If your PMF score is below 40%, focus on two things: find the user segment that already loves you (they exist), and fix the specific blockers that keep "somewhat disappointed" users from becoming advocates. Most founders try to improve their overall score by building for everyone. That's backwards.

Here's the practical roadmap — quick wins that can move your score fast, plus deeper product changes that create lasting improvement.

How Do You Improve Product-Market Fit?

You improve product-market fit by finding the user segment that scores highest on the Sean Ellis survey, doubling down on what they love, and systematically fixing blockers for "somewhat disappointed" users. Most teams see 5-10 point PMF score improvements within 1-2 quarters using this approach.

Understanding Your PMF Score

Before improving anything, make sure you're measuring correctly:

Run the Sean Ellis survey (original methodology) with 30+ active users (not new signups, not churned users)
Calculate (Very Disappointed ÷ Total) × 100
Segment — your overall score hides the real story

Your overall score might be 35%. But what if your power users are at 55% and your casual users are at 18%? That's your real PMF — the overall number is just an average that hides two completely different user populations.

As you work to improve, always track by segment. An overall improvement from 35% to 38% means nothing if your power user score dropped from 55% to 50%.

Quick Wins to Boost Your Score (Low-Hanging Fruit)

These don't require product changes. They can move your score in days or weeks:

1. Survey the Right Users

Are you surveying everyone who signed up? Stop.

Survey only users who have:

Activated (completed your "aha moment")
Used the product 3+ times
Been active in the last 30 days
Had at least 2-3 weeks of real usage

If you're including users who signed up and never came back, you're diluting your score with people who never gave your product a chance. That's not a PMF problem — that's an activation problem.

2. Fix Your Survey Timing

When you send the survey matters. Too early and users haven't experienced enough value to have a strong opinion. Too late and you've already lost the "somewhat disappointed" users to churn.

Sweet spot: 2-4 weeks after activation, when users have had meaningful experience but are still engaged enough to respond.

3. Shift Your Acquisition Mix

Where are your most engaged users coming from? If organic signups have a 50% PMF score but paid ads have 20%, your acquisition channels are diluting your overall PMF.

This doesn't mean paid ads are bad — but it means you might be attracting the wrong people. Refine your ad targeting to match the profile of your high-PMF users.

4. Simplify Onboarding

If users aren't reaching the "aha moment" fast enough, your onboarding is the bottleneck. Look at:

Time to value — can users experience your core benefit in under 5 minutes?
Drop-off points — where exactly do users abandon the setup flow?
Unnecessary steps — are you asking for information you don't need upfront?

Every extra step between signup and value delivery costs you potential "very disappointed" users.

Deep Work: Product Changes That Move the Needle

Quick wins only get you so far. For lasting PMF improvement, you need deliberate product changes:

1. Double Down on What Works

Your "very disappointed" users love something specific about your product. Find out what.

Ask them:

"What is the main benefit you receive from [product]?"
"What would you miss most if you couldn't use [product]?"

Their answers will cluster around 1-2 themes. Build more of that. Whatever it is — the speed, the simplicity, the specific insight it provides — double down hard.

2. Fix the Blockers for "Somewhat Disappointed" Users

Your "somewhat disappointed" users are the highest-leverage group. They see value but something's preventing them from becoming advocates.

Ask them:

"What is missing from [product] that would make it better?"
"What almost prevented you from signing up?"

Their top 2-3 answers are your product roadmap. These aren't feature requests from random users — they're specific blockers from people who already see your value but need something more to cross the line.

3. Narrow Your Focus

Trying to serve everyone? That's the single most common PMF killer.

If your product does 5 things, pick the 1-2 that your "very disappointed" users love most. De-prioritize the rest. Simpler products have higher PMF because they do one thing exceptionally well instead of five things adequately.

This feels counterintuitive — cutting features feels like cutting value. But simplicity is value. Users don't want more features. They want their problem solved clearly.

4. Find and Clone Your Power Users

Who are the people who love you most? Study them:

What's their role or company stage?
How did they find you?
What features do they use most?
What problem were they solving when they signed up?

That profile is your Ideal Customer Profile (ICP) — what Rahul Vohra calls your High Expectation Customer. Once you know exactly who loves you, market to more people like them. Your PMF score improves because you're attracting users who are predisposed to love your product.

5. Improve Time-to-Value

If it takes users 3 days to experience your core value, you'll lose most of them before they ever become "very disappointed." Compress the time between signup and the moment they think "this is exactly what I needed."

Tactics:

Pre-populate with sample data so users see value immediately
Guide users to one specific outcome in their first session
Remove every step that doesn't directly contribute to the first "aha"

Building a Feedback Loop with Early Users

PMF improvement isn't a one-time project. It's a continuous loop:

The Loop:

Survey — Run the Sean Ellis test monthly or quarterly
Segment — Look at scores by user type, plan, tenure, source
Analyze — What separates "very disappointed" from "somewhat disappointed"?
Prioritize — Build what "somewhat disappointed" users are missing
Ship — Release changes quickly; small bets, fast iteration
Measure — Run the survey again. Did the score move?
Repeat

Best Practices:

Keep the survey consistent — same question, same population criteria, same timing relative to activation
Track trends, not snapshots — a single measurement tells you where you are; a trend tells you where you're going
Don't react to individual comments — look for patterns across 10+ responses before acting
Involve the whole team — PMF isn't just product. Marketing, support, and sales all affect how users experience your product

When to Re-Measure (And When Not To)

Measure After Major Changes

Shipped a significant feature? Changed your positioning? Adjusted pricing? Measure 2-3 weeks after to see the impact on PMF.

Don't Measure Weekly

Weekly is too frequent. Users get survey fatigue, and week-to-week noise drowns out real signal. Monthly or quarterly gives you meaningful data without burning goodwill.

Ignore Small Fluctuations

A move from 35% to 37% isn't meaningful — it's within the margin of error for most sample sizes. Look for 5+ point shifts before concluding something changed.

Celebrate Sustained Improvement

The win isn't hitting 40% once. It's maintaining 40%+ across multiple measurement periods while growing your user base. That's real, durable PMF.

The Bottom Line

Improving your PMF score comes down to three things:

Measure the right users — survey activated users, not everyone who signed up
Build for your best segment — double down on what power users love, fix blockers for "somewhat disappointed" users
Run the loop continuously — measure, analyze, ship, measure again

The founders who improve PMF fastest treat it as a system, not a project. They measure consistently, segment ruthlessly, and ship based on what the data tells them.

FitSignal automates PMF measurement, segmentation, and trend tracking — so you can focus on improving your score, not building spreadsheets. Start free at fitsignal.com.