churn-prevention

Churn Prevention

Quick Start

Use this skill for churn prevention. Start from the user’s concrete objective and available evidence; do not substitute generic marketing advice for task-specific analysis.

Skill Contract

• Reads: user-provided context; relevant project files; .agents/product-marketing.md when present; approved public or connected data sources.
• Writes: recommendations and artifacts in the response by default. Persistent file/account changes require explicit request or authorization.
• Evidence: label consequential claims as measured, user-provided, calculated, estimated, or proxy. Never upgrade uncertainty silently.
• Side effects: do not publish, send, spend, delete, mutate accounts, or persist registry truth without user authorization.
• Freshness: verify current platform rules, search eligibility, ad policies, model/tool capabilities, laws, pricing, and other time-sensitive claims before acting.

Instructions

1. Define the exact churn prevention objective, audience/scope, constraints and success metric before recommending action.
2. Load shared product-marketing context when it materially changes the answer; ask only for missing facts that block a decision.
3. Collect the minimum evidence needed for churn prevention. Distinguish direct observations from assumptions and proxies.
4. Execute the churn prevention analysis or artifact using the domain checklist below; prefer specific outputs over generic best-practice lists.
5. Prioritize actions by impact, confidence, effort and dependency. Identify what would falsify important assumptions.
6. For external side effects, publishing, sending, spend changes, account changes or persistent writes, obtain authorization first.
7. Finish with decision-ready output, evidence labels, open loops, and no more than three next-best skills.

Calibrated customer health

Map each health signal to the same 0–100 direction before weighting it. Treat missing/stale signals as unavailable; if partial scores are permitted, divide the weighted observed sum by observed weight and report coverage. All unavailable means no score, not zero or healthy. Validate thresholds against later renewal/churn outcomes. An individual 0–6 recommendation rating is a detractor classification; it is not aggregate NPS. Confirm retry schedules and billing-provider capabilities rather than copying a universal dunning sequence.