PM Handbooks

Everything product managers need to build AI-powered products: from LLM evaluation and prompt engineering to responsible AI and go-to-market.

Build winning product strategies: vision setting, competitive positioning, portfolio management, pricing, and strategic communication.

Master product discovery: opportunity mapping, customer interviews, assumption testing, prototyping, and dual-track agile.

Turn data into decisions: instrumentation, funnel analysis, experimentation, cohort analysis, and building a data-driven culture.

Design self-serve growth loops: activation, onboarding, conversion, expansion revenue, and PLG metrics that matter.

Plan and execute effective product launches: pre-launch prep, launch day execution, post-launch measurement, and iteration.

Navigate organizational dynamics: stakeholder mapping, executive communication, conflict resolution, and cross-functional alignment.

Build the infrastructure for product excellence: processes, tooling, data governance, and org-wide product operations.

Level up your technical skills: API design, system architecture, technical debt management, and working with engineering teams.

Master prioritization: RICE, ICE, WSJF, MoSCoW, Kano, weighted scoring, stakeholder dynamics, backlog management, and saying no well.

Build roadmaps that survive contact with reality: roadmap types, outcome-based planning, timeframes, audiences, tooling, and change management.

Navigate the PM career: entry paths, the skill ladder, resumes, interviews, salary negotiation, promotion, and IC vs management.

Measure what matters: North Star selection, retention and engagement, unit economics, SaaS benchmarks, and metrics by business model.

Price with confidence: value metrics, pricing models, packaging, freemium economics, research methods, AI pricing, and price changes.

Do research that changes decisions: customer interviews, surveys, usability testing, JTBD, synthesis, personas, and research operations.