Experiment design and evaluation (A/B testing, controlled rollouts, interpreting results)
User funnel analysis (identifying where users drop off and why)
Data literacy (metrics definitions, dashboards, basic statistical thinking, asking the right questions)
Strong product sense (understanding user needs and designing simple improvements that remove friction)
Prioritization and decision-making (choosing the highest-impact work with limited time/people)
Cross-functional leadership (aligning engineering, design, marketing, analytics, and customer teams)
Lifecycle and retention thinking (how to bring users back through product value, not just reminders)
Customer acquisition basics (channel concepts like paid search/social, SEO, partnerships—enough to collaborate well)
Communication and storytelling with metrics (clear updates, decision memos, and experiment readouts)
Ethical and privacy-aware growth (consent, respectful messaging, avoiding dark patterns)