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Assumption busting: test the beliefs behind the problem.

Some limits are real. Others are habits, guesses, or inherited rules. Separate them before you search for a better way.

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When the method helps

Use it when every proposed solution depends on the same belief: “we need a bigger advertising budget,” “customers only buy in person,” or “the process must happen in this order.” This method helps you find testable alternatives without pretending that genuine constraints have disappeared.

If the existing idea is sound and needs changes, try SCAMPER. For predictable failure risks, try reverse brainstorming.

How to challenge assumptions productively

  1. Surface the beliefs. Ask what the proposed solution assumes about customers, channels, resources, and success. Include assumptions that have never been said aloud.
  2. Check the evidence. Label a claim as known, uncertain, or a belief. Record what supports it and what would change your mind.
  3. Challenge selectively. Choose consequential assumptions you could test. Respect legal, safety, and agreed practical constraints.
  4. Develop alternatives and tests. Explore before evaluating. A useful next step reduces an uncertainty rather than merely confirming a preference.

Worked example: alternatives to expensive marketing

An online pottery teacher spends more on advertising than they can sustain. Their new budget is $150 a month, they can spend three hours a week, and the course price is fixed. Those are planning constraints. The belief “we must buy ads to find learners” can be tested.

AssumptionEvidence statusAlternativeSmall test
Only paid ads bring new learners.Uncertain: current tracking covers ads, not other sources.Partner with a pottery supply shop for a beginner demonstration.Ask two shops about a small co-hosted event; use a distinct sign-up link.
Learners need a polished video before joining.Belief: nobody has asked prospective learners.Offer a live 20-minute sample lesson or a short technique guide.Invite ten interested people; ask which format helps them decide.
A larger audience always beats a focused audience.Uncertain: follower totals do not show qualified interest.Share a useful tutorial with a local makers group or a specialist newsletter.Try one relevant group with permission and track course inquiries.

Keep the alternatives open

For the first assumption, also consider referrals from past learners. For the second, compare a written guide with the live lesson. For the third, compare a specialist audience with a small broad-audience experiment. These alternatives keep the session from jumping immediately to its first idea.

Using feasibility, cost, and qualified interest, shortlist a shop partnership, a live sample, and a past-learner referral invitation. No option is guaranteed to beat advertising; the test should reveal whether people with relevant interest respond.

Next uncertainty test

The teacher asks two supply shops about a beginner demonstration during the next week. Record willingness to host, preparation time, and qualified sign-ups. A useful first signal is a willing partner and five interested learners within the three-hour weekly limit. If neither shop is interested, review fit and audience before ruling out all partnerships.

Common mistakes

  • Treating an opinion as a fact. “Customers hate email” needs evidence. Record whose customers and which kind of email.
  • Ignoring fixed constraints. Challenging beliefs does not remove an agreed budget or safety requirement.
  • Testing a minor uncertainty first. Prioritize the belief that would most change your decision if it were false.

Try this method on your challenge

01 Set up your session

Only the problem is required
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02 Your session plan

SCAMPER

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    Describe your challenge on the left, or try an example. Your complete, editable prompt will appear here.

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