Browser-local proof-of-method demo · Synthetic specimen data · Technical inspection only
This is a public-safe proof-of-method surface for TraceRank. Load the built-in specimen dataset or upload your own JSON event data to inspect how staged onboarding sessions translate into structured activation diagnostics. The paid commercial offer remains the live TraceRank Founding Audit at app.gettracerank.com.
Everything stays in the browser. This proof-of-method demo accepts JSON using the sample schema below. The paid audit accepts CSV with user_id, session_id, event_name, stage, and occurred_at.
Load the specimen dataset to populate the prototype outputs.
Sessions analyzed
0
No data loaded yet.
First-value rate
—
Loads after analysis.
Median time to first value
—
Loads after analysis.
Executive Decision Block
No diagnosis loaded yet
Load the specimen dataset or upload JSON to generate a directional readout.
Primary Diagnostic Readout
Collapse point pending
The prototype will identify the stage where the journey most commonly fails before activation.
Signal Layer
Volatility · Drift · Abandonment
Signals load after analysis.
Action Block
Fastest directional intervention path
Load data to generate ranked intervention priorities.
Collapse Map
Where the journey starts failing
Load data to see the dominant collapse pattern and business risk.
Ranked Fix List
Prioritized by severity and activation distance
Load data to generate ranked fixes.
Session inspector
Choose a session
The selected session timeline will appear here.
Activation Trace
Single-session path
Select a session to inspect event progression, idle gaps, and the moment activation or abandonment occurs.
Measurement OS
Directional metrics used in this demo
Activation rate
Median time to first value
Stage abandonment concentration
Repeated-effort rate
Event Taxonomy
Expected staged event model
VisitCreate AccountVerifySetupFirst Value
Reliability Block
Directional, not overstated
This public demo is synthetic and browser-local. It is designed to demonstrate method shape, not claim benchmarked production validity or customer outcomes.