The recurring mistake is optimizing acquisition while the first-run experience remains muddy. The next one is running pricing experiments without a packaging hypothesis, which usually means the test is teaching less than the dashboard suggests.
Common traps to watch:
- optimizing acquisition while activation remains fuzzy
- running pricing tests without clear packaging hypotheses
- calling every onboarding step a growth lever
References that help correct the drift:
- Stripe SaaS pricing guide: stripe.com/resources/more/saas-pricing-guide
Solid framing for packaging, monetization models, and pricing tradeoffs.
- PostHog product analytics reference: posthog.com/product-analytics
Useful screenshots and concepts for thinking about funnels, activation, and retention visually.
This folio post is meant to be saved and revised. Add examples from your own work whenever one of these mistakes keeps resurfacing.
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