Mini Rant:

Every founder becomes a metrics addict. You check your dashboard like social media. Daily active users, session length, conversion rates — you’ve got charts for everything.

Here’s the problem:Before product-market fit, metrics are Rorschach tests. You see what you want.

📊 The Dashboard Delusion:

“Our DAUs increased 40% this month! Users are spending more time in the app! Engagement is through the roof!”

But what are they actually doing? Are they solving their problem? Or are they lost in your interface, clicking around trying to figure out how to leave?

🧠 The Rorschach Effect:

Your metrics dashboard is like an inkblot test. The same data tells completely different stories depending on what you want to believe:

High session duration? “Users love our product!” High session duration? “Users can’t figure out how to accomplish their goal.”

Low bounce rate? “Great engagement!” Low bounce rate? “People are stuck and don’t know how to exit.”

Activity isn’t adoption. Clicks aren’t conviction. And sessions mean nothing without outcomes.

📊 What Early Metrics Actually Tell You:

  • How confused your users are (not how engaged)
  • How broken your funnel is (not how optimized)
  • How unclear your value prop is (not how compelling)
  • How frustrated people get before leaving (not how satisfied)
  • How much you’re measuring motion instead of progress

You’re measuring the wrong things because you’re optimizing for the wrong outcomes.

Early-stage founders track user behavior like it’s weather data. But behavior without context is just noise.

🔍 What Your Metrics Really Mean:

“Time on page increased 60%”= Are they reading or struggling to find what they need?”Feature adoption is up 30%”= Did they use it once or integrate it into their workflow?”Daily logins increased 25%”= Are they accomplishing their goal or just checking if anything changed?”Support ticket volume decreased”= Did you solve their problems or did they give up asking? The only metric that matters pre-PMF is this:Are people successfully solving their problem using your product?

Everything else is vanity.

🎯 The Pre-PMF Metrics Framework

  • Track completion, not activityDid they finish the workflow that creates value?
  • Measure outcomes, not outputsWhat changed in their life/business after using your product?
  • Count success stories, not user countsHow many people would be devastated if you disappeared?
  • Follow the pain, not the patternWhere do people get stuck, frustrated, or confused?
  • Prioritize retention over acquisitionDo people come back because they have to or want to?

Build clarity before you build charts.

Talk to users. Watch them squirm. Follow the struggle, not the spike.

✅ Better Than Dashboard Metrics:

  • Recording user sessions to see where they get confused
  • Calling users who churned to understand why
  • Tracking specific value-creating actions, not general engagement
  • Measuring time-to-value, not time-in-app
  • Counting referrals from satisfied users, not viral coefficients

Stop trying to optimize numbers you don’t understand. Start understanding the humans behind the numbers.

Metrics lie until you know what questions to ask them.

⚡ This week’s action:

Pick your favorite “good” metric from your dashboard. Call five users who contributed to that number and ask them to walk you through their experience.

I guarantee the story they tell won’t match the story your chart tells.

That gap is where real insights live.

Are your metrics telling stories or lies?

I’ll help you identify which metrics matter and design measurement systems that reveal truth, not vanity. 🔍Book a teardown