LLM Evaluations for Product Managers
Packt Publishing Limited (Verlag)
978-1-80669-407-5 (ISBN)
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Key Features
Learn how to evaluate LLMs for user value, not just technical performance
Apply proven frameworks and tools to shape product strategy and execution
Build evaluation-first teams that adapt quickly to AI advancements
Book DescriptionBuild AI products that don’t just function—they deliver results. This book shows product managers how to drive business value with LLMs through evaluation-first decision making. You’ll learn to move beyond traditional metrics and implement strategic evaluation approaches that match real user needs, drive product iteration, and support scalable success.
With case studies from GitHub, Duolingo, and Notion, you’ll discover practical tools to assess model performance, optimize product-model fit, and prioritize features based on measurable outcomes. The book provides battle-tested templates, evaluation canvases, and decision trees that help you quickly translate insights into action.
You’ll explore frameworks for human-in-the-loop evaluation, LLM-as-a-judge automation, and A/B testing, all within real product development workflows. Written by a seasoned AI product leader with experience across high-stakes enterprise environments, this guide bridges the gap between model performance and business impact.
By the end of this book, you’ll know how to design scalable evaluation systems, communicate results that influence stakeholders, and future-proof your AI strategy in a rapidly evolving landscape.What you will learn
Assess LLMs based on user impact, not just technical metrics
Build evaluation datasets aligned to real product use cases
Implement hybrid methods combining automation and human judgment
Use evaluation data to guide feature prioritization and roadmaps
Design infrastructure to scale evaluation practices across teams
Communicate evaluation results to drive strategic decisions
Adapt evaluation strategies to fast-evolving AI capabilities
Who this book is forProduct managers building AI or LLM-based features who want practical evaluation frameworks that connect models to measurable business value. Also ideal for engineering managers and AI team leads driving evaluation strategy in fast-moving AI environments. A working knowledge of product development and collaboration with technical teams is required.
James Corcoran is Head of AI at STAC, where he leads evaluation strategies for financial AI products. With 15+ years of experience building scalable, high-impact ML systems in enterprise settings, he previously served as SVP Product and Engineering at KX and CTO at First Derivative. A recognized speaker on AI product strategy, James brings deep expertise in aligning AI development with business goals.
Table of Contents
The New Frontier: Why LLM Evaluation is Now a Core PM Skill
The PM's Evaluation Toolkit: Essential Concepts and Strategic Frameworks
Choosing Your Evaluation Strategy: Automated, Human-in-the-Loop, and Hybrid Approaches
Building Evaluation Datasets That Predict Real-World Success
Human-in-the-Loop Evaluation: When and How to Scale Human Judgment
Automated Evaluation at Scale: LLM-as-a-Judge and Beyond
Evaluation Infrastructure: Building vs. Buying for Product Success
Rapid Product Discovery: Lean Evaluation for Fast Iteration
Measuring Product-Model Fit: When Your LLM Delivers User Value
Evaluation-Driven Feature Prioritization and Roadmap Planning
Safety and Responsible AI: Evaluation for Trust and Compliance
Evaluating Complex Systems: RAG, Agents, and Multi-Turn Experiences
Model Evolution and A/B Testing: Managing LLM Transitions
Building Evaluation-Driven Product Teams and Culture
Scaling Evaluation Practices: From Team to Organization
Communicating Evaluation Results: From Data to Strategic Decisions
Future-Proofing Your AI Products: Adaptive Evaluation for Emerging Technologies
| Erscheinungsdatum | 29.10.2025 |
|---|---|
| Verlagsort | Birmingham |
| Sprache | englisch |
| Maße | 191 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Wirtschaft ► Betriebswirtschaft / Management ► Logistik / Produktion | |
| ISBN-10 | 1-80669-407-7 / 1806694077 |
| ISBN-13 | 978-1-80669-407-5 / 9781806694075 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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