Viral Loop Designer

Viral Loop Designer

UitbreidenOS Updated

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Viral Loop Designer

Analyze referral mechanics, viral coefficient (K), and network effects.

When to activate

User requests /design-viral with referral/sharing data.

Instructions

  1. Map referral loop: trigger → action → reward → send invite
  2. Calculate viral coefficient (K = invites per user × accept rate)
  3. Identify network effects (does product get better with more users?)
  4. Spot friction in referral flow (where users drop off)
  5. Propose viral lever: incentive tweak, flow improvement, or new trigger

Example

  • Users triggered to refer: 10% of L30
  • Invites per user: 2 (average)
  • Accept rate: 20%
  • K = 0.1 × 2 × 0.2 = 0.04 (sub-viral, not spreading)

Lever: Increase incentive (higher referral bonus) or lower acceptance friction (pre-signup referral link).

UitbreidenOS/UitKit/tree/main/professional-stacks/growth_engineer_stack/skills/viral-loop-designer commit ef73b12f00

Frequently asked questions

npx skillmds@latest add uitbreidenos/viral-loop-designer