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From an earlier version of Skene. See the current product →

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CUSTOMER SUCCESS

Customer success that runs on product reality, not spreadsheets

Score health and run interventions on usage data that does not silently break when you ship, so CS teams focus on the conversations that matter.

Skene keeps the product-usage events behind your health scores complete and unbroken on every PR, then exposes them over MCP. You and your coding agent score health, detect risk, and run interventions on data you can trust.

PROBLEM

Without a system, customer success becomes reactive heroics

When health is fuzzy and work is manual, CSMs burn out, leaders fly blind, and customers only hear from you when something is on fire.

  • Customer success teams operate from scattered notes, CRMs, and dashboards that never quite agree.

  • Health scores are tuned by hand and rarely match who actually renews or expands.

  • Most CS work is reactive: escalate when a crisis hits, rather than shaping the journey proactively.

WHAT BREAKS WITHOUT THIS

Churn, NRR, and morale suffer when CS runs on anecdotes

You cannot consistently improve what you cannot see. Without a system, every quarter becomes a scramble to explain churn after the fact.

  • •Retention and NRR depend on heroic individual CSMs instead of a repeatable system.
  • •Leaders cannot see which accounts are truly healthy versus quietly drifting toward churn.
  • •Headcount becomes the only way to "scale" because every action is manual.
WHY EXISTING TOOLS FAIL

Tooling that ignores the product cannot run customer success

  • CRMs were built for sales stages, not post-sale health and lifecycle journeys.

  • Generic "CS platforms" rely on manually configured rules that decay as the product and customers change.

  • Analytics dashboards show health today, but the events behind them quietly break the moment an agent refactors a feature.

  • Vendor playbooks prescribe tasks but do not understand what success looks like in your actual product.

SKENE'S SYSTEM APPROACH

A CS system grounded in code and behavior, not manual rules

  • Anchor customer success in live product usage, not static attributes or hand-tuned guesses.

  • Skene adds the usage events you're missing and indexes them against your Supabase schema.

  • On every PR, Skene catches a write that breaks before the data is gone, so health scoring runs on real signals.

  • Your coding agent queries that trustworthy data over MCP to score health and trigger the right next action.

WHERE SKENE FITS

Trustworthy data from Skene, the CS motion from you

Skene keeps the data layer trustworthy: complete, schema-validated usage events that do not break when you ship. You and your agent own the health scoring, the interventions, and the calls only humans should make.

Skene keeps it trustworthy

  • •The product-usage events you're missing, indexed against your Supabase schema.
  • •A PR check that catches a broken or renamed usage event before the data is gone.
  • •A complete, trustworthy record of how each account uses the product, queryable over MCP.
  • •Health-signal data you can trust, without a bespoke analytics project.

You and your agent own

  • •Your health-scoring logic and the thresholds that define an at-risk account.
  • •The interventions and plays your agent runs on the data: nudges, education, upsell paths.
  • •The high-touch calls and human relationships only your CS team can carry.
SIGNALS AND OUTPUTS

Signals in

  • →Product usage events across onboarding, adoption, and key feature usage.
  • →Account composition: seats, roles, and collaboration patterns.
  • →Lifecycle state: trial vs paid, new vs established, expansion vs renewal windows.
  • →Historical outcomes such as renewals, churns, and expansion events.

Outputs

  • ←Usage events per account, validated against your Supabase schema on every PR.
  • ←A schema-validated event stream your agent turns into health scores and risk flags.
  • ←Health-signal metrics across onboarding, adoption, and retention, queryable over MCP.
  • ←A PR comment the moment a write that feeds those metrics breaks.
WHO THIS IS FOR

A good fit for

  • ✓PLG SaaS companies that want CS to be product-led instead of ticket-led.
  • ✓Small CS teams supporting a large self-serve or hybrid customer base.
  • ✓Leaders who want health to be grounded in behavior, not static account tiers.

Not a good fit for

  • ×Purely high-touch enterprise motions where every account is bespoke.
  • ×Organizations unwilling to wire even basic product usage events.
  • ×Teams looking only for a CRM replacement rather than a usage-based CS system.
RELATED LINKS

Downward → product

  • Product overview
  • Product features

Sideways → other solutions

  • Onboarding
  • Retention & churn
  • Lifecycle automation

Optional → one playbook

  • Design self-serve retention loops
GET STARTED

Ready to give your CS team a real system to run?

Connect your repository and Supabase read-only. Skene keeps your usage events honest on every PR, so the health scores and interventions your CS agent and team run rest on data you can trust.

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