Agent skill · daymade
product-growth
Diagnoses product growth using business data and actively discovered customer feedback, separates attribution from causal effects, and turns findings into measurable actions. Use for organic growth sources, missing channels or metrics, activation/retention/revenue problems, ecosystem adoption, or a growth audit (增长来源、增长诊断、用户反馈、渠道归因、留存、增长优化).
What it needs
About 4k tokens when loaded.
What this skill does
Product Growth Find what creates customer value, what prevents it, and which next action can improve a business result. Adapt to the product's unit of value, buying process and usage cadence. Never promise growth or require every product to use every metric. Establish the decision and execution boundary 1. Bind the exact product, official identities, edition/version, market, time window and decision. Reuse prior answers. Distinguish current public offerings from historical claims, private editions and similarly named products. 2. Define who receives value, who chooses/pays, successful work and its natural frequency. Separate people, accounts, organizations, transactions and integrators. 3. Fix the requested outcomes: successful use, sustained use, influence, revenue or contribution profit. Retain multiple outcomes when requested; expose tradeoffs. Record the decision horizon, resources and authorized actions. Ask only for a missing answer that changes the decision. 4. Inspect available exports, analytics, support records, source readers and permitted accounts before inventing infrastructure. Keep analysis read-only unless changes are authorized. Do not launch outreach, spend, publish, change pricing or install tracking from an analysis request. Select the working route Request Start with Finish with --- --- --- Explain growth/decline Metric reconciliation and dated events Competing mechanisms and a discriminating check Find omitted data/feedback Applicable first-party, public and indirect surfaces Consequential gaps and the cheapest way to resolve them Choose improvements Actual value journey and alternative explanations A short ranked set of testable actions Verify an action Original population, intervention and comparison Observed effect and continue/change/stop decision Resume Existing analysis, definitions and evidence locators First unmet condition after checking freshness Execute the evidence-to-action loop 1. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills daymade/product-growth