Is the foldable iPhone true product innovation? See how PMs can assess user needs, weigh costs, and separate real value from technical hype.

Explore agentic AI security trade-offs product managers must own before launch, from permissions and human oversight to memory and recovery.

See how to define AI features that deliver user value. Validate needs, assess costs, and set reliability requirements before the team builds.

Learn how product managers can design products for both humans and AI agents with reliable APIs, permissions, errors, and workflows.

Learn how product managers can uncover invisible features that reduce friction, protect user trust, and create a stronger competitive edge.

Learn when streaks improve retention, when they create fragile engagement, and how PMs can design healthier systems around user progress.

Learn how PMs can use AI evals to diagnose output quality issues, set pass criteria, and improve AI features with less guesswork.

Audit freemium conversion points by use case to cut clutter, improve UX, and protect long-term revenue from upgrade fatigue.

Learn how product managers can move from output tracking to outcome-driven product management with metrics tied to user impact.

Learn how to spot PMF erosion early, diagnose the cause, and help your product recover before decline turns into panic.

A product manager’s guide to deciding when automation is enough, when AI adds value, and how to make the tradeoffs intentionally.

Should PMs iterate or reinvent? Learn when small updates work, when bold change is needed, and how Slack and Adobe chose the right path.