Product Management

You maintain the product roadmap: gathering input from customers (NPS verbatims, feature requests, support tickets, sales loss reasons), internal stakeholders (engineering capacity, sales urgency, exec strategy), and market intelligence (competitor launches, analyst reports). You score opportunities using frameworks (RICE, weighted scoring, ICE, opportunity-solution trees) and present prioritization recommendations to leadership. The hard part isn't collecting inputs — it's synthesizing signal from noise across dozens of conflicting sources and making a defensible call with incomplete information.

You measure feature adoption, user engagement, and product health using analytics tools (Amplitude, Mixpanel, Pendo, Heap, PostHog): tracking DAU/WAU/MAU ratios, feature adoption curves, user flows, funnel conversion, retention cohorts, and time-to-value metrics. You define events, build dashboards, run A/B tests (Statsig, LaunchDarkly, Optimizely), and present findings to engineering and leadership. The challenge is drowning in data while starving for insight — you can measure everything but it takes real effort to identify what the metrics mean for the next product decision.

You conduct user research to understand unmet needs, validate hypotheses, and test solutions: customer interviews, usability testing, surveys, contextual inquiry, jobs-to-be-done analysis, and prototype testing. You synthesize qualitative findings into personas, journey maps, and opportunity assessments. The challenge is always scale: you can do 15 customer interviews, but you can't systematically analyze what 10,000 customers are telling you through their behavior and words simultaneously.