Specialty healthcare · Synthetic demos
GTM analytics for specialty healthcare software. Interactive demos exploring pipeline conversion, market prioritization, and metric governance. Each example explains its data, calculations, and limitations.
About the data These are demonstrations using synthetic data and reference assumptions. They contain no patient or company data.
Public source references describe the intended inputs. They do not establish a live data connection.
My contribution I directed development and review of this portfolio, including the query tools, QBR, and demo explanations. I prioritized calculation accuracy, reliable query handling, and clear presentation.
Two questions to start with Interactive case studies 01 Pipeline conversion / ConvertPath
Compare stage conversion and sales cycle by specialty, source, and quarter. Use the deal review to see which accounts need a closer look.
Explore the funnel →
What to inspect Stage conversion · Source comparison · Deal scoring
Keep in mind Synthetic deals. Improvement scenarios are assumptions, not recovered revenue. 02 Metric definitions & reporting adoption / NorthStar
Review competing metric definitions, named owners, and reporting adoption. Inspect statistical alerts and the checks suggested for each deviation.
Review the metrics →
What to inspect Metric registry · Adoption tracking · Statistical alerts
Keep in mind A simulated reporting environment. Alerts suggest investigations; they do not establish causes.