CUSTOMER SUCCESS ANALYTICS · WORKFLOW TESTING · HUMAN-SUPERVISED AI
SignalPath
An AI Customer Success copilot concept for detecting onboarding risk, investigating the broken workflow step and preparing a customer-approved recovery experiment.
Independent portfolio concept using fictional accounts and synthetic data. No hospital relationship, production deployment or measured customer outcome.
THE OPERATING PROBLEM
Account health can show that risk exists without explaining where the workflow is failing.
A Customer Success Manager needs to know which account deserves attention, which part of onboarding changed, and what should be tested before recommending a solution.
Product insight Connect the warning signal to a transparent evidence trail—not an unexplained AI answer.
SYNTHETIC SCENARIO
One account worsens; one module explains where to look.
These figures are constructed inputs for demonstrating the analysis workflow. They are not operational findings from a healthcare organisation.
Priority is directional, not predictive: it tells the CSM where to investigate first.
PRODUCT WORKFLOW
Detect the risk. Investigate the cause. Demonstrate the next step.
Detect
Rank fictional accounts using transparent trend and severity signals.
Investigate
Resolve the account warning into a module-level anomaly and human testing plan.
Demonstrate
Prepare a recovery workflow with explicit customer approvals and measurement.
WORKFLOW TESTING
Analytics identifies where to look; testing explains what may be wrong.
Reproduce the journey
Run self-service, staff-assisted and pre-visit paths.
Inspect field behaviour
Check required, conditional and repeated insurance fields.
Test device states
Compare mobile, desktop, refresh and back-navigation behaviour.
PROPOSED RECOVERY
Turn the investigation into a reviewable customer conversation.
01Simplify insurance capture in the test workflow02Add clearer guidance for required information03Compare suitable global modules or screeners04Instrument starts, completions, errors and abandonment
Approval rule: No production change is made until the customer reviews and approves the proposal.
PROPOSED PILOT
Measure whether the revised workflow helps before claiming success.
Confirm the baseline, test the revised insurance step with a defined cohort, compare performance and adopt, iterate or revert based on pre-agreed rules.
PRIMARY METRICModule completion
The percentage of users who finish the Insurance Information module.
Guardrails
- Error rate
- Staff escalations
- Time to complete
- Customer review and approval
EVIDENCE BOUNDARY
Synthetic evidence, prototype output and proposed experiment remain distinct.
The project demonstrates analysis and product reasoning. It does not claim that SignalPath has predicted churn, improved a hospital workflow or produced measured business impact.
WORKING PROTOTYPE
Follow the complete evidence trail yourself.
Review the account signal, inspect the module anomaly, complete the workflow-testing checklist and approve the proposed recovery steps.