SaaS Growth

Before scaling a growth strategy, I want to see a stable event taxonomy, a known activation moment, and evidence that at least one onboarding or pricing change improved retention rather than only sign-up conversion. Otherwise the team may just be moving churn forward in time.

I care about time-to-first-value, activation rate for the target persona, and retention of activated cohorts. If a team cannot answer those three questions with confidence, it is usually too early to celebrate top-of-funnel growth. Before scaling a growth strategy, I want to see a stable event taxonomy, a known activation moment, and evidence that at least one onboarding or pricing change improved retention rather than only sign-up conversion. Otherwise the team may just be moving churn forward in time.

The clearest signals usually live in speed to user value, durability of the retention effect, and clarity of experiment attribution. A good archive helps future-you compare decisions over time instead of restarting each month from a vague sense that things are improving.

Keep these nearby while you evaluate:
- Intercom on user onboarding: intercom.com/blog/user-onboarding/
Helpful for teams redesigning the first-run experience around actual user value.
- PostHog docs: posthog.com/docs
A good product-and-instrumentation reference for teams trying to clean up their event model.
- PostHog video archive: youtube.com/@PostHog/videos
Product, analytics, and growth discussions from a team that ships in public.