CS Analytics & Customer Health Dashboard
Built an end-to-end SaaS customer health scoring model across 25 accounts, combining feature adoption, NPS, TTV, tickets, and engagement data, visualized in Power BI to identify at-risk customers and support data-driven prioritization.
Year
2025
Scope
Product Analytics / Data Visualization
Client
Independent Research
Duration
2 weeks
Data product built to simulate how a CS or growth team would score and prioritize accounts using real signals.
Challenge:
CS teams often rely on gut instinct to prioritize accounts. Without a structured health scoring model, at-risk customers go unnoticed until it's too late, costing ARR and expansion opportunities.
Solution:
Designed a multi-signal customer health scoring model using feature adoption, NPS, TTV, ticket volume, and engagement data across 25 simulated SaaS accounts. Quantified ARR at risk, identified at-risk customers, and visualized everything in a Power BI dashboard, enabling data-driven CSM prioritization at a glance.
