Growth Loop Architecture

Intent

• •Replace funnel-only thinking with self-reinforcing loops that compound over time.
• •Align channel, product, and community mechanics into measurable systems.

Inputs

1. •Current growth metrics (activation, retention, referrals, LTV/CAC).
2. •Channel inventory (owned, earned, paid, platform-native, on-chain incentives).
3. •Behavioral archetypes and motivations.

Workflow

1. •Loop mapping
   • •Enumerate existing loops (content, UGC, social proof, rewards, UGC marketplaces, token sinks/sources).
   • •Identify leakage points and missing steps.
2. •Loop design
   • •For each desired loop, define Trigger → Action → Reward → Investment elements and measurable KPIs.
   • •Ensure loops respect platform policies and economic constraints (app stores, blockchain gas, privacy laws).
3. •Prioritization
   • •Score loops on strategic fit, time-to-learn, defensibility, and required capabilities.
   • •Select one core loop + one accelerant loop for near-term experimentation.
4. •Experiment blueprint
   • •Specify instrumentation, success gates, and fallback plans.
   • •Align cross-functional owners (product, marketing, community, data).

Verification

• •Every loop diagram has explicit metrics and data sources.
• •Risk review covers abuse vectors, spam, and platform violations.
• •Experiment backlog reflects selected loops with timelines and owners.