Prompt Details
Model
Chat - (gpt-5.6)
Token size
514
Example input
[FUNNEL_STEP]: Signup form to email verification step
[DROP_OFF_DATA]: 42% of users who start the signup form never click the verification link in their email, drop-off spiked after a recent form redesign
[PRODUCT_CONTEXT]: B2C mobile app, freemium model, signup required before any product access
[PRIOR_ATTEMPTS]: Shortened the form from 6 fields to 4; drop-off didn't improve
[AVAILABLE_DATA]: Google Analytics funnel data, email deliverability logs, no session recordings yet
Example output
Example 1
Top-ranked hypothesis: "Verification emails are landing in spam/promotions folders post-redesign, not a user-intent problem." Evidence cited: drop-off spike correlates with redesign timing, not form-length reduction, suggesting an unrelated technical cause. Alternative explanation: users may be entering invalid/typo'd email addresses due to a new field layout. Data needed: email deliverability/bounce logs segmented by signup date, spam-placement testing. Low-cost test: send a test batch of verification emails through mail-tester.com to check spam score changes since redesign. Recommended next step: investigate deliverability before touching the form UX further, given prior form-shortening attempt showed no effect on this metric.
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GPT-5.6
When conversion rates drop, most teams jump straight to "let's redesign the checkout page" without ever confirming why users are actually leaving. The Conversion Drop-Off Hypothesis Engine is built for growth PMs, CRO specialists, and founders who need a rigorous, evidence-based diagnostic process — not another generic funnel-analysis checklist.
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Added 2 weeks ago
