Plan technical marketing for new AI feature

You are supporting a new AI technique and must plan technical marketing. What discovery questions would you ask the team before drafting a blog post (for example, target users, problems solved, baseline comparisons, latency/accuracy benchmarks, and usability goals)? How would you convince developers to adopt it, beyond raw performance, and what product aspects do developers care about most? If an engineer claims the feature improves usability, what evidence and measurements would you request? Propose concrete developer-experience metrics and instrumentation (for example, task effectiveness, task efficiency/clicks, onboarding time, code reduction, reliability/crash rates, satisfaction/NPS, and adoption/WAU), illustrating how you would measure them for both a consumer app (like streaming video) and an ML framework. What additional blog angles would you cover—such as observability (profilers/flame graphs), learnability (documentation burden), and security (data leakage risks)—and what proof would you include? Should you publish competitive comparisons against a rival accelerator vendor, and if so, what standards would you require for transparency, legal review, reproducible scripts, and respectful positioning?