New book — Coming Fall 2026 Get early access →

The Conversation-Based Learning Method

Stop Guessing.
Start Knowing.

From the book How to Know Which Idea to Pursue

Most teams invest months building ideas based on success-beliefs. That's risky — most ideas fail in the market because they aren't desirable enough. This book shows you how to gather success-evidence, directly from your customers, before you build anything.

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How to Know Which Idea to Pursue — on display in a bookstore
Draft The Problem

Most idea decisions are built on opinions, not evidence.

Teams invest months building products no one wants. The fix isn't more data — it's the right conversations.

01

Gut-feel decisions

Teams rely on internal opinions and HiPPOs instead of real customer evidence, leading to expensive failures.

02

Surveys miss the "why"

Quantitative data tells you what customers do, but not why they care — the insight you need to make confident decisions.

03

Building before learning

MVP-first thinking wastes months on features. Conversations cost hours and surface what matters before you write code.

Draft The Method (CBL)

Conversation-Based Learning

CBL combines structured customer conversations with AI assistance to generate strong evidence about idea desirability and willingness to pay.

1

Prepare with precision

Define learning goals, hypotheses, and customer segments. Use AI to sharpen your conversation structure before you speak to anyone.

2

Have learning conversations

Talk to real customers in learning mode — not selling, not surveying. Uncover the 'why' behind their interest.

3

Analyze for evidence

Turn conversation data into evidence with AI-assisted analysis. Separate strong signals from noise.

4

Decide with confidence

Pursue, pivot, or stop — backed by real customer evidence, not opinions.

"If you don't understand the 'why' behind customer interest, you're just collecting opinions, not evidence."
— Paris Thomas & Christian Doll
Draft What's Inside (5-Act)

A 5-Act journey from questions to decisions

10 chapters. One methodology. Everything you need to validate ideas through customer conversations.

Act 1 — Why

The Case for Evidence

Why understanding customers matters, why you must never stop learning, and why conversations beat building.

Act 2 — How

Preparation

Learning goals, hypotheses, customer segments, prototypes, value propositions, pricing strategies, and conversation design.

Act 3 — How

Execution

Securing conversations, team roles, dry runs with AI, managing conversation flow, and building learning communities.

Act 4 — What Now

Analysis & Decisions

Data quality levels, actionable insights, evidence auditing, and the pursue/pivot/stop framework.

Act 5 — Beyond

Scale & Stories

Scaling CBL, integrating technology, and real-world stories from practitioners who've done it.

Draft Workshops

Go Beyond the Book

The book gives you the methodology. Workshops let your team practice it — on real projects, with AI, guided by the authors.

Limited pre-launch workshops available

Bring CBL to Your Team

A hands-on workshop tailored to your organization. Your team works on real idea projects using AI-powered CBL workflows, with live guidance from the authors.

  • Applied directly to your team's projects
  • AI-integrated throughout
  • Online or in-person, flexible format

Join an Open Masterclass

Open-enrollment workshops for individual practitioners are coming soon. Sign up to be notified when dates are announced.

Built on Strategyzer. Extended with new methodology. Sharpened with AI. Written by practitioners.

Paris and Christian have each worked with the Strategyzer framework for over ten years. This book doesn't replace it. It builds on it — adds a new methodology, sharpens how teams use it day-to-day, and integrates AI where AI genuinely helps.

Paris Thomas

Paris Thomas

Cyprus

LinkedIn →
Christian Doll

Christian Doll

Munich

LinkedIn →

Community

Not just two authors.

100+

practitioners contributed to this book

Product managers, consultants, strategy and innovation leaders, and founders from around the world shaped this book — with stories, feedback, and experience from their own projects.

Draft Reviews

What practitioners are saying

Early reviews from consultants, product leaders, and founders who shaped the methodology.

Quote coming soon.

Reviewer & role TBA

Quote coming soon.

Reviewer & role TBA

Quote coming soon.

Reviewer & role TBA

Early chapters. AI prompt guides. Launch updates.

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