Start with four to six inputs, not twenty. The ones that earn their place are depth of product usage (not logins), breadth across the account, support pattern, and whether an executive still shows up. Weight them, then do the honest test: score your last twelve churned accounts retroactively. If the score was green ninety days before they left, your inputs are wrong and you should rebuild rather than defend it. Segment matters too, since a healthy enterprise account and a healthy SMB account look nothing alike. Treat the score as a prioritisation tool for your week, not as a verdict.
4 hand-picked resources, 2 India-specific, 4 link-checked. Pick how you want to dig in.
Why we picked it The most complete breakdown of what goes into a health score: which four to six categories to weight, how to segment scores by journey stage, and the failure modes (too many metrics, too much subjective input).
From Gainsight 12 min read
Open gainsight.com →Why we picked it Chargebee's customer success leader answering an Indian founder's question in the SaaSBoomi community. Eight points, starting with the one most Indian startups get wrong: treating CS as an extension of support.
From SaaSBoomi by Sri Maneru 8 min read
Open saasboomi.org →Why we picked it Zoho on the two churn predictors that actually work early (usage depth and NPS) plus a worked cohort example. Written for teams without a data function.
From Zoho Blog by Adhya 10 min read
Open zoho.com →Why we picked it Walks through building the cohort table itself, and separates acquisition cohorts from behavioural cohorts, which is the distinction that turns cohort analysis from a pretty chart into a diagnosis.
From Chargebee by Shaoli Paul 12 min read
Open chargebee.com →How customer success and retention reads from a different seat.
The same ground, over in Grow & market, our Starting Up track.
The same ground, over in Grow organically & retain, our D2C track.
