Configuration sequence that avoids common integration and policy mistakes.
Why this matters
QA scenarios for booking, reschedule, cancellation, and escalation flows.
Attribution checklist for organic signup-to-activation reporting.
Post-launch operating cadence for weekly optimization.
Implementation workflow
A clear path from setup to production-grade performance.
01
Map services, durations, and policy boundaries before connecting integrations.
02
Validate all critical booking paths in staging and production test tenants.
03
Configure analytics events: sign_up, tenant_provisioned, tenant_activated.
04
Run first-week transcript and conversion review loop.
Expected outcomes
Launch reliability
Higher
Fewer missed steps and cleaner handoff from setup to operations.
Debug time
Lower
Predefined QA scenarios catch failure modes before real traffic.
Attribution readiness
Strong
Funnel events are in place from day one.
Frequently asked questions
Who should own this checklist?
Typically one implementation owner leads setup while growth/ops validates analytics and activation criteria before launch.
Should we launch without full analytics?
It is better to launch with baseline funnel instrumentation in place so you can quickly identify what is working and what needs adjustment.
How often should we review setup quality?
Run a daily check during week one, then shift to weekly optimization once behavior stabilizes.