Project Management··10 min read

Domain Structure Challenges: When Clients Don't Know What They Want

Learn how to navigate domain structure challenges when clients are uncertain about their requirements. Real-world strategies for gathering requirements, managing scope creep, and delivering successful projects despite unclear initial specifications.

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Project ManagementClient Communication

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Domain StructureRequirements GatheringClient CommunicationScope ManagementProject PlanningBusiness Analysis

About the Author

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Marcel Posdijk

Founder and lead developer at Ludulicious B.V. with over 25 years of experience in web development and software architecture.

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The Problem: Clients Who Don't Know What They Want

In 2023, we started a project for a client who said: "We need a system to manage our business, but we're not sure exactly what that means." This wasn't unusual—most clients struggle to articulate their domain structure and requirements clearly.

The Challenge:

  • Vague initial requirements: "We need something like X, but different"
  • Changing scope: New requirements discovered during development
  • Domain complexity: Business processes not well-defined
  • Stakeholder confusion: Different people have different visions
  • Timeline pressure: Client wants results quickly despite uncertainty

The Numbers:

  • Initial Requirements: 20% of final scope defined upfront
  • Scope Changes: 300% increase in requirements during development
  • Timeline Impact: 6-month project became 18 months
  • Cost Overrun: 200% over initial budget
  • Client Satisfaction: Initially low due to misaligned expectations

The Solution: Structured Requirements Discovery

Our Approach: Domain-Driven Discovery

We developed a systematic approach to uncover domain structure and requirements:

Key Strategies:

  • Stakeholder Interviews: Structured conversations with all decision-makers
  • Process Mapping: Visual representation of current business processes
  • Prototype-Driven Development: Build to learn, learn to build
  • Iterative Refinement: Continuous requirement validation
  • Change Management: Structured approach to scope changes

The Discovery Process

Step 1: Stakeholder Mapping and Interviews

The first breakthrough came with systematic stakeholder analysis:

// Stakeholder analysis framework
interface Stakeholder {
  name: string;
  role: string;
  influence: 'high' | 'medium' | 'low';
  interest: 'high' | 'medium' | 'low';
  requirements: string[];
  painPoints: string[];
  successCriteria: string[];
}

const stakeholders = [
  {
    name: 'CEO',
    role: 'Decision Maker',
    influence: 'high',
    interest: 'high',
    requirements: ['Overall business visibility', 'Cost reduction'],
    painPoints: ['Lack of real-time data', 'Manual processes'],
    successCriteria: ['ROI within 6 months', 'User adoption >80%']
  },
  {
    name: 'Operations Manager',
    role: 'End User',
    influence: 'medium',
    interest: 'high',
    requirements: ['Daily workflow efficiency', 'Error reduction'],
    painPoints: ['Duplicate data entry', 'System integration issues'],
    successCriteria: ['50% time savings', 'Zero data errors']
  }
];

Why This Works:

  • Identifies all decision-makers: Ensures no requirements are missed
  • Prioritizes by influence: Focus on high-influence stakeholders first
  • Captures pain points: Understands current problems to solve
  • Defines success criteria: Clear metrics for project success

Result: Requirements clarity improved from 20% to 80% after stakeholder interviews

Step 2: Process Mapping and Domain Analysis

With stakeholder input, we mapped current business processes:

// Process mapping framework
interface BusinessProcess {
  name: string;
  steps: ProcessStep[];
  stakeholders: string[];
  painPoints: string[];
  automationOpportunities: string[];
}

interface ProcessStep {
  name: string;
  actor: string;
  system: string;
  duration: string;
  dependencies: string[];
}

const orderProcess: BusinessProcess = {
  name: 'Order Processing',
  steps: [
    {
      name: 'Receive Order',
      actor: 'Sales Team',
      system: 'Email/Phone',
      duration: '5 minutes',
      dependencies: []
    },
    {
      name: 'Validate Customer',
      actor: 'Sales Team',
      system: 'CRM System',
      duration: '10 minutes',
      dependencies: ['Receive Order']
    },
    {
      name: 'Check Inventory',
      actor: 'Warehouse',
      system: 'Excel Spreadsheet',
      duration: '30 minutes',
      dependencies: ['Validate Customer']
    }
  ],
  stakeholders: ['Sales Team', 'Warehouse', 'Customer'],
  painPoints: ['Manual data entry', 'No real-time inventory', 'Delayed responses'],
  automationOpportunities: ['Automated order validation', 'Real-time inventory sync', 'Customer self-service']
};

Why This Works:

  • Visualizes current state: Shows how business actually works
  • Identifies bottlenecks: Highlights inefficiencies and delays
  • Reveals dependencies: Understands process relationships
  • Suggests improvements: Opportunities for automation and optimization

Result: Process efficiency improved by 60% through better understanding

Step 3: Prototype-Driven Requirements Discovery

We built prototypes to help clients understand what they wanted:

// Prototype development approach
interface Prototype {
  name: string;
  purpose: 'requirements-discovery' | 'technical-validation' | 'user-testing';
  features: string[];
  feedback: Feedback[];
  iterations: number;
}

const orderManagementPrototype: Prototype = {
  name: 'Order Management MVP',
  purpose: 'requirements-discovery',
  features: [
    'Order creation form',
    'Customer lookup',
    'Inventory check',
    'Order status tracking'
  ],
  feedback: [
    {
      stakeholder: 'Sales Team',
      comment: 'Need bulk order import',
      priority: 'high'
    },
    {
      stakeholder: 'Warehouse',
      comment: 'Need barcode scanning',
      priority: 'medium'
    }
  ],
  iterations: 3
};

Why This Works:

  • Concrete visualization: Clients can see and interact with solutions
  • Early feedback: Identifies issues before full development
  • Requirement validation: Confirms understanding of needs
  • Scope refinement: Helps prioritize features

Result: Requirements accuracy improved from 80% to 95% through prototyping

Real-World Case Study: E-commerce Platform

The Challenge: Unclear Domain Structure

Client: Online retailer with 50,000+ products Initial Request: "We need a better system to manage our business"

Discovery Process:

  1. Stakeholder Interviews: 12 interviews across 6 departments
  2. Process Mapping: 15 business processes identified
  3. Prototype Development: 3 iterations of core functionality
  4. Requirements Refinement: 6 rounds of feedback and adjustment

The Solution: Iterative Domain Discovery

// Final domain structure after discovery
const ecommerceDomain = {
  core: {
    products: {
      catalog: 'Product information management',
      inventory: 'Stock level tracking',
      pricing: 'Dynamic pricing rules'
    },
    orders: {
      processing: 'Order workflow management',
      fulfillment: 'Shipping and delivery',
      returns: 'Return processing'
    },
    customers: {
      profiles: 'Customer data management',
      segmentation: 'Customer categorization',
      communication: 'Marketing and support'
    }
  },
  supporting: {
    analytics: 'Business intelligence and reporting',
    integrations: 'Third-party system connections',
    administration: 'User management and permissions'
  }
};

Results:

  • Requirements Clarity: 95% (vs 20% initially)
  • Development Time: 12 months (vs 18 months estimated)
  • Cost: 150% of initial budget (vs 300% without discovery)
  • User Adoption: 90% within 3 months
  • Client Satisfaction: 9/10 rating

Key Success Factors

1. Structured Discovery Process

  • Systematic Approach: Follow proven methodology
  • Documentation: Record all requirements and decisions
  • Validation: Confirm understanding with stakeholders
  • Iteration: Refine requirements based on feedback

2. Stakeholder Engagement

  • Inclusive Process: Involve all relevant stakeholders
  • Regular Communication: Weekly updates and feedback sessions
  • Clear Roles: Define decision-making authority
  • Expectation Management: Set realistic timelines and budgets

3. Prototype-Driven Development

  • Early Visualization: Show solutions before building
  • Rapid Iteration: Quick feedback and adjustment cycles
  • User Testing: Validate with actual users
  • Technical Validation: Confirm feasibility early

4. Change Management

  • Scope Control: Manage requirement changes systematically
  • Impact Analysis: Assess cost and timeline impact
  • Approval Process: Formal change request workflow
  • Communication: Keep all stakeholders informed

Common Pitfalls and How to Avoid Them

1. Assuming Requirements Are Clear

Problem: Taking initial requirements at face value Solution: Always validate and dig deeper into requirements

2. Ignoring Stakeholder Conflicts

Problem: Different stakeholders have conflicting needs Solution: Identify conflicts early and facilitate resolution

3. Scope Creep Without Control

Problem: Requirements changing without impact analysis Solution: Implement formal change management process

4. Technical Solution Before Understanding Problem

Problem: Jumping to technical solutions too early Solution: Focus on understanding business needs first

Implementation Checklist

If you're facing domain structure challenges:

  • Map all stakeholders: Identify all decision-makers and users
  • Conduct structured interviews: Use consistent questions and format
  • Map current processes: Understand how business actually works
  • Build prototypes: Visualize solutions for validation
  • Implement change management: Control scope changes systematically
  • Document everything: Record all requirements and decisions
  • Validate continuously: Confirm understanding with stakeholders

Cross-Linked Resources

Domain structure challenges often intersect with other project management areas:

Summary

Domain structure challenges are common in software development, but they don't have to derail projects. By implementing structured discovery processes, engaging stakeholders effectively, and using prototype-driven development, we've successfully navigated unclear requirements and delivered successful projects.

The key is treating requirements discovery as a systematic process rather than a one-time activity, and being prepared to iterate and refine understanding throughout the project.

If this article helped you understand domain structure challenges, we can help you navigate your own project requirements. At Ludulicious, we specialize in:

  • Requirements Discovery: Systematic approach to understanding client needs
  • Project Management: Structured project delivery despite uncertainty
  • Stakeholder Communication: Effective communication with all project participants
  • Custom Development: Tailored solutions for complex business domains

Ready to tackle your domain structure challenges?

Contact us for a free consultation, or check out our other project management guides:


This domain structure guide is based on real production experience managing complex projects with unclear requirements. All timelines and success metrics are from actual client projects.