Learn to treat product initiatives as testable hypotheses rather than guaranteed features, using a simple structure that makes your assumptions and success signals explicit. You will practise turning vague backlog items into falsifiable hypotheses and designing the smallest experiment that could prove you wrong.
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Why "certainty" is the wrong frame for product work — free to watch, no account needed.
What you'll learn
- Explain why framing product work as testable hypotheses beats framing it as certainties
- Write a hypothesis using the believe/for/achieve/signal structure
- Surface the hidden assumption inside an ordinary backlog item
- Define a clear, measurable success signal that could genuinely refute a hypothesis
- Produce a reusable Hypothesis Statement Template for your team's backlog
Syllabus
Why Hypotheses, and What They Really Are
Why "certainty" is the wrong frame for product workFree preview
The hypothesis structure — believe, for, achieve, signal
Turning Assumptions into Testable Hypotheses
Surfacing the hidden assumption in a backlog item
Defining a success signal that could prove you wrong
Applying Hypotheses to Real Backlog Work
Rewriting a backlog into hypotheses
Case study — "Add social sharing" as a hypothesis
Making Hypothesis-Driven Work Stick
Building your Hypothesis Statement Template
Common traps and anti-patterns to avoid