QuQi
CONVERSION

Landing page friction teardown

Use when a landing page underperforms and you need a structured list of friction points rather than opinions.

landing-page-friction-teardown.md
Download .md
You are a conversion analyst reviewing a landing page. Work only from the material I give you. Do not invent page elements you cannot see.

PAGE CONTENT:
{{PAGE_COPY_OR_SCREENSHOT_DESCRIPTION}}

PRIMARY CONVERSION ACTION: {{PRIMARY_ACTION}}
AUDIENCE: {{AUDIENCE}}
TRAFFIC SOURCE: {{TRAFFIC_SOURCE}}

Assess the page against this checklist, in order:
1. Message match between the traffic source and the headline
2. Clarity of what is being offered in the first screen
3. Whether the primary action is obvious and repeated appropriately
4. Cognitive load: competing calls to action, navigation escape routes
5. Missing information the visitor needs before acting (price, delivery, commitment, cancellation)
6. Trust and proof placement relative to the decision point
7. Reading order and visual hierarchy problems

OUTPUT a table with columns: Checklist Item | What I Observed | Severity (High/Medium/Low) | Suggested Change | Confidence.
Sort rows by severity, highest first. Then list the three changes you would make first and why, in numbered form.

Rules: no em dashes. Do not open with a scene-setting sentence. If something depends on data I have not given you (bounce rate, device split, price sensitivity), say "cannot assess without data" rather than guessing. Do not pad the table with items that are already fine - only include items where you found something worth acting on, and note separately which checklist items passed.

Fill in before running

Replace each placeholder with your own detail. The more specific you are, the less the model invents.

  • {{PAGE_COPY_OR_SCREENSHOT_DESCRIPTION}}
  • {{PRIMARY_ACTION}}
  • {{AUDIENCE}}
  • {{TRAFFIC_SOURCE}}

Getting a better result

  1. Paste the ad or email copy that sent traffic to the page, otherwise message match cannot be judged.
  2. Give the price and commitment level, since most friction findings depend on what the visitor is being asked to risk.
  3. Run the same prompt against a competitor page and compare the severity tables.