02 · Ideate Diverge ✦ AI plays: Generator

Unfolding

Reveal a problem to fresh minds one layer at a time, so their first assumptions can't box them in.

Best for
Over-familiar problemswhen everyone already has a fix in mind
Time
45–75 minutesabout 10 minutes per layer
People
Fresh group + facilitator4–8 people new to the problem
Difficulty
Intermediatethe facilitator must plan the layers
Origin
Classic facilitation methodused with fresh or outside groups
01 What it is

Reveal the problem one layer at a time, so minds stay open.

The moment people hear a problem, they start matching it to solutions they already know. Unfolding delays that moment. A facilitator who knows the real problem gathers a group who don't, and starts the conversation far away from it, with a broad, human theme.

After each round of ideas, the facilitator reveals one more layer of detail, moving the group closer to the real situation. Only at the end is the actual problem stated. By then the group has explored widely, and ideas from the early, open rounds can be carried down and adapted.

Use it when a problem is so familiar that everyone has fixed views, when experts keep proposing the same solutions, or when you want a fresh group's thinking without loading them with your own biases first.

1Theme2Wider world3Situation4Specifics5Problem

Start wide and reveal the problem one layer at a time. Ideas from every layer flow down to the final question.

Choose a part of the diagram or a tab to explore each layer.

1

The outer theme

A broad idea that sits far above the problem

What big, human theme sits behind this problem?

  • Which universal need does it touch: belonging, energy, trust?
  • What would anyone, anywhere, say about this theme?
  • Which situation from a completely different world shares it?
Waiting room“What makes time feel like it flies?” Stories, games, good company, knowing what's next.
2

The wider world

The general area the problem lives in

What happens in the broader area your problem belongs to?

  • Where else does this kind of situation show up?
  • Who handles it well, and how do they do it?
  • What do people love and hate about it in general?
Waiting room“Waiting in public places.” Theme parks entertain their lines; airports post live updates.
3

The situation

The kind of setting, without the specifics

What's special about this kind of situation, and the people in it?

  • How do people feel when they're in this situation?
  • What do they need that they don't usually get?
  • What makes this setting different from the wider world?
Waiting room“Waiting when you're worried.” People want to know what's happening and to feel noticed.
4

The specifics

The real setting, minus the final question

What changes when you add the real place, people and constraints?

  • Which earlier ideas still fit now that the details are known?
  • What do the real constraints rule out, and what do they suggest?
  • What would the people in this place say they need?
Waiting room“A small clinic where the wait is often 40 minutes.” Earlier ideas meet reality.
5

The real problem

Reveal the question and harvest the ideas

Now that you know the real problem, which ideas from every layer could solve it?

  • Which early, far-out idea could work here with a twist?
  • What new ideas come from seeing the whole path at once?
  • Which ideas would never have appeared if you'd started here?
Waiting room“Make the wait feel shorter.” A live queue screen and a text when you're next came from layer 2.
02 Why it works

Why holding back the problem helps

Unfolding works by delaying the moment when people's existing assumptions lock in.

1

First framings stick

The first version of a problem people hear tends to anchor everything that follows: later ideas stay close to it. Starting broad means the group's first anchor is a wide theme, not a narrow problem with an obvious fix.

2

Wide rounds build raw material

Ideas about a broad theme (what makes time fly, what helps a morning go well) can't be dismissed as unrealistic, because there's no reality yet. They become a stockpile of angles you can adapt later.

3

Fresh minds see differently

People who don't know the history don't know what “won't work”. Holding back the details protects their outsider view, which is exactly what you invited them for.

4

Each layer reframes the last

Moving down one level at a time lets the group test earlier ideas against new details. Many good solutions turn out to be an early idea, reshaped by a later constraint.

03 How to use it

Run an Unfolding session in six steps

  1. Write the real problem 10 min

    Before the session, the facilitator writes the actual problem in one sentence and keeps it private. It's where the group will arrive at the very end.

  2. Plan the layers 15 min

    Work backward from the problem to 3–5 broader layers, ending with a wide, human theme. Each layer should add one meaningful piece of detail. Write one open question for each.

  3. Gather a fresh group beforehand

    Invite 4–8 people who don't know the problem: colleagues from other teams, users, friends of the project. Tell them only that you'd value their creative help.

  4. Run the outer layer 10 min

    Open with the broadest question and generate ideas freely. Capture everything on the wall. Resist dropping hints about where it's heading.

  5. Unfold, round by round 10 min each

    Reveal the next layer, ask its question and generate again. Before moving on, ask which earlier ideas still apply or could be adapted. Keep every idea visible.

  6. Reveal and harvest 15 min

    State the real problem. Ask the group to sweep the whole wall for ideas that fit, combine them, and shortlist the best with a quick NUF Test.

✓Do

  • Script every layer and its question in advance
  • Invite people who truly don't know the problem
  • Keep ideas from every layer visible to the end
  • Let the group enjoy the far-out early rounds

✕Avoid

  • Hinting at the real problem too early
  • Layers that jump straight from abstract to specific
  • Throwing away early ideas as “off-topic”
  • A group that already knows the answer you want

What you need

A facilitator's script with 3–5 layer questions, a long wall with one column per layer, sticky notes and an hour. With AI as an extra fresh mind, use the prompt below.

04 Worked example

Unfolding in action: the breakfast nobody eats

The challenge

“Most of our students skip breakfast, and by second period half the class is running on empty.”

Subject: breakfast at a 1,200-student high school. Fresh group: six parents from a nearby district, a café owner and a soccer coach. Constraint: the cafeteria opens only 25 minutes before first bell.

5 layers · 70 minutes
1
Theme

“What helps anyone start the day well?” Ideas: routine, a friendly face, something to look forward to, no decisions to make.

2
Wider world

“How do teenagers start their days?” Late nights, rushed mornings, no appetite at 7 a.m., and hating to look as if they need help.

3
Situation

“The 20 minutes before first period at a big school.” Crowded buses, friends at the gate, nobody walks to the far end. Idea: bring things to the buses.

4
Specifics

“Food in those 20 minutes, with a cafeteria open for 25.” Ideas: grab-and-go bags, eating in homeroom, music and a friendly face at the door.

5
Real problem

“How might more students eat breakfast?” Favorites: a cart at the bus drop-off, and a second breakfast after first period for late appetites.

The haul

62 ideas across five layers. Two of the three favorites grew from layers 2 and 3, before anyone knew the topic was breakfast.

The three ideas the school will pilot

Grab-and-go cart at the buses
NEWUSEFULFEASIBLE
Second-chance breakfast
NEWUSEFULFEASIBLE
Homeroom breakfast club
NEWUSEFULFEASIBLE
05 ✦ Go AI

Let AI be a fresh mind in the room

Unfolding needs people who don't know the problem yet, which is hard to arrange and impossible to repeat. An AI can play that role on demand, as long as it hasn't been told the real problem. You stay the facilitator: you plan the layers, reveal them in order and decide which ideas carry forward.

YouYou bring

  • The real problem, kept secret until the end
  • A well-planned path from broad theme to detail
  • Judgment on which early ideas still fit
  • Real constraints and the people who'll decide

AIAI brings

  • Wide-ranging ideas at every layer, on demand
  • Analogies from fields far from your problem
  • Help stepping down when a layer jump feels big
  • A final sweep linking early ideas to the problem
MOVE 01

Plan the layers

Use one chat to design the layers, then a brand-new chat to run them.

My problem is X. Suggest 4 broader layers above it, from a universal theme down, with one question each.
MOVE 02

Blind rounds

In the fresh chat, give one layer at a time and never reveal the destination.

Give me 12 ideas for this question: what helps anyone start the day well? Don't guess what it's for.
MOVE 03

Carry forward

After each new layer, ask which earlier ideas still fit or could be adapted.

Here's more detail. Which of your earlier ideas still apply, and how would you adapt them?
MOVE 04

Big reveal

State the real problem and ask for a sweep of every idea from every layer.

The real problem is X. Go through every idea from every layer and propose the 5 best adaptations.

Watch out for

  • Don't leak the problem. Run blind rounds in a new chat with memory off, so the AI starts fresh.
  • Generic themes, generic ideas. Make each layer question vivid enough to spark real stories.
  • Still invite humans. AI is a useful fresh mind, but real outsiders bring real experience.
  • Check against reality. Once the constraints are known, test AI's ideas against them yourself.
06 Your prompt

Your Unfolding coach, ready to paste

Describe the real problem, pick a mode, then copy the prompt into Claude, ChatGPT, Gemini or Copilot. In coach mode the AI plans the layers with you, then helps you run them round by round, adding outsider ideas without giving the problem away.

1 · Describe your challenge

The more specific you are, the better the result. The prompt updates as you type.

2 · Choose a mode

unfolding.prompt
3 · Paste it into any AI assistant, or open it directly: Open in Claude ↗ Open in ChatGPT ↗

The “Open in” links put the prompt in the web address. If your challenge includes anything sensitive, copy and paste instead.

Keep going: follow-up prompts

After the session, click one to copy it, then paste it into the same chat.

Keep exploring

Tools that pair well with Unfolding