Product Management courses

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

  • Evaluating LLMs for Product Decisions

    Master the mechanics of transformers to confidently assess AI capabilities, ensuring your design choices are backed by a technical understanding of large language model performance and limitations. * **Transformer architecture fundamentals** to grasp model logic and constraints * **Performance benchmarking** using qualitative and quantitative evaluation metrics * **Context window trade-offs** for cost and latency optimization * **Tool selection frameworks** tailored for specific product design goals

  • 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

  • The AI Opportunity Audit

    A method for product designers who have an AI feature on the roadmap and no evidence about whether it should exist: decompose the workflow, probe model capability with real tasks instead of demos, diagnose which layer actually failed, and defend a build, constrain, or reject decision.

  • Finding Product-Market Fit

    A practical course for founders and product teams on turning customer pain into traction, based on David Rusenko's YC talk about how Weebly found product-market fit.

  • Hooked: How to Build Habit-Forming Products

    Nir Eyal explains the Hook Model—Trigger, Action, Variable Reward, and Investment—and how product teams can use it to encourage repeated behavior while considering the ethics of habit formation.

  • The Arc Product-Market Fit Framework

    Sequoia Capital's Arc Product-Market Fit Framework explains how startups reach fit through three distinct paths—Hair on Fire, Hard Fact, and Future Vision—and how founders can evaluate fit with four recurring questions.

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

    Rahul Vohra explains how Superhuman measured product-market fit with the very-disappointed survey, identified its highest-expectation customers, and converted segmented feedback into a focused product roadmap.

  • The Mom Test

    Rob Fitzpatrick shows founders how to learn from customer conversations without inviting compliments or hypothetical promises, using past behavior, concrete problems, and real commitments as stronger evidence than opinions.

  • Build a Product-Market Fit Engine

    An expert course for startup founders on turning product-market fit from a vague feeling into a measurable operating system, grounded in Superhuman's survey, segmentation, and roadmap method.