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3. Stakeholder Analysis

Stakeholder analysis identifies individuals and entities that influence, are affected by, or have authority over the Sillah system.

Understanding stakeholder interests and influence helps prioritize requirements and manage potential conflicts during elicitation.


3.1 Stakeholder Identification

The following stakeholder groups were identified:

  • Families (Primary Users)
  • Healthcare Providers
  • System Administrators
  • Legal / Regulatory Authorities (PDPL)
  • Public Health Authorities (Future Stakeholders)

Only family members and healthcare providers participated directly in interviews. Regulatory and public-health perspectives were captured through document analysis.


3.2 Stakeholder Mapping

Stakeholder Role in System Primary Interest Influence Level Engagement Method
Families (Primary Users) End users of the platform Early detection, usability, privacy High Interview + Survey
Healthcare Providers Validate screening logic and recommendations Clinical accuracy High Interview
System Administrators Manage access control and platform integrity Secure system management Medium Document Analysis
Legal / Regulatory Authority (PDPL) Enforce data protection compliance Protection of sensitive health data High Document Analysis
Public Health Authority (Future) Potential system integration partner Preventive health scalability Medium Document Analysis

3.3 Stakeholder Classification

Stakeholders can be categorized based on their level of influence and direct involvement:

  • Primary Stakeholders: Families, Healthcare Providers
  • Secondary Stakeholders: System Administrators
  • External / Regulatory Stakeholders: PDPL Authority
  • Future Strategic Stakeholders: Public Health Authorities

Primary stakeholders were prioritized during elicitation to ensure alignment with user needs and preventive-health objectives.


3.4 Stakeholder Impact on Requirements

  • Families directly influenced usability, bilingual interface, and alert transparency requirements.

  • Healthcare providers influenced risk-detection logic clarity and recommendation structure.

  • Regulatory authorities influenced security and consent management requirements.

  • Future public-health stakeholders influenced scalability and integration considerations.