How I audit a SaaS homepage before changing the design

<p>Small AI-built apps often lose trust before anyone gets to the interesting part.</p> <p>The model might work. The demo might be clever. But a first visitor still has to answer

<p>You don’t usually lose conversions because your product is bad. More often, it’s friction. Small, quiet moments where the user hesitates, gets confused, or simply gives up.</p>

<p><em>Hypothesis testing, p-values, confidence intervals, statistical power, and the traps that fool even experienced teams.</em></p> <h2> The Tasting Illusion </h2> <p>In the

<p>You shipped. The product works. The Show HN post got a few upvotes — and the signups chart is a flat line.</p> <p>The reflex is to conclude the product is not good enough yet

<p>I have a bad habit with performance work. I open Lighthouse, see a red number, and start fixing whatever the report lists first. Usually that's an image that's 40KB too big. It

<p><em>This is a submission for the <a href="https://dev.to/challenges/google-gemma-2026-05-06">Gemma 4 Challenge: Write About Gemma 4</a></em></p> <h3> Why I Wrote This </h3>

<p>Design systems exist to keep products consistent. So what happens when the system and the product are both AI-generated, in the same session.... by the same tool?</p> <p>I ran

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