When I audit products, the most common issue I find isn't a missing feature. It's a product that assumes users behave the way the founder hopes they will, when they actually don't.
This chapter covers what real users are doing when they hit your product: why they abandon things that "technically work," how confusion quietly burns through signups, what trust looks like in small moments, and how empathy works as a product skill rather than a vibe.
One thing product people do constantly is turn real human behavior into diagrams. Funnels, flows, journeys, personas, activation paths. Which is useful, obviously, you need abstractions to build products.
But sometimes founders spend so much time inside FigJam that they forget the "user" is usually just a distracted person trying to solve something quickly before getting pulled into another tab, Slack notification, meeting, text message, or minor life crisis.
People don't interact with products in calm optimized conditions.
They're tired, skeptical, multitasking, impatient, and half the time they signed up while standing in line for coffee. They're also carrying baggage from every other product that annoyed them before yours.
That part matters way more than founders think.
People don't behave like ideal flows
Founders usually experience their own product in the best possible conditions:
- They already understand the terminology
- They know where everything is
- They know what the product is supposed to do
- They know what "success" looks like
Real users don't have any of that context.
| Founders think | Users experience |
|---|---|
| "This only takes 3 minutes." | "Why is this asking me for all this already?" |
| "The setup is simple." | "This already feels like work." |
| "The onboarding is comprehensive." | "Why do I need to do all of this before trying it?" |
| "The dashboard explains everything." | "Where am I supposed to start?" |
That gap is where a huge amount of churn comes from. In AI products it's worse: setup is often longer than users have patience for.
How users actually behave
Every signup is a small risk. People are constantly wondering: is this worth my time, will this actually work, do I trust this, am I about to waste an hour setting this up.
All it takes is one vague error message or one "wait... what do I do now?" moment and they could bounce.
When this happens to me, especially during onboarding, I usually bail. My thought process is, that if there's problems this early what will I run into when I get to the real functionality?
Most products lose people not because the value is bad, but because the effort feels too high relative to the expected reward. I'll use the Temu app as an example of this:
Let's just say I'm looking for an inexpensive item. I'll open the app and every single time, I'm sent on a 10 screen "coupon" code journey I can't exit out of. It's super annoying. Half the time I just exit out.
People skim, guess, skip instructions, click the wrong thing, and open your app while doing five other things. Clarity matters more than cleverness, most of the time.
Attention spans have died. Simplicity wins.
This is also why products that feel lightweight, obvious, fast, and low-pressure often outperform products with dramatically more functionality, especially early on. Smaller products have an advantage here.
Simplicity is easier to understand, easier to trust, and easier to return to. Zero overwhelm.
One more thing worth naming. Technical founders often describe users as "non-technical" when what they really mean is "this person will not debug my product for me."
Which is a completely reasonable expectation. Most people don't want to troubleshoot configuration issues, understand your architecture, or decode vague UX patterns just to complete a task.
Even highly technical users bounce when products feel messy. Not because they can't figure it out. Because they have alternatives.
Why people actually abandon products
Founders often assume churn means pricing problems, missing features, or competition. Sometimes it is. But a huge amount of abandonment is much simpler than that.
| Why founders think users churn | Why users actually leave |
|---|---|
| Missing features | "I never got value." |
| Competition | "This felt annoying." |
| Pricing | "Setup took too long." |
| Weak retention | "I forgot why I signed up." |
| Low engagement | "I didn't trust it yet." |
This is why behavior matters more than compliments. A user saying "super cool product!" means very little if they never come back.
Trust is built in tiny moments
Trust isn't one giant thing. It's cumulative, built across small moments:
- The billing matches what was promised
- The product loads quickly
- The AI output is consistent
- The onboarding makes sense
- The app remembers what you did last time
- The error states are clear
- Nothing feels unexpectedly risky
People are constantly asking themselves: does this feel reliable enough to depend on? Especially now, when new AI products are appearing every five seconds.
Trust compounds quietly. So does distrust.
Empathy is a product skill
Empathy in product development isn't about "being nice." It's about accurately understanding what someone else is experiencing while using your product. Which sounds obvious until you realize how many founders are designing entirely around their own mental model instead of the user's reality.
Empathy is what helps you notice where people hesitate, where they feel overwhelmed, where terminology becomes confusing, where setup starts feeling heavy, where trust starts dropping. That's also how you reduce the kind of "mysterious churn" founders often try solving with more features.
A lot of the time the product didn't need more functionality. It needed to feel easier, clearer, safer, or faster to understand.