Defined MVP with fractured team in 60 days.

Aligned product architecture for integrated, multi-system sequencing program.

Cross-functional team in a working session, gathered around a conference table discussing a system architecture diagram on a whiteboard
Impact
  • Unblocked 18+ product-defining decisions across 30+ stakeholders
  • Drove MVP definition and secured executive phase-gate approval
  • Reduced risk, accelerated timelines, and lowered cost

The Problem

A next-generation sequencing platform entered development without alignment across hardware, software, bioinformatics, and operations.

This led to:

  • Fragmented priorities and conflicting assumptions
  • Unclear MVP boundaries
  • Poorly defined user needs
  • Gaps between lab workflows and digital systems

Left unresolved, this would have resulted in delays, increased cost, and downstream usability issues.

What Was Breaking

The system was not failing technically. It was failing structurally:

  • No shared definition of the end-to-end workflow
  • No clear connection between lab processes and software systems
  • Feature scope expanding without alignment to real user needs
  • Cross-functional teams optimizing in isolation

System level approach

Led end-to-end system architecture and workflow definition across assay, automation, software, and data systems.

Key actions:

  • Mapped the full workflow from sample to answer
  • Defined system architecture across lab, automation, and software
  • Established metadata and run planning strategy
  • Reframed user needs around real-world workflows
  • Aligned cross-functional requirements
  • Descoped non-critical features to protect MVP timeline

Outcomes

  • Aligned 18+ product-defining architecture decisions
  • Defined 16 features to mitigate assay failure and user error
  • Descoped 11 non-critical features to reduce cost and complexity
  • Established a clear MVP architecture across lab, software, and data systems
  • Secured executive phase-gate approval to proceed

Why This Worked

The focus was not on optimizing individual components, but on aligning the system end-to-end early in development. This prevented downstream rework, reduced risk during validation, and ensured the platform was designed for real-world use from the start.

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