Transparent health
A deterministic 0–100 model shows every weighted component and the signals behind it.
Customer signals should lead to clear decisions.
The NovaAI Customer Success Command Center demonstrates how a CS team can translate product usage, onboarding progress, engagement, sentiment, support, and commercial context into explainable health and prioritized action.
Operational prioritization
Actions balance severity with ARR exposure, renewal timing, onboarding delay, and segment.
Onboarding to value
Implementation stages, blockers, target dates, and first-value progress receive the same attention as renewals.
Retention and growth
The workflow surfaces credible expansion signals alongside churn and adoption risk.
HEALTH METHODOLOGY
Six explainable dimensions, one shared operating language
Scores are recalculated whenever demo or imported account data changes. Core scoring never depends on an LLM.
80–100 · Healthy65–79 · Monitor50–64 · At Risk0–49 · Critical
Product AdoptionSeat usage, feature depth, and product momentum30%
EngagementContact cadence and stakeholder activity20%
Value RealizationOnboarding progress, first value, and blockers15%
SentimentCustomer sentiment and CSAT15%
Support ExperienceOpen-ticket load and critical severity10%
CommercialRenewal timing, likelihood, and growth signals10%
Customer signalsUsage · engagement · support
Health & riskDeterministic, segment-aware
Next best actionPrioritized by business impact
CS interventionAdoption · renewal · expansion
AI supports the workflow—it does not make the decision.
Gemini can draft account briefs, meeting prep, health explanations, and outreach from structured account data. The application remains fully useful without an API key and falls back to concise deterministic content.