Recurring patterns from genomics, diagnostics, and clinical lab programs — what breaks, why, and how the system has to be designed to hold.
When the automation runs, but it doesn't run unattended
Why manual steps accumulate in liquid handling workflows, the symptoms that follow, and what walkaway automation at production scale actually requires.
Read insightWhen "where is this sample?" requires walking to the bench
Why traceability gaps appear when sample volume outgrows manual tracking, and what designing traceability into the workflow actually requires.
Read insightWhen every check passes and the run still fails
Why pre-run checks and QC gates catch overt hardware and software faults but miss the design metrics — operator interactions, manual steps, recovery actions — that actually drive run failures.
Read insightWhen "minimum viable" has to survive assay, regulatory, workflow, and adoption
Why the standard MVP framework doesn't fit diagnostic products, and the four-constraint requirements framework that actually defines defensible scope.
Read insightWhen the data AI needs is generated during every run, but never captured
Labs generate the data AI needs during every run. The problem is the workflow doesn't capture it. Here's why, and what needs to change.
Read insightWhen agreement in the room isn't agreement on the tradeoff
Why platform decisions keep getting reopened, the signs a decision won't hold, and what a shared framework and a decision record actually change.
Read insightFREE TOOL
Before selecting a platform or vendor, screen the workflow itself. Twenty-two conditions, a readiness stage, and a prioritized set of items to resolve first.
