01 · Clarify Diverge ✦ AI plays: Questioner

Chunking

Zoom out to the big picture or zoom in on the detail to find a better way to frame the problem.

Best for
Reframing a stuck problemtoo big to start, or too narrow to inspire
Time
15–30 minutesa few minutes per level
People
Best soloor in pairs: one asks, one answers
Difficulty
Beginnerthe sideways move takes practice
Origin
Coaching and NLP traditionbuilds on George A. Miller's 1956 “chunks”
01 What it is

Change the size of the problem, and you change the answers.

Any problem can be seen at different sizes. “Our checkout is slow” is part of something bigger (people getting what they came for) and is made of something smaller (three screens, a payment step, one form that's painful on a phone). Chunking means moving between these levels on purpose instead of staying stuck at the one where the problem first appeared.

Chunk up by asking “Why does this matter?” or “What is this an example of?” to reach the bigger picture. Chunk down by asking “What, specifically?” or “Which part?” to reach concrete detail. Then try the creative move, chunking sideways: climb to the general category, and come back down to a different example of the same thing.

Use it when a problem feels too big to start on, when it's framed so narrowly that only one answer fits, when a team is lost in detail, or when you need a fresh angle on a familiar issue.

Where it comes from. Psychologist George A. Miller used the word “chunk” in 1956 for the units in which we hold information in memory. Coaches and trainers, notably in neuro-linguistic programming, later turned chunking up and down into a deliberate way to reframe problems.
+2Big picture+1Category0Start here−1Parts−2SpecificsZoom out: why?Zoom in: which part?

Start in the middle. Zoom out to see what it's part of, zoom in to see what it's made of.

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

+2

The big picture

The ultimate purpose, or the whole system

What is this ultimately part of, or for?

  • What larger goal does solving this serve?
  • What whole system is this one piece of?
  • If you solved it perfectly, what bigger thing would improve?
App checkoutPeople getting what they came for, with as little effort as possible.
+1

The category

The general kind of problem this is

What is this an example of?

  • What kind of problem is this, in general terms?
  • Where else does this same kind of problem show up?
  • What do other examples of this kind have in common?
App checkoutFriction between deciding to buy and actually finishing the purchase.
0

The starting point

The problem as it first appeared

How would you describe the problem right now, in one line?

  • How do people usually describe it, in their own words?
  • At what level do people normally talk about it?
  • Is this the level where it's easiest to solve, or just the most visible?
App checkout“Checkout is too slow.”
−1

The parts

The pieces it breaks into

What, specifically, is it made of, and which part matters most?

  • Which steps, pieces or people make up this problem?
  • Which part causes most of the trouble?
  • Which part could you change on your own?
App checkoutThree screens: cart, address and payment. Most people who quit, quit at the address form.
−2

The specifics

A concrete example or detail

Can you give me a specific example?

  • When did this last happen, and to whom?
  • What exactly did they see, do or say?
  • What number or detail would show it clearly?
App checkoutOn a phone, the address form takes 11 taps and rejects apartment numbers with a dash.
02 Why it works

Why changing the size of a problem helps

People tend to get stuck at one level of detail. Chunking moves you on purpose.

1

Everyone has a favorite level

Some people dive straight into detail; others live among big ideas. A team stuck at one level keeps producing the same kind of answer. Moving up and down gives you access to both kinds of thinking.

2

Big problems become startable

A problem like “improve student well-being” is too big to act on. Chunking down finds a piece small enough to start on this week, without losing sight of why it matters.

3

Sideways finds analogies

Climb to the general category, then come down to a different example, and you've found an analogy. If your problem is “friction before a purchase”, how do restaurants, airports and libraries deal with the same kind of friction?

4

Narrow problems get room

A problem stated too narrowly allows only one answer. Chunking up reveals the purpose behind it, which opens up options the narrow version had quietly ruled out.

03 How to use it

Chunk a problem in five steps

  1. State it as it is 2 min

    Write the problem in the middle of a page, in plain words. This is your starting level. Leave room above and below it.

  2. Chunk up twice 5 min

    Ask “Why does this matter?” and “What is this an example of?” Write each answer on the level above. Go up two or three levels, until the problem feels broad but still meaningful.

  3. Chunk down twice 5 min

    Go back to the start and ask “What, specifically?” and “Which part?” Write the answers below. Keep going until you reach something concrete you could observe, count or try this week.

  4. Move sideways 5 min

    From a higher level, ask “What else is an example of this?” List three or four parallel cases, ideally from other fields. Each one is a source of borrowed ideas.

  5. Choose your frame 5 min

    Look at the whole ladder and pick the level where you can act and still have room for many ideas. Write it as a new Problem Statement. The best frame is often a level or two away from where you started.

✓Do

  • Write every level down so you can see the whole ladder
  • Go at least two levels in each direction
  • Make the bottom levels concrete enough to observe
  • Try the sideways move to borrow ideas

✕Avoid

  • Climbing so high the problem becomes “make life better”
  • Drilling into detail and forgetting why it matters
  • Assuming the starting level is the right one
  • Skipping the final choice of frame

What you need

A page with a ladder sketched on it, one problem and about 20 minutes. It works well with a partner who asks the questions. With AI, use the prompt below.

04 Worked example

Chunking in action: “we need a new car”

The challenge

“Our car is getting old, and every replacement we look at is too expensive.”

Subject: a family of four deciding whether to replace a 14-year-old car. Goal: reliable ways to get around without wrecking the budget. Constraint: about $9,000 saved.

5 levels · 20 minutes
+2
The big picture

A family life where everyone gets where they need to go, safely, without constant money worries.

+1
The category

Getting four people to work, school and practice every week.

0
The starting point

“Which new car should we buy?”

−1
The parts

One 12-mile commute, two school runs a day, weekend sports and one long road trip a year.

−2
The specifics

Of about 30 trips a week, most are under three miles. The commute has a bus with one transfer.

↔
Sideways

How else do families solve “getting people around”? Carpools, e-bikes, car sharing, renting for the long trips.

The new frame

The question changed from “Which car should we buy?” to “How do we cover 30 short trips a week and one long one?” The family kept the old car one more year, bought an e-bike for school runs and joined a school carpool, keeping most of the savings.

05 ✦ Go AI

Zoom in and out with an AI questioner

Chunking is easy to understand and surprisingly hard to do alone, because we keep sliding back to our favorite level. An AI partner can keep asking “why does that matter?” and “what, specifically?”, and it can suggest parallel examples from other fields when you go sideways. You decide which level is real and useful.

YouYou bring

  • The problem, and the details only you can see
  • Facts for the lower levels: numbers, real examples
  • Which bigger purpose you actually care about
  • The choice of frame to work on

AIAI brings

  • Steady up and down questions, level by level
  • Parallel examples from many other fields
  • A fresh wording of the problem at each level
  • An outside view of where you tend to get stuck
MOVE 01

Up and down

Build the whole ladder, one question at a time.

Ask me one question at a time to chunk my problem up two levels and down two levels.
MOVE 02

Go sideways

Find analogies by changing the example, not the category.

My problem is an example of [category]. Give me 6 other examples from different fields, and what each teaches.
MOVE 03

Reframe each level

See the problem restated at every level of the ladder.

Rewrite my problem as a "How might we...?" question at each level of this ladder: [paste ladder]
MOVE 04

Find the right level

Get a second opinion on which level to work at.

Which level of my ladder best balances room for ideas with the ability to act? Explain why.

Watch out for

  • It can't see the details. The lower levels need your facts, not AI's guesses.
  • Abstract can sound wise. A lofty big-picture level is useless if you can't act on it.
  • Analogies need adapting. A parallel from another field is a prompt, not a ready-made answer.
  • Protect privacy. Leave out names, money details and personal data you don't need to share.
06 Your prompt

Your chunking coach, ready to paste

Describe the problem as it looks to you right now, then copy the prompt into any AI assistant. In coach mode the AI moves you up, down and sideways one level at a time, waits for your answers and helps you choose the frame worth working on.

1 · Describe your challenge

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

2 · Choose a mode

chunking.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 Chunking