Skills

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.
Read the whole SKILL.md on GitHub

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