Product Management courses

Browse public Product Management courses with structured lessons, visuals, and practice on Wondering.

• AI Product Decisions: From Idea to Launch

  For product managers and founders assessing AI features. Choose a suitable user problem, write a bounded feature specification with acceptance criteria, justify prompting, retrieval or fine-tuning, and balance quality, speed, cost and launch risk.

• AI Product Management: Scope, Evals, Launch

  For product managers moving into AI products. You will learn when AI beats a simple rule, how to spec error costs and success metrics, build evals without coding, weigh model cost against quality, and launch with real safeguards.

• How Superhuman Built an Engine to Find Product-Market Fit

  Rahul Vohra explains how Superhuman turned product-market fit from a vague milestone into a measurable operating system. The course covers the very-disappointed survey, segmentation around high-expectation customers, and a feedback-driven roadmap for increasing the share of users who consider the product indispensable.

• Continuous Discovery Habits

  Teresa Torres presents a transformative approach where successful product teams engage in continuous discovery alongside delivery, establishing weekly customer touchpoints as the keystone habit leading to numerous benefits. The book introduces the Opportunity Solution Tree framework for systematically mapping decisions and distinguishes between business outcomes (retention, sales) and product outcomes that teams directly influence. Described as the most influential product book in a decade, it structures five core discovery habits around continuous problem discovery, deep customer empathy, outcome-focused solutions, relentless experimentation, and evidence-based prioritization.

• When Not to A/B Test: Tess Rosania's Product Decision Frameworks

  Learn two reusable frameworks (Quantify the Firing Squad, Hypothesis Tree) plus when to anchor a decision in company worldview rather than data, using real high-stakes decisions from Twitter and Slack.

• Ocado's Roadmap Fix: Why the Real Problem Was Never the Slides

  Understand how to diagnose a broken planning process by finding the upstream data/taxonomy problem instead of fixing the visible symptom, using Ocado's roadmap overhaul as the working example.

• The Duolingo Growth Framework: Finding Your One Metric That Matters

  Learn how to build a retention-segmentation model, run sensitivity analysis to find the highest-impact metric, and design concrete product levers around it — using Duolingo's 4.5x DAU growth turnaround as the working example.

• Otomasi AI untuk Product Manager

  Tingkatkan kebiasaan *prompting* harianmu menjadi alur kerja cerdas yang otomatis merangkum dokumen, menganalisis data produk, dan menetapkan prioritas rilis secara cepat serta konsisten. * **Otomasi perangkuman dokumen PRD** dan riset pengguna * **Pipeline analisis data metrik** serta pembuatan laporan otomatis * **Sistem prioritas fitur produk** berbasis logika AI terstruktur * **Alur kerja terintegrasi** tanpa perlu keahlian coding rumit

• The Google Product Model: Strategy, Discovery, and Org Design

  Understand the specific practices behind Google's product operating model — parallel problem-solving, technical leadership structure, continuous discovery, and PM hiring — and be able to adapt them to your own product team.

• Advanced Product Requirements for PMs

  Elevate your strategic impact by mastering high-level problem framing and outcome-driven frameworks to transform complex business ambiguity into rigorous, designer-ready requirements for sophisticated SaaS environments. * **Master Jobs to Be Done** for complex SaaS workflows * **Frame ambiguous problems** into rigorous, outcome-driven requirements * **Translate business requests** into high-level functional PRDs * **Bridge design and engineering** with clear technical specs

• Mastering RICE Product Prioritization

  Build the confidence to justify every product decision and ace technical interviews by applying this data-driven scoring system to your roadmap. * **Calculate Reach and Impact** using data-driven metrics * **Estimate Confidence and Effort** to balance technical feasibility * **Rank product backlogs** for objective engineering alignment * **Explain prioritization logic** during product management interviews