BurnTest.io

Real burn #1 · burntest.io

This is what you get back.

A real burn, run on our own site: the recording, the transcript, the Fire Score, and the AI's ranked findings. Your burns look exactly like this — with your site and your customers.

Burn #1 · Desktop · burntest.io2:15
TranscriptAuto-generated · 11 segments

Click a line to jump the video there.

Recorded Sept 25, 2026 on burntest.io itself. Narration is a scripted demo; the transcript, scores and findings are the real pipeline output, unedited.

AI scoring

70Fire Score
Clarity85
Trust60
Navigation75
Offer strength70
Conversion readiness65

AI summary

The visitor quickly understood the site's purpose but had concerns about the refund policy and industry targeting. They were willing to try the free burn but needed more real-world examples to consider purchasing a package.

Would they buy?

Not yet

The one change

Add a clear refund policy and real-world example videos to increase trust and conversion.

AI fix list

5 findings, ranked. Every one quotes the moment it happened.

Click any timestamp to watch the reviewer say it.

High1 finding
  1. High

    Lack of refund policy clarity

    The visitor was concerned about the lack of a clear refund policy, which made them hesitant to spend $100.

    “Okay, but what if I just don't like the product? Not seeing it. That would make me hesitate at $100.”
Medium3 findings
  1. Medium

    Desire for real-world examples

    The visitor wanted to see a real example video before committing to a purchase, indicating a need for more tangible proof of value.

    “To pay, I'd want to see one real example video, not the illustration.”
  2. Medium

    Pricing structure confusion

    The pricing jump from 10 to 20 burns seemed odd to the visitor, making them question the pricing strategy.

    “Honestly, the 20 pack is a no-brainer if the 10 is $80. That's a weird jump.”
  3. Medium

    Unclear industry targeting

    The visitor was unsure if the testers would be relevant to their industry, which could affect the usefulness of the feedback.

    “Also, do these people know my industry? It says targeting by age, income, and region, but nothing about industry.”
Low1 finding
  1. Low

    Information hierarchy issue

    The visitor noted that the delivery time information should be more prominent.

    “Wait, there it is. 24 to 48 hours. That should be higher up.”

On 3+ burns of the same URL, findings that repeat across reviewers roll up into an Insight Report with quick wins and bigger bets. See how it works →

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