“Cool Story, But What Did You Learn?” — Why Startup Activity Isn’t the Same as Progress

A founder once told me:

“We launched the MVP, posted in a few communities, got hundreds of views, and people are excited.”

My first question was simple:

“Awesome. What did you learn?”

Long pause.

That pause matters.

Because one of the most common startup traps is confusing activity with evidence.

And honestly, it’s understandable. Startup work feels productive:

  • building features

  • posting online

  • getting signups

  • collecting survey responses

  • launching waitlists

But if none of it reduces uncertainty about your business, you may just be doing what the hosts of the Zero Detraction podcast jokingly call:

“Procrastivity” — productive-looking work that avoids the scary questions.

The Real Job of a Startup

The podcast frames startups through the lens of traction science.

In plain English:

A startup is not just building a product.
A startup is systematically reducing risk.

That changes how you think about everything.

Instead of asking:

  • “What should we build next?”

You start asking:

  • “What assumption are we testing?”

  • “What evidence would prove it?”

  • “What evidence would invalidate it?”

That shift is massive.

Why Founders Drift Into “Procrastivity”

One of the more interesting ideas from the discussion was this:

“Procrastination is often unprocessed fear.”

Not laziness.

Fear.

Examples:

  • Fear customers won’t pay

  • Fear nobody actually cares

  • Fear the product solves the wrong problem

  • Fear the startup itself may not work

So founders unconsciously gravitate toward safer tasks:

  • polishing the UI

  • collecting waitlist emails

  • posting on Product Hunt

  • tweaking branding

  • adding features

Those things feel productive because they create motion.

But motion is not momentum.

Example #1: The Freelancer SaaS MVP

The startup:

  • built a Notion-based MVP

  • shared it in freelancer Slack groups

  • got 400 views

  • collected 120 signups for the “real version”

At first glance, that sounds promising.

But the podcast immediately asked the important question:

What exactly was being tested?

The Problem

They said they built an MVP.

But the metric they measured was:

  • waitlist signups

Those are two different experiments.

If the goal was:

“Do people want the product?”
Then a landing page test might work.

If the goal was:

“Does this MVP create value?”
Then they needed:

  • actual usage

  • actual workflows

  • ideally willingness to pay

Instead, they built something more substantial…
and measured almost nothing meaningful from it.

Key Lesson

Don’t just build something.
Build an experiment.

And define success before launching.

Example #2: The Mental Wellness App Survey

This startup had:

  • a 3,000-person waitlist

  • sent a survey asking which feature users wanted most

  • journaling prompts “won”

Sounds data-driven, right?

Not really.

The Core Issue

The podcast pointed out something subtle but important:

2,300 people didn’t respond.

That silence matters.

And even among the responses:

  • Was this open-ended feedback?

  • Multiple choice?

  • Ranked voting?

  • Were users choosing “must-have” features or simply “expected” features?

Because journaling in a mental wellness app is a little like:

  • messaging in Slack

  • playlists in Spotify

  • photos in Instagram

People expect it by default.

That doesn’t mean it drives value.

Better Questions They Could Have Asked

Instead of:

“Which feature are you excited about?”

Ask:

  • “What problem are you actively trying to solve?”

  • “What are you using today?”

  • “What’s frustrating about it?”

  • “How urgent is this problem?”

Those answers produce actual insight.

Example #3: The Ethical Shopping Chrome Extension

This startup launched:

  • a Chrome extension

  • got 800 installs in two weeks

  • and said:

“Now we’re watching how people use it.”

That line triggered immediate pushback.

Why?

Because:

“We’ll see what happens” is not an experiment.

The Missing Ingredient: Intentionality

Good startup experiments define:

  • what success looks like

  • what behavior matters

  • what metric proves value

Examples:

  • Did users actually use the extension?

  • Did it change buying behavior?

  • Did it stop purchases?

  • Did it increase trust?

  • Would users pay for it?

Without those definitions, installs become vanity metrics.

And vanity metrics are dangerous because they create false confidence.

The Big Startup Mistake

Across all the examples, the same pattern appeared:

Founders celebrated:

  • views

  • signups

  • installs

  • survey responses

But skipped:

  • conversion

  • retention

  • willingness to pay

  • urgency

  • behavior change

In other words:

They measured attention instead of value.

Personal Opinion

One of the best lines in the episode was this:

“If you’re not getting data from actual customers, you’re basically wasting your time.”

Harsh? Maybe.

But mostly accurate.

The market does not reward:

  • effort

  • passion

  • feature count

  • clever branding

It rewards value creation.

And the fastest founders are usually the ones most willing to hear:

“This isn’t working.”

Because every bad assumption discovered early saves:

  • months

  • money

  • emotional energy

Recommendations for Founders

1. Define the learning goal first

Before every experiment, ask:

“What uncertainty am I reducing?”

2. Stop measuring vanity metrics

Traffic alone means almost nothing.

Focus on:

  • activation

  • retention

  • conversion

  • behavior change

  • willingness to pay

3. Treat experiments like science

Every experiment should include:

  • hypothesis

  • success metric

  • failure condition

  • next action

4. Don’t avoid uncomfortable tests

The scary questions are usually the important ones.

Especially:

  • pricing

  • commitment

  • urgency

5. Remember: speed matters

A failed experiment quickly is progress.

A vague experiment slowly is just expensive wandering.

Final Takeaway

The founders who win are not the ones who stay busiest.

They’re the ones who learn fastest.

Actionable recommendation:

The next time your startup does something “exciting,” ask:

“What assumption did this actually validate?”

If you can’t answer clearly…
you probably just collected another cool story.


About Josh David Miller

​Over the past decade, Josh David Miller has empowered over 100 startup founders and innovators to launch and scale their ventures. As the driving force behind the Traction Lab Venture Accelerator,

Josh specializes in guiding early-stage startups through the intricate journey from ideation to product-market fit. His expertise lies in transforming innovative concepts into viable, market-ready solutions, ensuring entrepreneurs navigate the challenges of the startup ecosystem with confidence and strategic insight.

About Cameron R. Law

Cameron R. Law is a Sacramento native dedicated to building community, growing ecosystems, and empowering entrepreneurs.

As the Executive Director of the Carlsen Center for Innovation & Entrepreneurship at California State University, Sacramento, he leverages his passion for the region to foster innovation and support emerging ventures. Through his leadership, Cameron plays a pivotal role in shaping Sacramento's entrepreneurial landscape, ensuring that innovators and builders have the resources and support they need to succeed.

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