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MediaTech / Broadcast / Newsroom

MediaTech & Broadcast Workflow Systems

When users are operators, workflow is the product.

In operator software, a confusing state is not a minor UX bug, it is operational risk. The goal is dependable behavior under pressure.

I model workflows, states, and handoffs so the product becomes predictable, resilient, and easier to support.

Reality

This is coordination software: multiple roles, devices, integrations, and time-critical actions under pressure.

What breaks

State ambiguity, workflow sprawl, customization chaos, and brittle handoffs create support dependency and distrust.

What I fix

State models, handoff design, and shipping discipline so the workflow becomes dependable, not fragile.

Symptoms

  • Users cannot tell draft vs confirmed vs live
  • Support is required to operate the product reliably
  • Customization produces inconsistent setups
  • Changes cause regressions because workflow rules are not explicit
  • Features increase complexity without improving speed
  • Handoffs across roles, tools, and devices feel brittle

What I install (execution system moves)

  • State clarity: users always know what is true right now.
  • Safe recovery: failures have explicit, non-destructive paths.
  • Role handoffs: ownership and transitions are designed end-to-end.
  • Workflow simplification without lying: structure and progressive disclosure.
  • Handoff protocol and QA standards: stop regressions and drift.

Where operator tools usually fail

  • Hidden states and unclear transitions
  • Workflows that only one expert understands
  • Customizations that break repeatability
  • UI that looks fine but is operationally unsafe
  • Support as a permanent dependency

What I optimize for

  • Dependable behavior under pressure
  • Reduced support dependency
  • Resilient workflows across roles and devices
  • Faster action because states are unambiguous