It's simple. Before you spend another month building or another dollar on ads, you want to know one thing: would anyone actually miss this if it vanished? A PMF survey answers that in about a week, for free.

But "simple" isn't "easy to get right." The most common way founders waste a PMF survey isn't laziness — it's surveying the wrong people, or wording the question so it flatters them. Let's walk through it so your number is honest enough to bet on.

Step 1: Decide who to survey

This is the step that makes or breaks the whole exercise, so we'll spend real time on it.

You want to survey engaged users — and the working definition is precise: people who have used the core of your product at least twice in the last two weeks. Not everyone who signed up. Not the newsletter list. The people who actually experienced the thing your product is for, recently, more than once.

Why the filter matters this much

Picture two bad surveys. In the first, you blast every email you've ever collected. Half of them barely remember signing up; they answer "not disappointed" out of indifference and crater your score for no real reason. In the second, you survey only your hand-picked beta superfans, who answer "very disappointed" out of loyalty and hand you a flattering 60% that evaporates the moment normal users arrive.

Both numbers are fiction. The engaged-user filter is what keeps you out of both ditches: recent enough that the experience is fresh, repeated enough that they've truly used it, broad enough that they're not just your friends.

A PMF score is only as honest as the people you ask. Get the audience wrong and every decision downstream is built on a lie.

Step 2: Write the survey (the exact questions)

Keep it short. Every extra question costs you completions. Here's the full set — one scored question, three open-ended follow-ups. (It's the same Sean Ellis survey template PMFtracker pre-loads, word for word.)

The core question (this is the score)

How would you feel if you could no longer use [product]?

○ Very disappointed
○ Somewhat disappointed
○ Not disappointed
○ N/A — I no longer use it

That fourth option is doing quiet, important work. It pulls churned users out of your denominator so your score reflects the people actually using the product. Don't skip it.

The open-ended follow-ups (this is the gold)

The percentage gets the headlines, but these three questions are where your ICP, your positioning, and your roadmap come from:

Four questions total. Two minutes to complete. Don't bloat it — the open-ends only get answered if the survey feels light.

Step 3: Choose how to deliver it

Two main channels, and the right one depends on who you're trying to reach:

ChannelBest forWatch out for
In-app widgetCatching active users in the moment of use — highest-quality responsesOnly reaches people who are currently logging in
EmailWider reach, including users who've gone a little quietLower response rate; make sure you still filter to engaged users

If you can, trigger the in-app version after a user completes a core action — they're warm, they've just experienced the value, and their answer is grounded in a real session rather than a vague memory. For broader coverage, follow up by email to engaged users who haven't answered in-app.

Step 4: Collect enough responses

You need enough that one strong opinion can't swing the result — but far less than you'd fear.

ResponsesWhat it's good for
Under 40Read the comments for clues; treat the % as a rumor.
40–99Solid data — enough to start acting and segmenting.
100+Reliable score you can show an investor.

The most important thing here is to start now. If you have 40 engaged users, you have enough for a directional read this week. Founders who wait for a "statistically perfect" sample usually wait forever. A rough 33% you measured today beats a flawless score you never run.

Skip the setup — launch the survey in 5 minutes

The exact questions above, the engaged-user filter, in-app and email delivery, and automatic scoring — all pre-built. The Sean Ellis template is loaded and ready in PMFtracker.

Use the PMF survey template free → No credit card · No spreadsheet

Step 5: Calculate your score

Once responses are in, the math is one line:

PMF score = (very disappointed ÷ valid responses) × 100

Remember to drop the "N/A — no longer use it" answers from the denominator. If 31 of 78 valid respondents say "very disappointed," you're at 40%. Here's exactly how to interpret that number and the 40% threshold.

Step 6: Do something with the results (most people stop too early)

A score you file away is wasted. The moment the responses land, run this:

  1. Segment by answer. Split users into very / somewhat / not disappointed. You'll treat each group completely differently.
  2. Profile the "very disappointed." Who are they? Role, company stage, what they switched from. This group is your ICP.
  3. Read the "somewhat disappointed" improvements. Their blockers are your conversion roadmap — the features and fixes that move people into "very."
  4. Ignore the "not disappointed." They're usually the wrong audience. Don't let their feedback steer the product.

This is the heart of the Superhuman engine — survey, segment, double down on fans, convert fence-sitters. See the full breakdown of how they ran it.

Step 7: Run it again (this is the real point)

A one-time survey gives you a snapshot. The asset you actually want is a trend line. Schedule the survey to run on a cadence — monthly or quarterly — so you can watch your score move as you improve, catch fit slipping before it's a crisis, and walk into a fundraise with "we went from 26% to 41% over two quarters" instead of a single lonely number.

Re-measuring is also the step that dies first when you run this by hand. Stitching together a Typeform, a CSV export, and a spreadsheet is tolerable once and miserable every month. Which is exactly why most founders measure once and never again — and why putting the loop somewhere automated is what makes it actually stick.

Common mistakes to avoid

Get those right and you've got a repeatable instrument for the most important question your startup faces — answered with data instead of hope.

Run your first PMF survey today

Pre-built questions, engaged-user targeting, automatic scoring, and a trend you can track over time. Stop guessing whether people would miss you — find out.

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