
Customer Success Management
Runs the ongoing relationship with accounts after the sale, segmenting coverage...
Install
npx skills add cbrock84/headcount --skill customer-success-management -g -a claude-code -y- Repository
- cbrock84/headcount2.6k
- Category
- Design
- Updated
- 17d ago
- License
- MIT
- Context cost
- Lightabout 1,111 tokens
- Runs scripts
- No, instructions only
What it does
Runs the ongoing relationship with accounts after the sale, segmenting coverage against account value, building a health score that predicts rather than describes, running reviews customers find worth attending, forecasting renewals honestly, and finding expansion that follows usage instead of quota. Use this to design a customer success motion, decide who gets a named contact, work out why renewals surprise you, or fix a health score everyone ignores.
Customer success management
This is the motion that keeps accounts, as distinct from diagnosing why they leave, for the
churn analysis itself, see revenue:retention. The failure this discipline exists to prevent is
finding out at renewal.
Segment coverage before hiring anyone
Coverage is a cost decision and it should be made explicitly rather than by whoever shouts.
- Named coverage for accounts where the revenue justifies a person and the relationship is genuinely complex. Fewer accounts per person than instinct suggests, a manager with sixty accounts is running a queue, not a relationship.
- Pooled coverage for the middle: a team owning a segment, working from signals rather than from a calendar.
- Programmatic coverage for the long tail: in-product guidance, lifecycle messaging, and self-service. This is not a lesser tier, it is the only one that scales, and it usually deserves more investment than it gets.
Assign by what the account needs, not only by what it pays. A large account that is live, stable and happy needs less than a small one mid-implementation.
Build a health score that predicts something
Most health scores are a weighted average of whatever was available, colored red to green, and trusted by nobody. A useful one is built backwards: take accounts that churned and accounts that renewed, and find what actually differed six months out.
- Usage depth and breadth, how many people, how often, how many of the things they bought.
- Trajectory over level. An account at 60% of expected usage and rising is healthier than one at 90% and falling. Level tells you where they are; direction tells you where they are going.
- Relationship coverage, how many people you know, and whether your only contact is the person who bought.
- Support and escalation history, weighted by severity rather than volume.


