Product market fit mistakes that break web projects
Founders dream of building a product that customers actively want and are willing to pay for. Whether it's a consumer product or a SaaS platform, no one starts a company with the goal of shipping something that's merely a nice-to-have and that path rarely leads to a durable, scalable business.
Yet, many products still struggle to gain traction. Sales cycles stretch longer than expected. Deals stall late in the funnel. User growth plateaus, and customers fail to extract increasing value over time. Retention weakens, referrals slow, and word of mouth never compounds. So what's going wrong?
In most cases, the issue is simple but difficult to diagnose: the company hasn't achieved product-market fit (PMF). In this article, we'll explore how founders can assess and measure product-market fit across different stages of the startup and product development lifecycle from early validation and user feedback to adoption, retention, and repeat usage signals.
What is product-market fit ?
Product-market fit is one of the most important and most misunderstood concepts in company building. Despite its importance, PMF is often described in vague terms like “you'll know it when you see it,” which leaves founders without clear signals to measure or act on. After nearly 20 years of investing in startups before they reached product-market fit, we've broken PMF down to a much more granular level. Here's how we define it:
"Extreme product-market fit is a state of widespread demand for a product that solves a critical problem and can be delivered repeatedly and efficiently to each customer."
There are a few common ways teams miss the mark. In some cases, the product doesn't truly solve the problem founders believed it would. This often happens when customer research is shallow, early feedback is misread, or the value proposition isn't validated before building.In other cases, the solution is strong, but the underlying problem is more niche than expected. Adoption stalls beyond a small group of highly engaged users, making it difficult to scale demand or revenue.
So how do founders avoid these dead ends?We've pulled together our most effective frameworks to help teams evaluate demand, validate their assumptions, and chart a clearer path toward sustained product-market fit.
Why is product-market fit important?
As we've seen firsthand by working closely with hundreds of early-stage founders, no two paths to product-market fit look the same. Some products gain traction quickly, building strong customer demand and early revenue momentum. Others take longer, requiring false starts, iteration, or even significant pivots before they resonate. Slack and Notion are well-known examples.
Slack began as a video game, then evolved into an entirely new company after its internal messaging tool revealed unexpected demand. Notion, by contrast, stayed committed to its original vision but rebuilt the product multiple times to better capture how users actually wanted to work. The path may differ, but the importance of product-market fit does not.
If you plan to raise venture capital, early signs of product-market fit are critical. Investors look for evidence of customer pull usage, retention, word of mouth, and clear engagement as indicators that demand exists beyond founder intuition.
Even for companies that choose to bootstrap, product-market fit remains essential. Growth requires capital, and capital comes from customers who consistently choose to pay for your product. That only happens when the product solves a real problem for a clearly defined and undeserved group, and does so in a way that users value enough to return.
How to find product-market fit
Finding product-market fit often begins before you have a product at all. Before you start building, you need confidence that you've chosen the right market. No amount of execution can overcome the limits of a market that's too small, too crowded, or poorly understood. In other words, product-market fit starts with market selection, not features. Start with a thesis
As you explore startup ideas, founder Sasha Orloff recommends grounding your thinking with a clear thesis. That foundation comes from answering three core questions: What meaningful problems exist in the world today? What personal skills, experience, or insights do you have that position you to solve one of them? How can that solution become a viable and sustainable business?
Another repeat founder, Bob Moore, frames this more directly:
“Here's what we're here to do, here's why we'll be the best at doing this very specific thing, and here are the tailwinds that make now the right time to do it.”
Together, these questions force early clarity around problem selection, founder-market fit, and timing three factors that strongly shape whether product-market fit is achievable later.
Validate your idea
With your thesis in place, it's still too early to start building. The next step is to test your idea directly with people in your target market long before you have anything to sell.
At this stage, the goal is not validation through features, but understanding through conversation.
Product executive Michael Sippey offers a clear baseline: get customers on the phone. Aim for at least 30 conversations with the exact decision-makers you expect to sell to. Use these discussions to explore their current workflows, pain points, and constraints. Then describe what you're considering building and observe how they respond. This process should happen before you write a single line of code.
These early conversations help surface whether the problem is real, urgent, and shared and whether your proposed solution aligns with how potential customers already think about the problem. More importantly, they prevent teams from investing months of effort into assumptions that haven't been tested in the market.
As you speak with potential customers, the goal is to uncover a clear picture of the problem not to pitch a solution. The most important questions to explore include:
- How are they solving it today, if at all?
- How frequent or severe is the problem when it occurs?
- Do they actually experience this problem in their day-to-day work?
- What are they currently spending in time, money, or effort to manage it?
- How does the problem impact their business outcomes or decision-making?
Only toward the end of the conversation should you begin to describe how you're thinking about solving the problem and ask for feedback. Even then, this should come after you've spent the majority of the time deeply understanding the customer's experience. Michael Sippey recommends dedicating at least half of each conversation to exploring the problem itself before introducing any proposed solution.
" When I look back on my career, I've made a lot of mistakes in product planning and development more than I'd like to admit,” he says. “The common thread in almost all of them was spending too much time thinking about features, and not enough time understanding the problem we were actually trying to solve. "
Here's another useful signal: if you struggle to get people to agree to a conversation about the problem you believe they're facing, that's often a sign the issue isn't mission-critical. When a problem truly matters, potential customers are willing to make time to discuss it. If they aren't, it's usually worth stepping back to re-examine your value proposition, assumptions, and underlying hypothesis before moving forward.
“Once you've zeroed in on an idea and validated with your target persona that it addresses a real, acute problem, it's tempting to disappear into build mode. Many founders fall into the trap of endlessly refining features, polishing edges, and expanding scope until the product feels “ready.”
The problem is that every week spent building in isolation is a week not spent learning from real users. That's why many startups start with a minimum viable product. An MVP is not a stripped-down version of your final product it's a focused tool designed to test whether your core idea actually resonates.
Instead of building everything possible, an MVP concentrates on the smallest set of features required to validate your main value proposition with customers. Those features should be tightly aligned with the single outcome your product promises to deliver.
As veteran product leader Jiaona Zhang puts it:“ If you try to solve every problem with your product, you'll do it all poorly. I call this the Peanut Butter Principle: when you spread too thin, it's no longer tasty ”
Her guidance is simple: focus on the one feature that makes your product indispensable, deliver it quickly, and build from there.
How to measure product-market fit
Once customers can actively use your product even in an early or imperfect form you can begin measuring whether you're moving toward product-market fit. At this stage, the goal is not perfection, but signal. Here are a few proven ways founders assess whether PMF is starting to emerge.
Growth expert Sean Ellis popularized a simple but powerful survey as an early indicator of product-market fit. The method is straightforward: ask users one question“ How would you feel if you could no longer use this product? ” Then measure the percentage of respondents who answer “very disappointed.”
After bench-marking hundreds of startups, Ellis identified a clear threshold. Companies that struggled to grow almost always had fewer than 40% of users selecting “very disappointed.” In contrast, products with strong traction and momentum consistently exceeded that mark.
Reaching this level doesn't mean product-market fit is complete but it's a strong signal that your product is solving a meaningful problem for a significant portion of users. If you don't quite reach the 40% threshold, there's no need to panic. Instead, treat it as a prompt to investigate more closely.
Focus on the users who are deeply disappointed without your product. Look for patterns in who they are, how they use the product, and what problem it solves most clearly for them. These users often represent the core persona where product-market fit is beginning to form.
The next step is not to broaden your audience, but to narrow your focus: understand what connects these users, and identify how to reach more people like them.
Superhuman founder Rahul Vohra followed this exact approach in his own product-market fit journey, which he later detailed in one of the most widely read essays on The Review.
“We identified users who had recently experienced the core of our product,” Vohra explains, following Sean Ellis' guidance to focus on users who had used the product at least twice in the previous two weeks.
At the time, Superhuman had between 100 and 200 active users to survey. But Vohra notes that founders at much earlier stages shouldn't hesitate to apply this approach. Directionally useful insights often emerge with as few as 40 responses far fewer than most teams expect.
Once this group was identified, Vohra emailed them a product-market fit survey with four focused questions designed to uncover how essential the product had become to their workflow.
1. How would you feel if you could no longer use Superhuman?
A) Very disappointed
B) Somewhat disappointed
C) Not disappointed
2. What type of person do you think would benefit most from Superhuman?
3. What is the primary benefit you receive from Superhuman?
4. What could we do to improve Superhuman for you?
Even in the earliest stages of a product, it's easy to get overwhelmed by the number of metrics available to track. From sign-ups and page views to activation rates and feature usage, early dashboards quickly become crowded with data. The problem isn't a lack of metrics it's a lack of focus. When teams try to optimize everything at once,
they often lose sight of the single signal that matters most: whether the product is creating consistent, repeatable value for users. That's why identifying one North Star metric early on is so important. A North Star metric acts as a unifying measure of progress. It helps teams priorities decisions, align product work, and avoid chasing numbers that look good on paper but don't reflect real customer value. Including:
- Net promoter score (NPS)
- Retention rate
- Total addressable market (TAM)
- Sales and signups
- Customer acquisition cost (CAC)
- Churn rate
- Revenue
- Traffic
- Referrals
- Customer lifetime value (CLV)
Rather than spreading attention evenly across every metric on the dashboard, focus becomes essential as you begin to scale. ClassPass founder and CEO Payal Kadakia points to this shift as a defining moment in her journey. Here's how she describes her realization: “Once the product started working, the number of reservations per person became the clearest signal of true north.
I remember the moment I thought,‘‘ This is the number. This is the only number that matters. I'd rather have 150 people using it weekly than 1,500 attending the occasional class”Kadakia's insight highlights the power of choosing a metric that reflects depth of usage, not surface-level growth. When your North Star captures how often users return and rely on the product, it becomes a far more accurate indicator of real value and long-term traction.
For ClassPass, reservations per person touched nearly every critical indicator in the business. It provided visibility into churn, revenue, and engagement. It reflected how satisfied studios were with the platform. Most importantly, it offered a fast, reliable snapshot of the real impact the product was having on both sides of the marketplace.
Looker founder Lloyd Tabb offers a useful lens for thinking about this distinction by separating vanity metrics from clarity metrics. Vanity metrics are surface-level indicators. They're often large, impressive numbers like total downloads or sign-ups that look good externally but reveal little about real usage or value.
Clarity metrics, on the other hand, are operational. They capture how a product is actually used: how frequently users return, how long they stay engaged, or how quickly they get value. These are the underlying mechanics that drive sustainable growth. As you define your own North Star, focus on the clarity metrics that most directly reflect whether your product is becoming essential to a growing group of users. Those signals not headline numbers are what ultimately indicate product-market fit.