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Selected Case StudyProfessional experienceControlled Field TestSep 2025 — PresentCurrent

Houbad — Smart Ambulance MVP, Controlled Field Test & Technical Acceptance

ProductTechnical

Controlled MVP delivery path

  1. 01
    Requirements & operational workflow
  2. 02
    MVP integration
  3. 03
    Controlled field validation
  4. 04
    Technical acceptance
Evidence: Controlled EMS field test on 2 real ambulances; 4 confidential systems under technical acceptance. Boundary: not live-patient production deployment.

Problem & Users

An incomplete ambulance concept and broad target architecture needed a feasible MVP for controlled validation.

Users: EMS teams and enterprise stakeholders.

Role & Ownership

Official title: Researcher — Product & Technical Projects. Functional scope: Product Manager.

Key Action

Scoped a testable emergency MVP and translated requirements into integration and acceptance checks.

Key Decisions

  • Evidence: the target architecture was broader than what the available hardware and delivery context could validate. Trade-off: present the broad architecture as progress or isolate a testable end-to-end workflow. Decision: prioritize the implemented emergency MVP and report only validated scope. Result: controlled field testing on two real ambulances.
  • Define clear workflow closure and exception-handling requirements so operational outcomes remain traceable.
  • Convert contractual requirements into executable acceptance scenarios and use observed evidence for approve, conditional-approve, or reject recommendations instead of relying on documentation alone.

Delivery & Technical Approach

  • Turned an incomplete ambulance concept into user flows, MVP priorities, requirements, and executable tasks while coordinating a small frontend/backend group without a dedicated designer.
  • Defined integration boundaries and operational workflow requirements across the ambulance MVP, then validated them through controlled field testing.
  • Converted contractual technical appendices into acceptance criteria, functional/integration scenarios, defect records, remediation checks, retests, and evidence-based recommendations across confidential vendor deliveries.
Enterprise workflowsIoT / medical-device integrationUAT / integration testingTechnical acceptance

Outcome / Impact

  • Reached an initial smart-ambulance MVP in approximately seven months.
Collaborator Perspective

First-hand feedback from a developer who worked with me on this case.

Alireza's technical background made communication with the development team much easier, while he was also able to work effectively with non-technical stakeholders. During the Smart Ambulance project, he kept the team focused through unclear requirements and delivery challenges, prioritized effectively, and helped us move the project toward a concrete outcome.
Sobhan Yazdanjoo, Smart Ambulance collaborator
Sobhan Yazdanjoo
Frontend Developer · SnappPay
Frontend developer on the Smart Ambulance project

Translated and edited for clarity from original Persian feedback · Used with permission

Constraints & Boundary

  • No dedicated designer and several hardware/infrastructure dependencies constrained delivery.
  • Field validation remained controlled and did not reach live-patient production deployment.
  • Confidential client identities, system architectures, capabilities, and operational details cannot be published.

Scope note: Evidence supports an MVP plus controlled EMS field testing on two ambulances, not live-patient production. Confidential systems remain anonymized.

Reflection & Next

  • Scope honesty is part of enterprise product judgment: a large target architecture is not the same as implemented product scope.
  • Technical acceptance becomes stronger when contractual requirements are converted into observable test scenarios.

Next: Before any future restart, confirm system readiness and acceptance criteria, then expand controlled validation only when those gates are met.

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