How to implement PLG for indie developers (7 steps)
- Define the “first success” outcome and make it reachable in minutes.
- Remove setup steps that don’t directly enable first success.
- Instrument time-to-first-success and the drop-off points.
- Design repeat-use hooks that help users finish real work, not “engage”.
- Add upgrade triggers tied to value (limits hit, premium outcomes).
- Keep pricing simple and aligned to usage or outcomes.
- Ship weekly: improve defaults, reduce friction, and track TTV.
Common pains
These are the recurring bottlenecks we see when teams try to “do PLG” for indie developers without a stable model and measurable milestones.
- Users churn before they hit the aha moment.
- Pricing is confusing or upgrades feel arbitrary.
Activation milestones
Define activation as a small set of outcomes that predict retention or upgrade. Avoid generic “logged in” style events.
- First success outcome completed (the “aha” moment).
- Second session / repeat use.
- First limit hit or premium feature used (upgrade trigger).
Activation definition: A user is activated when they reach first success and returns for a second session within 7 days.
Time-to-value target: Under 10 minutes for first success
First success event: first_success_completed
Expansion trigger: plan_limit_hit or premium_feature_used
Instrumentation notes
Ship PLG as a system: events and traits stay stable while copy and templates evolve.
- Instrument the “first success” milestone and measure time-to-value tightly.
- Track upgrade triggers (limits hit, premium usage) as explicit events.
- first_success_completedUser completes the first meaningful outcome.Properties: time_since_signup_seconds
- repeat_sessionUser returns within target window.Properties: days_since_signup
- plan_limit_hitUser hits a limit that blocks progress.Properties: limit_name, limit_value
Pricing and packaging
- Keep plans simple. Make the paid plan a clear continuation of value.
- Monetize on usage/outcome that correlates with success, not random features.
- Hit a value-aligned limit during real usage.
- Need premium integrations/features that save time.
- Consistent repeat use indicates willingness to pay for speed or scale.
Common mistakes
- Overbuilding onboarding instead of removing setup friction.
- Optimizing signups without improving first success.
How Skene supports this motion
Skene turns your codebase into onboarding journeys, milestones, and analytics. This lets you ship PLG mechanics without wiring everything by hand.