. They result from a set of root causes embedded in governance, financial incentives, organizational culture, and decision-making processes.

1.1. Incomplete Early Stage Site Investigation

The Initial Chain of Causes

Insufficient site investigation during feasibility and pre-design phases stands as a primary contributor. Essential activities such as geotechnical surveys, environmental assessments, and detailed topographical studies are either minimized or entirely skipped.
Several systemic factors drive this behavior:
  1. Limited Funding and Compressed Budgets Sponsors frequently restrict early-stage spending. Comprehensive site investigations require significant upfront investment, and decision-makers often hesitate to commit before full project approvals.
  2. Pressure for Fast-Track Approvals Sponsors prioritize early green lights to secure funding or meet political and regulatory promises. Project readiness often takes a back seat.
  3. Misaligned Incentives Project leaders receive recognition for achieving initial approvals rather than ensuring robust technical readiness. This misalignment pushes teams to rush.
  4. Milestone-Driven Governance Structures Approval frameworks emphasize stage-gate milestones rather than actual readiness, allowing projects to proceed despite unresolved technical gaps.
  5. Weak Independent Reviews The absence of strong third-party validations leaves scope and technical assessments unchecked.
  6. Cultural Acceptance of Uncertainty Many organizations hold a belief that unknowns can be managed later, underestimating future impact.
  7. Optimism Bias and High-Risk Appetite Overconfidence in later-stage problem-solving often leads to freezing scope prematurely.

The Solution

Front-end loading (FEL) processes with strict readiness criteria set a stronger foundation. Independent scope and site validations before approvals ensure critical risks are addressed. Incentive structures should reward thoroughness and technical quality rather than speed alone.

1.2. Poor Interdisciplinary Coordination

The Fragmentation Challenge

Disciplines such as geotechnical, civil, environmental, and structural engineering frequently work in silos. Gaps between these areas create conflicting assumptions and elevate risks.

Several reasons drive this fragmentation:

  1. Siloed Organizational Structures
    Departments operate as isolated units, reducing information flow and collaboration.
  2. Absence of Integrated Digital Platforms
    Critical data remains trapped in disconnected systems without a unified view.
  3. Legacy Processes
    Reliance on outdated document transfers stifles dynamic design evolution.
  4. Resistance to Digital Adoption
    Teams often hesitate to embrace new systems like BIM or GIS, viewing them as optional rather than essential.
  5. Inadequate Training and Change Support
    Teams receive insufficient guidance and support to adopt new practices effectively.
  6. Leadership Underestimation
    Senior leaders sometimes treat digital transformation as an IT task instead of a core strategic shift.
  7. Limited Investment in Capability Building
    Budgets focus heavily on delivery at the expense of internal capability and digital maturity.

The Solution

Mandating integrated digital platforms improves transparency and cross-disciplinary alignment. Investment in comprehensive training and change support builds true adoption. Leaders must treat digital enablement as a central business strategy rather than a side initiative.

1.3. Limited Access to Historical Data

The Data Deficit

Many projects start without access to valuable data from earlier studies or nearby projects, forcing teams to rebuild knowledge from scratch.

Key reasons for this gap include:

  1. Fragmented Data Ownership
    Data resides across different private and public entities, making access difficult.
  2. Absence of Centralized Repositories
    National or regional infrastructure data repositories are rare or nonexistent.
  3. Lack of Policy Frameworks
    Without clear regulations, data sharing remains inconsistent and discretionary.
  4. Legal and Commercial Barriers
    Concerns around liability and intellectual property discourage open data sharing.
  5. No Standardized Legal Protections
    Absence of consistent agreements makes data custodians hesitant to release valuable information.
  6. Short-Term Political Focus
    Leaders prioritize quick wins over systemic improvements, leaving data strategies neglected.
  7. Weak Industry Pressure for Reform
    Stakeholders rarely push hard enough for collective data sharing reforms.

The Solution

Establishing national infrastructure data repositories with mandatory submission requirements supports transparency. Developing legal frameworks ensures safe and fair data sharing. Tying data compliance to funding or permit approvals encourages participation.

1.4. Inadequate Subsurface Risk Modeling

Blind Spots in Modeling

Available data often receives simplistic treatment, leading to unrealistic assumptions or overly conservative designs.

Key reasons for weak subsurface modeling include:

  1. Simplistic or Conservative Approaches
    Teams may oversimplify or adopt overly cautious assumptions due to confidence gaps.
  2. Underuse of Advanced Tools

     Tools, techniques and skills to accurately perform 3D geotechnical modeling and probabilistic risk analysis remain inadequate.

  3. Shortage of Specialized Expertise

     Skilled professionals in advanced geotechnical modeling are in limited supply.
  4. Low Priority for Geotechnical Work
    Compared to other engineering disciplines, geotechnical input often receives less attention and investment.
  5. Procurement Focus on Lowest Cost
    Tender processes reward cheaper options instead of thorough technical analysis.
  6. Contract Evaluations Emphasize Price
    Procurement scoring frameworks undervalue technical rigor.
  7. Procurement Misalignment with Lifecycle Risk
    Short-term cost focus disregards long-term risk exposure.

The Solution

Organizations should mandate advanced geotechnical modeling early, invest in 3D modeling training, use probabilistic risk analysis, and elevate geotechnical work’s importance. Procurement frameworks must prioritize technical submissions. Requiring advanced risk modeling in feasibility phases strengthens project readiness. Moving evaluations beyond price toward lifecycle value reduces future overruns and delays.

1.5. Frequent Scope Revisions During Construction

The Cascade of Unknowns

Unforeseen ground conditions force redesigns mid-construction, driving up costs and timelines.

Key reasons for ongoing scope changes include:

  1. Lack of Early Utility Mapping
    Inadequate investment in tools like GPR and LiDAR leaves subsurface surprises.
  2. Reluctance to Spend on Early Detection
    Decision-makers consider upfront investigations an unnecessary expense.
  3. Underestimation of Variation Costs
    Many organizations fail to appreciate the true cost impact of late-stage changes.
  4. No Structured Cost-Benefit Analysis
    Few institutions compare early detection investment against potential redesign costs systematically.
  5. Absence of Formal VOI Studies
    Projects rarely quantify the benefits of better information before construction.
  6. Qualitative Treatment of Ground Risks
    Risks appear as generic entries in registers without quantified impacts.
  7. Optimism in Early Estimates
    Understated risks help secure approvals but undermine delivery integrity.

The Solution

Mandating VOI studies in planning phases quantifies early information value. Quantitative ground risk registers throughout design and construction phases support realistic decision-making. Frameworks comparing early and late-stage cost impacts help stakeholders make informed investments upfront.

Cross-Cutting Recommendations: Linking Scope to the Wider Delivery System

Fixing underdeveloped scope cannot stand alone. Each solution must connect with other systemic levers across the project lifecycle to prevent overruns and delays. The following integrated pathways highlight how scope-related reforms interface with other critical clusters of PM²:
  • Front-End Loading (FEL) and Independent Readiness Reviews Strengthens early project assurance and ensures that authorities’ approvals (Cluster 2) are based on realistic, fully validated baselines, reducing late-stage regulatory challenges.
  • Integrated Digital Engineering Platforms and Leadership Alignment Improves coordination between disciplines while simultaneously feeding accurate, real-time data into performance reporting and intelligence systems, breaking silos and enabling predictive insights.
  • National Infrastructure Data Repositories and Legal Frameworks Enhances not only early scope development but also supports risk management (Cluster 4) and future project benchmarking, creating an institutional knowledge base for ongoing PMC governance (Cluster 7).
  • Advanced Geotechnical Modeling and Risk-Based Procurement Reform Directly improves subsurface risk management while ensuring procurement decisions align with broader integrated project control standards (Cluster 6), preventing lowest-cost bias from undermining delivery.
  • Institutionalized Value of Information (VOI) Studies and Quantitative Ground Risk Registers Provides a structured approach to weighing early detection costs against late-stage redesign impacts, directly linking with risk buffers in planning and scheduling (Cluster 3) and ensuring better control over change management (Cluster 1).

Why Integration Matters

Addressing scope in isolation only shifts the problem elsewhere. Each recommendation reinforces not only the cluster of underdeveloped scope but also the broader ecosystem of approvals, controls, risk management, and governance. Only by treating these interdependencies as one connected system can major projects break the cycle of overruns and deliver outcomes that match ambition.

Challenge

Solution

Incomplete Scope

Front-End Loading (FEL), independent readiness reviews, governance reform

Poor Interdisciplinary Coordination

Integrated digital engineering platforms, capability-building, leadership alignment

Data Access Gaps

National infrastructure data repositories, legal frameworks for data sharing

Weak Subsurface Modeling

Advanced geotechnical modeling requirements, procurement reform

Costly Scope Revisions

Institutionalized VOI studies, quantitative ground risk management

Conclusion

Project failures do not arise from random technical errors or delivery team missteps alone. They are rooted in a systemic failure to connect realistic early-stage assumptions with market realities, workforce capacity, and delivery frameworks.
Technical excellence in construction remains strong, but consistent failure to meet budget and time commitments signals a deeper structural problem.
Successful outcomes depend on reforming how projects are scoped, awarded, and managed. Leadership courage, not technical knowledge, stands as the true barrier to progress.
Shifting from a focus on isolated problems to a comprehensive, systemic understanding offers the only path to bridging the gap between project ambition and actual delivery.

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