Assumption Mapping

Assumption mapping reveals critical insights by categorizing beliefs about desirability, viability, feasibility, usability, and ethics, enabling practitioners to prioritize assumptions for testing based on their importance and evidence.

The Five Categories

  1. Desirability — Beliefs about what people want or value

  2. Viability — Beliefs about resources and sustainability

  3. Feasibility — Beliefs about technical or operational possibilities

  4. Usability — Beliefs about how people will interact

  5. Ethical — Beliefs about impacts and implications

The Four Quadrants

Plot each assumption on two axes: How important is this to success? and How much evidence do we have?

Low Evidence

High Evidence

High Importance

🔴 Leap of Faith — Test these first

🟢 Safe Assumptions — Document and monitor

Low Importance

🟡 Quick Checks — Test if easy

⚪ Validated Low Priority — Move on

30-Minute Mapping Session

List assumptions (10 min) — Ask: What must be true for this to succeed? Generate as many as you can without filtering.

Plot the important ones (10 min) — Select your top 5-7 assumptions. Place each on the matrix. Don't debate placement too long—gut reactions are fine.

Plan next steps (10 min) — For each "leap of faith" assumption, identify one way you might test it. Could be a conversation, observation, small experiment, or desk research.

Testing Methods by Effort

  • Quick (hours): Desk research, asking colleagues, reviewing past data

  • Medium (days): Informal conversations with visitors/stakeholders, reviewing comparable cases

  • Deeper (weeks): Structured interviews, observation protocols, pilot programs

Adapted from Teresa Torres' work on continuous discovery and assumption testing.

Connects to: Value of Information.