01 · Clarify Converge ✦ AI plays: Questioner

Is / Is Not

Draw a sharp line around a problem by asking where it shows up and where it doesn't.

Best for
Diagnosing and scopingfaults, complaints and fuzzy project briefs
Time
20–40 minuteslonger if you need to gather facts
People
Best soloor with one or two people who know the facts
Difficulty
Beginnerneeds patience more than skill
Origin
Kepner and Tregoe, 1960sfrom their book The Rational Manager
01 What it is

Find the edges of a problem, and the clue hiding there.

Is / Is Not is a two-column table. On the left you record what, where, when and to whom the problem is happening. On the right you record the closest things, places, times and people where it could be happening, but isn't. That second column is the clever part. Most of us describe problems only by their symptoms, never by their limits.

Comparing the columns does two jobs. For a fault or a complaint, it points toward the cause: whatever is special about the “is” side, and missing from the “is not” side, is your best clue. For a project, it sets the scope: what you will work on, and what you deliberately won't.

Use it when something is going wrong and nobody knows why, when a problem seems to be “everywhere”, or when a project's scope keeps growing and you need to agree on what's in and what's out.

Where it comes from. The method is best known from Charles Kepner and Benjamin Tregoe, whose 1965 book The Rational Manager taught managers to specify a problem by what it is and what it is not. It is still widely used in quality and engineering troubleshooting.
IsIs notWhatStudent Wi-FiWired desktopsWhereBack reading roomFront of the libraryWhenLunch, since spring breakMornings, after schoolWhoAnyone, when it's crowdedSame students, quiet roomHow much2–5 minute dropsA full outage

Library Wi-Fi: the clue lives in the contrast. Only the back room, only at lunch, only when it's full.

What

What

The thing affected, and similar things that aren't

What exactly has the problem, and what similar thing doesn't?

  • Which object, product, service or system shows the problem?
  • What closely similar thing could have it, but doesn't?
  • What exactly goes wrong, and what never goes wrong?
Library Wi-FiIs: the student Wi-Fi network. Is not: the wired desktop computers in the same room.
Where

Where

Places, steps or channels

Where does it show up, and where nearby could it show up but doesn't?

  • In which place, step or channel do you see it?
  • Where nearby, or in a similar setting, is it absent?
  • Where on the thing itself does it appear?
Library Wi-FiIs: the library's back reading room. Is not: the front of the library, 50 feet away.
When

When

When it started, how often, and when it's absent

When does it happen, and when could it happen but doesn't?

  • When was it first noticed, and what changed just before?
  • Is it constant, rising, or does it come and go?
  • At what time, day or stage is it never seen?
Library Wi-FiIs: lunchtime, since spring break. Is not: mornings, after school, or before spring break.
Who

Who

People who have it, and similar people who don't

Who experiences it, and who in a similar position doesn't?

  • Who reports it, and who is affected without reporting it?
  • Who does the same thing, in the same place, without the problem?
  • Is it tied to one team, shift, role or type of customer?
Library Wi-FiIs: anyone in the room when it's crowded. Is not: the same students when the room is half empty.
Size

How much

Size, number and trend

How big is it, how many are affected, and is it growing?

  • How many cases, people or items are affected?
  • How bad is each case, and is it getting worse?
  • How big could it be, but isn't?
Library Wi-FiIs: drops of 2–5 minutes, worse as the room fills. Is not: a full outage, or all day long.
Clue

What's different?

Compare the columns to find the clue

What is true of everything on the “is” side, and missing from the “is not” side?

  • What is unique or special about the “is” side?
  • What changed on the “is” side around the time it started?
  • Which possible cause explains every row? Which can't?
Library Wi-FiSince spring break the room is open at lunch, and 40 laptops now share one wireless access point.
02 Why it works

Why the “is not” column is so powerful

Describing what a problem isn't feels odd at first. It's also one of the fastest ways to stop guessing.

1

Limits are clues

A problem that appears in one room but not the next, or on one shift but not another, is telling you something. The boundary between “is” and “is not” is exactly where the cause tends to be found.

2

It tests theories before you act

A true explanation has to account for both columns. If a suspected cause would also affect the “is not” side, it's probably wrong. That saves you from expensive fixes based on a hunch.

3

It calms the blame game

Facts laid out in two columns are hard to argue with. Instead of debating whose fault it is, people work from a shared, neutral picture of exactly what is happening.

4

It stops scope creep

Writing down what you won't tackle is as useful as writing down what you will. A clear “is not” list protects a project from growing until nobody can finish it.

03 How to use it

Build an Is / Is Not table in six steps

  1. Name the problem 2 min

    Write a short, factual description at the top: “Checkout fails on the app,” not “The app is broken.” Draw two columns below it, headed Is and Is Not.

  2. Fill the Is column 5–10 min

    Record what, where, when, who and how much the problem affects. Be precise, and stick to what you've seen or measured rather than what you suspect.

  3. Fill the Is Not column 5–10 min

    For each row, name the closest comparison where the problem could happen but doesn't. The nearer the comparison, the more useful it is: the room next door beats a building across town.

  4. Look for what's different 5 min

    For each row, ask what is special about the Is side. Ask, too, what changed on that side around the time the problem began. List every difference and change you find.

  5. Test your theories 5 min

    Check each possible cause against every row. A true cause explains why the problem is where it is, and why it isn't where it isn't. Cross out any cause that can't do both.

  6. Confirm before you fix this week

    Check the surviving cause with a small, safe test before rolling out a fix. If you're scoping a project instead, the Is column becomes your brief and the Is Not column its limits.

✓Do

  • Use facts you've seen or measured, not hunches
  • Choose the closest possible comparisons
  • Ask what changed just before it started
  • Keep the finished table visible while you discuss causes

✕Avoid

  • Naming a cause before both columns are filled
  • Vague entries like “sometimes” or “some users”
  • Comparisons so far apart they reveal nothing
  • Ignoring a fact because it doesn't fit your theory

What you need

A whiteboard or page split into two columns, whatever facts you can gather and 20–40 minutes. With AI, use the prompt below to build the table together.

04 Worked example

Is / Is Not in action: a sudden drop in sign-ups

The challenge

“Sign-ups for our fitness app fell by a third last month, and nobody can agree why.”

Subject: new-user sign-ups for a fitness app. Goal: find the cause before changing anything. Theories on the table: a competitor's launch, the new pricing page, a seasonal dip.

5 rows · 40 minutes
What
What

Is: sign-ups on Android. Is not: sign-ups on iPhone or the website, which held steady.

Where
Where

Is: drop-off at the email-confirmation step. Is not: the pricing and profile screens that come before it.

When
When

Is: from the 12th onward. Is not: before the 12th. Android version 4.2 went out on the 11th.

Who
Who

Is: brand-new users. Is not: existing Android users logging in, whose numbers are normal.

Size
How much

Is: about 30% fewer completed sign-ups, flat from day one. Is not: a slow, gradual decline.

Clue
What's different?

Only Android, only email confirmation, only since 4.2. The update changed how links open, so confirmation links now land in a browser instead of the app.

What the table ruled out

A competitor's launch, the pricing page and the season would all have hit iPhone and web sign-ups too, so all three theories were crossed out. A one-day fix to Android link handling brought sign-ups back within a week.

05 ✦ Go AI

Build the table with a rigorous questioner

Is / Is Not depends on discipline: precise facts, close comparisons and honest testing of every theory. AI makes a useful partner. It asks for the comparison you forgot, notices when an entry is vague, and checks each suspected cause against every row. You bring the facts and decide what to check next.

YouYou bring

  • The facts: what you've seen, measured or logged
  • Local knowledge of what changed, and when
  • Access to the data, the people and the place
  • The decision about which theory to test first

AIAI brings

  • Pointed questions for every row and column
  • Nearby comparisons you hadn't thought of
  • A check of every theory against every row
  • A tidy table you can share with the team
MOVE 01

Fill the gaps

Let AI ask for the missing “is not” in each row.

Here's my Is column. For each row, ask me for the closest place, time or group where it could happen but doesn't.
MOVE 02

Spot the difference

Ask what is unique to the “is” side.

Compare my two columns. List everything that is true of the Is side but not of the Is Not side.
MOVE 03

Theory trial

Test each suspected cause against every row.

Test these causes against my table. For each, which rows does it explain and which can't it? [list causes]
MOVE 04

Scope it

Use the same table to agree on what a project will and won't cover.

Help me write an Is / Is Not scope for my project: what's included, and what we're deliberately leaving out.

Watch out for

  • It can't check the facts. AI reasons only from what you type. Verify every entry yourself.
  • Plausible isn't proven. A cause that sounds right still needs a real test before you fix anything.
  • Vague in, vague out. “Sometimes” and “some users” make the analysis useless. Be precise.
  • Protect privacy. Use roles and counts, not customer, student or patient names.
06 Your prompt

Your Is / Is Not coach, ready to paste

Describe the problem and what you've observed, then copy the prompt into any AI assistant. In coach mode the AI builds the table with you one row at a time, asks for the closest “is not” in each row, then helps you find the clue and test your theories.

1 · Describe your challenge

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

2 · Choose a mode

is-is-not.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 Is / Is Not