Browse by category—each method summarizes the idea, when it applies, and links to skills your team can run end to end. Add what you use in Hamster when you are ready.
Pricing an AI product requires working backward from unit economics — specifically the cost of each inference call or token generation — then designing tiers that align customer value with your variable costs. The best AI product pricing models combine a predictable base (seat or subscription) with a usage-based component that scales revenue as customers consume more AI capacity. This protects gross margins while letting customers start small and grow.
The North Star Metric is a single, company-wide metric that captures the core value customers receive from a product. A product manager uses it to align cross-functional teams, prioritize the product roadmap, and connect daily work to sustainable business growth. It is supported by input metrics that teams directly influence, creating focus and accountability across the organization.
The Opportunity Solution Tree (OST) is a visual framework created by Teresa Torres that helps a product manager map the path from a desired business outcome down through customer opportunities, potential solutions, and validating experiments. It ensures product teams stay outcome-focused, explore multiple solutions before committing, and use evidence from continuous discovery to make better decisions about what to build next.
The RICE framework scores initiatives by Reach (users affected), Impact (how much it moves a metric), Confidence (certainty of estimates), and Effort (work required). Score = (Reach × Impact × Confidence) ÷ Effort. Higher scores mean higher leverage on the roadmap.