Design viral loops for product-led growth

Design viral loops and launch growth strategies for product-led spread

Founders with product that has embedded sharing potential (calendar tools, design tools, collaborative docs) who want to design the loop smartly instead of hoping for organic viral, and need launch sequencing that maximizes early K factor.

• · Product type: has network effects? Creates shareable output? Visible usage?
• · Current sharing behavior (where users already share, what they screenshot)
• · Target K factor (users sharing × invites per share × conversion rate)

• · Viral loop type recommendation: embedded (Calendly), UGC (Canva), or casual contact (Slack)
• · K factor calculation with baseline metrics
• · Launch playbook: waitlist seeding, power user activation, day-1 go-to-market
• · Metrics to track: signups, activation rate, K factor, day-7 retention

• · Product in beta or launch-ready (not pre-product concept)
• · Baseline sharing/signup data to calculate K factor from (or willingness to measure it first week)

• · Assumes product has viral potential when it doesn't (transactional, no network effects, low LTV)
• · Counts incentive-driven sharing in K factor (distorts true viral strength)
• · Ignores friction in share flow (too many steps, unclear value prop to invitee)

• · Explicit K factor formula and typical ranges per loop type (embedded 0.5-2.0, UGC 0.3-1.0, community 0.2-0.5)
• · Clear decision tree: has network effects → embedded, creates output → UGC, visible usage → casual contact
• · Launch playbook specific: activate power users first (social proof), then broad, then respond to every comment day 1
• · Post-launch measurement focused on K factor and day-7 retention, not vanity signups