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Signal vs Pull

How to tell real demand from interest — before months go into a product people liked but won’t pay for.

A balloon with a tick, a comment and a thumbs-up: interest that floats away A magnet pulling a weight towards it: pull
A balloon with a tick, a comment and a thumbs-up: interest that floats away A magnet pulling a weight towards it: pull
Deep GuideMarket & Pull
Reading time20 min
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IncludesSignal Audit of your project
By , founder of Beyonds Updated
Before you start

In short

What this guide is about
What separates a customer who will pay from one who liked the idea — and how to see that in the signals you already have, before you build.
The core idea
Interest is a reaction; pull is movement. Pull is when a customer gives up something scarce — money, time, political capital inside their company — and the commitment holds when it costs them.
How to read any signal
Three questions: what did the customer actually give up, how does this kind of customer normally buy, and was the test clean or were we leading them.
What you leave with
A Signal Audit of your project: which signals you have, what each one proves, and what the market has actually given you permission to do next.

You ran the interviews. People understood the problem and liked the idea. Some signed up. Some tried the product. Someone said they would pay — maybe someone already has. All of that is evidence. The harder question is what it gives you permission to do next.

A real signal can still be asked to prove more than it does. A good interview becomes “the market wants this.” A waitlist becomes “demand is validated.” Free usage becomes “we have traction.” One payment becomes “now we should scale.” The signal may be real. The conclusion may still be one step ahead of it.

By the end you will know which of your signals carry the decision in front of you — and which one to test next.

02 · What would you conclude?

Imagine this is your project.

12 out of 15 people you interviewed said they would use the product.

What do you know now?

The most defensible answer is C

Something in the conversation resonated. Now notice what has not happened yet. Nobody had to make room in their calendar, change a workflow, bring in a colleague, share data, start procurement, or spend money.

The interview produced evidence — about a smaller question than “should we build this product?”

Try another one.

You launch a landing page. 640 people visit. 83 join the waitlist. What does that support?

The most defensible answer is C

It may tell you the proposition was interesting enough for some visitors to take a low-cost step. It does not tell you whether they have the problem you think they have; whether it matters enough; whether they will change their current behaviour; whether they will invest a scarce resource; or whether they will buy the eventual product.

The waitlist is evidence. The mistake is asking it to answer a question it never had to answer.

03 · Where the conclusion jumps

Most misleading signals are real.

The interview really did go well. The user really did return. The customer really did say they would buy. The mistake happens one step later. Watch the movement:

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Every line sounds plausible. Each arrow adds an assumption — open them. The first observation can be true while the build decision is still unsupported.

Evidence does not get stronger because the conclusion resting on it matters more.

When founders talk about validation, several different things collapse into one word. Someone understood the problem. Someone signed up. Someone agreed to a pilot. Someone paid.

Each of these tells you something different. The useful question is “what does this signal actually prove?” — and then “is that enough evidence for the decision I am about to make?”

That changes how you test a product: you collect evidence for a specific decision.

04 · The same signal can mean different things

A signal has no fixed value. It depends on how this customer buys.

Two potential customers both agree to another 30-minute call. Which one carries more information?

For the first product the call means very little — that buyer takes exploratory calls every week, and the calendar slot costs almost nothing. In the second, the person brought their Head of Operations, shared an internal workflow and asked for a pilot proposal. The invitation looks the same. The commitment does not.

The same is true of money. A €20 payment can be meaningful in one test and almost meaningless in another. A signed pilot can be serious movement in one enterprise sale and a non-binding experiment in another. Sharing operational data may say more than “yes, we have budget.” Bringing procurement or legal into the room may tell you more than another enthusiastic interview.

So instead of memorising a universal hierarchy of signals, ask:

What is scarce in this buying system?

MoneyTimeDataAccessTeam capacityInternal political capitalImplementation effortProcess changeProcurement effortReputation

The more a customer moves something that is genuinely scarce in their context, the more information their behaviour contains. A meaningful action is evidence for this customer. It is not yet proof of the market.

05 · Read any signal through three questions

Three questions, every time you look at customer evidence.

1. What did they actually do?

Start with the observable event. “They asked for another meeting and invited their operations lead.” “They sent the dataset two days later.” Separate what happened from what you think it means.

2. What did that action cost them?

What scarce resource moved — time, money, data, access, team capacity? A one-click signup and an internal procurement process are both actions. They do not require the same commitment.

3. What decision does this action actually support?

A customer shares data for a pilot. That may support the conclusion that the problem and the proposed test matter enough to invest operational effort. Does it prove willingness to pay? Not necessarily. Retention? No. A scalable acquisition model? No. The signal is still strong — for the decision it actually supports.

The strength of evidence depends on the decision it is being asked to support.

06 · Stated vs fulfilled

“Yes” is one signal. Following through is another.

People commit in conversation all the time, and often mean it. Then calendars fill up, another stakeholder says no, the data turns out hard to share, budget needs approval. So there is a distinction between stated commitment — what the person says they will do — and fulfilled commitment — what they do when it costs them something.

Four things a customer says. Before you open each one, ask yourself what “fulfilled” would look like.

Stated“{{ p.a }}”

A stated commitment tells you about willingness in the room. A fulfilled one tells you:

The willingness held when it cost something.

07 · Before you trust the signal, check the test

A strong-looking signal can still come from a weak test.

Eight people say the problem is urgent. Then you listen to the interviews. The founder described the problem first, asked “would it be useful if…”, explained the benefits, showed a polished demo, and asked whether the person could imagine using it. The answers may be sincere. The customer was still never given a chance to show their own reality.

Quick test validity check · your last test
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{{ validityVerdict }}

If several answers are unclear, fix the test before collecting more signals.

08 · One strong signal is still one signal

Strong evidence is a pattern.

A founder gets the first payment. Someone has finally put money behind the product. Now another mistake becomes possible: asking one payment to prove the whole business.

—Why did this particular customer buy? Was the situation representative?
—Did they buy the product or the founder?
—Did the proposition create the movement, or an existing relationship?
—Would another relevant customer behave similarly?
—Did the promised commitment actually happen?
—Is there contradictory evidence elsewhere?

The payment counts. Claim only what it shows. The same applies to one pilot, one champion, one enterprise logo, one viral post, one returning user, one large waitlist, one successful interview.

One payment can prove that one customer paid under those conditions. Does the pattern corroborate the conclusion?

09 · Decision sufficiency

Eventually you have to decide. There is no number of interviews that turns uncertainty into truth — ten can be plenty for one question and meaningless for another.

Do we have enough evidence for the decision we are about to make?

Call it decision sufficiency. How much evidence you need depends on how big the decision is and how hard it is to undo.

Which decision is in front of you right now?

Evidence required{{ decisionBar }}{{ decisionLevel }}

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Ask “has this bet earned the next investment?” rather than “have we validated the startup?” You are deciding whether the evidence justifies the next step.

10 · Three projects, three different signals

Which of these is closest to your situation?

Project 01

The expert

You have spent years developing a method that produces results for clients. Five existing clients tell you: “I would love an AI version of this.” They already know the value of your expertise. Several questions remain open.

—Do they want the product — or more access to you?
—Which part of your method creates enough value to become a product experience?
—What happens when the proposition becomes concrete and using it requires a real next step?
May supportExisting clients recognise potential value in extending your expertise through an AI product.
Does not yet establishThat a specific product creates enough pull to justify building it in full.
A more useful next testTurn one concrete version of that value into something potential customers can react to — then ask for a meaningful next step.
Project 02

The software engineer

You build an AI product over several weekends, post it, and three hundred people sign up. You built something that attracts attention and converts some of it into action. Now separate the questions.

—Who signed up, and what situation brought them there?
—What did they expect the product to change? Did they use it? What happened afterwards?
—Which of them are inside the market you want to build for — and what will they do when the next step costs more than an email address?
May supportThe proposition or launch attracted enough interest to generate signups.
Does not yet establishThat a defined customer in a defined situation will make a meaningful commitment.
A more useful next testFind the relevant customers inside that attention and test the next costly behaviour.
Project 03

The AI startup

You already have 40 active free users. They use the product; some return. The usage counts. The question is what it proves.

—Which job brings people back? What would they miss if the product disappeared?
—What behaviour changes because the product exists?
—Who experiences enough value to make a commercial commitment — and what happens when you ask?
May supportThe product creates enough utility for some people to use it repeatedly.
Does not yet establishCommercial demand, the buying system, sustainable economics or a repeatable business.
A more useful next testIdentify the customer and situation behind the strongest usage pattern, then test the commitment that fits how that customer buys.
11 · Audit your own signal

Now use the frame on your project.

Answers stay in your browser until you send them to yourself. The first and last lines read together are the point.

What decision are you about to make?
What did that behaviour cost them?
Was the commitment stated or fulfilled?
Read together
The decision I’m about to make is {{ auditDecisionLine }}
The next behaviour I would need to observe is {{ auditNextLine }}

If there is a large gap between them, you have probably found the next test.

Sending also sends your answers and your email to Beyonds. We keep them for 90 days and use them only to send you this audit and to reply to you. More in the privacy policy. Please leave other people's personal details, and anything under an NDA, out of the free-text boxes.

12 · Use this frame instead of a signal ladder

Different products have different buying systems.

No startup moves neatly from likes to interviews to signups to pilots to payments. Use this frame instead.

Select the strongest signal you have right now.

Signal observed
What it may support
Does not automatically prove
Useful next question
Your next question

{{ frameQuestion }}

Open the audit ↑

The table stops one signal from carrying a conclusion it has not earned.

13 · The question to take with you

Interest is a reaction. Pull is movement: the customer gives up something scarce — data, a stakeholder, a procurement process, money — and when it comes to cost them, the movement holds.

Founders often ask “do I have validation?” It compresses too many different things into one yes-or-no answer. A better question:

What has the market actually given me permission to do next?

Keep exploring, change the customer, run a cleaner test, ask for a stronger commitment, build — or stop investing in this version.

You need evidence proportionate to the next decision. So before you build the next feature or spend the next budget, ask:

—What actually happened?
—What did it cost the customer?
—What does that prove?
—What does it still leave open?
—And is that enough for the decision I am about to make?

If the last answer is “no”, the next step is a test. If the honest answer is “I am not sure which decision I am making” — that is a different problem, and the one worth talking through.

Not sure which decision you are making?

Strategic Reframe SessionYou leave with · the customer that matters · one test that costs them something

Sometimes the gap is not in the signal but in the decision: which customer, which commitment, which question. That is what we work on together — 60 minutes with a Beyonds mentor over your audit, through three things:

—Which customer and situation the signal actually came from — and whether that is the market you want to build for.
—Whether the behaviour you have was stated or fulfilled, and what it cost them.
—The next test: a concrete proposition, the relevant customer, a step that costs more than an email address.

If the audit already names the missing signal, you may not need the session — run the test.

{{ srsLabel }} →60 min · 1:1 · free

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