Continuous Discovery Assumption Matrix

A structured 45 minute framework to extract, plot, and prioritize product assumptions based on importance and evidence.

4 time blocks, 45 minutes in total.

Time blocks

  1. Opportunity Story Review: 8 min
    Review the target outcome and list implicit claims about user behavior
  2. Five Dimension Sorting: 10 min
    Group assumptions into desirability, usability, and feasibility
  3. Impact and Evidence Placement: 12 min
    Plot each item by importance versus current evidence strength
  4. Top Quadrant Experiment Design: 15 min
    Define quick experiments for high importance low evidence items

About this routine

The continuous discovery assumption matrix is a practice popularized by product discovery experts like Teresa Torres. It helps product teams shift from testing whole ideas to testing the specific underlying assumptions that make or break a feature.

Instead of building a full prototype for every concept, teams extract individual claims across desirability, usability, feasibility, viability, and ethics. They then place these claims on a two by two grid comparing importance against existing evidence.

This 45 minute session isolates leap of faith assumptions in the top quadrant where importance is high and evidence is low. Running this exercise ensures research time goes directly toward answering the most urgent unknown questions.

Why this routine works

  • Prevents waste by testing isolated assumptions rather than full prototypes
  • Highlights critical knowledge gaps before engineering investment begins
  • Creates transparent alignment across product, design, and engineering

FAQ

What is a continuous discovery assumption matrix?

It is a two by two grid that maps product assumptions along two axes: importance to success and current evidence available.

How long does an assumption testing session take?

A focused session takes 45 minutes to extract claims, map them on the grid, and select top items for testing.

Which assumptions should be tested first?

Focus on leap of faith assumptions that fall into the high importance and low evidence quadrant.

Sources

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Updated August 2026

Compiled from public sources and reviewed before publishing.