Catalogue/Tier 2 · Job Roles/Engineering & Tech

AI+ Product Managers cover

T2-30 · Tier 2 · Job Roles

AI+ Product Managers

Build the Right Things Faster with AI

Build the right things. Faster.

Your team ships features but half don't move metrics. Your week disappears into stakeholder updates, and 500 support tickets sit unsynthesised. Worse, you can't tell when AI has invented a user problem that doesn't exist. This book gives product managers the PROBE framework for AI-augmented discovery, the SHIP Protocol for research and roadmap safety, and 35 copy-ready prompts across the PM workflow. Built by an AI engineering firm for product managers whose best thinking deserves more than five uninterrupted minutes.

Tier

Tier 2 · Job Roles

Category

Engineering & Tech

Format

Guide

Updated

Q2 2026

Read full bookSee in 1 bundle

Inside

35 ready-made, market-tested prompts: user research synthesis, customer feedback mining, PRDs and user stories, prioritisation framing, roadmap narratives, launch comms
The PROBE Framework — Problem framing, Research synthesis, Opportunity mapping, Build hypotheses, Evaluate outcomes — the AI-augmented product discovery cycle
The SHIP Protocol — four-component framework for Source data classification, Hypothesis integrity, IP and roadmap confidentiality, Participant consent scope
A user research synthesis workflow that processes 40 transcripts in two days — with theme stability intact
A 30-day plan for APMs, senior PMs, group PMs, and heads of product across SaaS, consumer, and enterprise

Who this is for

Product managers at any level (APM, PM, Senior PM, Group PM, Director of Product, Head of Product) working on software or digital products — in startups, scale-ups, enterprise tech companies, or product-led divisions of non-tech organisations.

Also for:Product owners, product marketing managers, founders acting as de facto PMs, UX researchers who now operate inside product teams, engineering managers collaborating closely with PM counterparts, and new PMs transitioning in from adjacent disciplines (design, engineering, strategy, support).

You’ll be able to

Run an AI-augmented product discovery cycle from problem framing to hypothesis
Synthesise qualitative and quantitative user research with AI without distorting participant voice
Draft PRDs, specs, user stories and acceptance criteria with AI and evaluate them against the TRUST Framework
Frame prioritisation tradeoffs and roadmap narratives for engineering, design and executive audiences
Apply the SHIP Protocol to protect user research data, unreleased roadmap and competitive intelligence in AI workflows

What’s inside

Diagnostic: How AI-ready are you as a product manager?
Chapter 1: AI in Product Management Right Now (State of Play)
Chapter 2: How AI Changes Product Management Work
Chapter 3: Prompting for Product Managers
Chapter 4: PROBE: An AI-Augmented Product Discovery Cycle
Chapter 5: User Research and Synthesis
Chapter 6: Customer Feedback, Analytics and Market Signals
Chapter 7: PRDs, Specs and User Stories
Chapter 8: Prioritisation, Roadmaps and Stakeholder Communication
Chapter 9: Launching, Measuring and Learning
Chapter 10: SHIP Protocol: Safety, Data and Disclosure
Chapter 11: The AI-Era Product Manager
Back matter: Skill Summary · Recommended Next Reads · Glossary · Tool Reference

Built by an AI engineering firm — for product managers whose best thinking deserves more than five uninterrupted minutes.

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