AI conversion diagnosis

AI 전환 장애 진단

Combine drop-off, errors, and replay to narrow likely causes.

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<div class="diagnose"><div class="signal">CHECKOUT DROP <b>!</b></div><div class="evidence"><span>ERROR LOG</span><span>REPEAT TAP</span><span>REPLAY</span></div><div class="candidate">CHECK: PAYMENT BUTTON</div></div>
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.diagnose{width:min(82%,460px);font:800 clamp(10px,max(1.8vmin,1vw),15px)/1.2 sans-serif}.signal{background:var(--fg);color:var(--bg);padding:clamp(8px,2vmin,18px);display:flex;justify-content:space-between}.signal b{color:var(--accent);animation:pulse 3s infinite}.evidence{display:flex;gap:5px;justify-content:space-between;margin:clamp(8px,2vmin,17px) 0}.evidence span{border:2px solid var(--line);padding:clamp(4px,1vmin,9px);animation:light 3s infinite}.evidence span:nth-child(2){animation-delay:.35s}.evidence span:nth-child(3){animation-delay:.7s}.candidate{border:2px solid var(--accent);color:var(--accent);text-align:center;padding:clamp(6px,1.5vmin,13px);animation:light 3s 1s infinite}@keyframes light{0%,10%{opacity:.2;transform:scale(.93)}25%,80%{opacity:1;transform:scale(1)}100%{opacity:.2}}@keyframes pulse{50%{transform:scale(1.5)}}

AI conversion diagnosis spots unusual drop-off and joins behavioral signals to suggest what to investigate. A published product example has agents inspect funnels and replays.

The demo overlays a payment-stage drop, an error marker, and repeated clicks, then flags the payment button response as a candidate issue. That candidate is a hypothesis to verify, not an instruction to deploy a fix.

Coincident signals do not prove cause. Confirm with logs and reproduction, then verify the repair through a test or follow-up monitoring.

When to use

Use it to prioritize investigation when conversion drops suddenly and several causes are plausible.

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