Thinking models in practice: six thinking hats

Six thinking hats is a method for looking at one question from six angles, one at a time: white for facts, red for feelings and instinct, black for risks, yellow for value, green for new ideas and blue for managing the process and deciding the next move. Its point is separation — not arguing optimism against caution in the same breath.

Part of Thinking models in practice, a short series on classic methods and how to run them on your own material.

Where it comes from

Edward de Bono introduced the method in his 1985 book Six Thinking Hats. He called the underlying idea "parallel thinking": instead of two people arguing from opposite positions, everyone looks in the same direction at the same time — all at the risks, then all at the value — so each angle gets a full hearing.

The six hats

• White — what we know. Facts, figures, and what is missing. No interpretation.
• Red — what we feel. Gut reactions and unease, stated without justification. This hat legitimises instinct instead of letting it hide inside "objective" objections.
• Black — what could go wrong. Risks, weaknesses, reasons for caution.
• Yellow — what is the value. Benefits and why it might work, argued as seriously as the risks.
• Green — what else could we try. Alternatives, experiments, variations.
• Blue — what do we do next. Summarise, decide, plan the next step.

How to run it

1. Frame one question. Specific enough that it could go either way.
2. Go through the hats one at a time. A few minutes each. Everyone wears the same hat at the same time.
3. Do not skip red. It is the one people find awkward, and often the one that explains why a meeting has been stuck.
4. End with blue. The output is a decision or a next step, not six lists.

The order is flexible; a common one is white, red, yellow, black, green, blue. Starting with black tends to kill ideas before yellow has had a turn.

A worked example

Question: how can an open-source project with no marketing budget find its first 100 users?

• White: it solves one specific problem; there is no budget; the existing audience is unknown; "user" is not yet defined.
• Red: 100 feels achievable; direct outreach feels awkward; there is unease about being ignored.
• Black: broad messaging attracts the wrong users; launch attention fades fast; vanity metrics can hide poor adoption.
• Yellow: a narrow, useful tool spreads by referral; open development earns trust; a small cohort improves the product.
• Green: recruit around one painful workflow; turn the documentation into discovery; borrow distribution through integrations.
• Blue: define an active user, choose one segment, test for a short cycle, then widen.

The conclusion — fit before reach — came from black and yellow disagreeing in public instead of in someone's head.

The worked example above, as six thinking hats on the canvas: six cards and a summary that names the tension between them.

Running it with AI

The method suits AI well because the hats are fixed and the work is to fill them in. An AI will happily produce a red hat — "the first 100 feels achievable" — which a team might never say out loud. What it cannot do is know your feelings; treat its red hat as a prompt to say yours.

In MindMax, six thinking hats is one of the built-in "diverge" skills on the canvas, and it always comes back as six cards plus a summary that names the tension between them. Each line on a hat card has its own skill button, so you can dig into one risk, or run a red team on the most promising green idea, without disturbing the rest.

Where it goes wrong

• It becomes a ritual. Six lists and no decision. The blue hat exists to prevent that.
• The question is too broad. "Our strategy" gives you six hats of generalities.
• Black dominates. In most teams caution sounds smarter than enthusiasm. Give yellow the same time.

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Part of thinking models on the canvas. Previous: SCAMPER. Next: the decision matrix.