Example journey reports

What an evidence-backed friction report should feel like.

These examples use fictional pages, but the structure is the real FrictionPilot direction: evidence, buyer hesitation, impact, fix guidance, and retest proof.

Run your own test Open sample report

Evidence report

SaaS pricing page validation

Skeptical evaluator choosing a plan

Plan-choice hesitation

The page explains the product, but the buyer cannot confidently choose a plan because usage limits, onboarding expectations, and proof are too far from the pricing decision.

Evidence

Screenshots, visible text, CTAs, forms, links, and page context.

Finding

The specific friction, trust gap, or clarity issue found in the journey.

Impact

Why this could make a buyer hesitate, abandon, delay, or ask for more proof.

Fix

A concrete page change plus acceptance checks and retest guidance.

Evidence

Screenshots, visible text, CTAs, forms, links, and page context.

Finding

The specific friction, trust gap, or clarity issue found in the journey.

Impact

Why this could make a buyer hesitate, abandon, delay, or ask for more proof.

Fix

A concrete page change plus acceptance checks and retest guidance.

Skeptical evaluator choosing a plan

SaaS pricing page validation

Score

Plan-choice hesitation: The page explains the product, but the buyer cannot confidently choose a plan because usage limits, onboarding expectations, and proof are too far from the pricing decision.

Evidence signals

Plan cards list features but do not explain best-fit customer type.

Security and proof signals appear below the primary pricing decision.

The page does not clearly explain what happens after signup.

Recommended fix

Add best-fit guidance inside plan cards, move proof beside pricing, and add a short post-signup expectation block.

Cold visitor arriving from a campaign

Paid ad landing page readiness

Score

Wasted traffic risk: The page is usable, but the hero does not repeat the likely ad promise strongly enough. A visitor may feel the click led to a broader page than expected.

Evidence signals

Hero headline is broader than the campaign promise.

Proof appears after the first CTA and form area.

The form asks for commitment before the visitor knows what happens next.

Recommended fix

Mirror the ad promise in the hero, move proof above the fold, and explain the form outcome before asking for details.

First-time shopper from social traffic

WooCommerce product page trust check

Score

Add-to-cart hesitation: The product can be purchased, but delivery, returns, reviews, and product-fit reassurance are not close enough to the add-to-cart decision.

Evidence signals

Shipping expectations are not visible near the purchase button.

Return policy exists but is not summarized on the product page.

Reviews are present but not used to answer common objections.

Recommended fix

Place shipping, returns, guarantee, and objection-specific review snippets near the add-to-cart area.

AI assistant summarizing the offer for a buyer

AI-agent readiness

Score

AI summary and recommendation risk: The website looks understandable to a human, but an AI assistant may struggle to extract the exact category, target customer, use cases, proof, limitations, and differentiation.

Evidence signals

Core positioning uses broad benefit language without a precise category definition.

Use cases are shown visually but not always stated as extractable text.

Comparison, pricing path, security, and buyer-fit details are scattered.

Recommended fix

Add clear product definition, best-fit use cases, proof, pricing path, limitations, and comparison facts in visible text.

The first real report should answer one question.

What is the most likely reason this buyer would hesitate before taking the next step?

Run test See methodology

Example journey reports

What an evidence-backed friction report should feel like.

These examples use fictional pages, but the structure is the real FrictionPilot direction: evidence, buyer hesitation, impact, fix guidance, and retest proof.

Run your own test Open sample report

Evidence report

SaaS pricing page validation

Skeptical evaluator choosing a plan

Plan-choice hesitation

The page explains the product, but the buyer cannot confidently choose a plan because usage limits, onboarding expectations, and proof are too far from the pricing decision.

Evidence

Screenshots, visible text, CTAs, forms, links, and page context.

Finding

The specific friction, trust gap, or clarity issue found in the journey.

Impact

Why this could make a buyer hesitate, abandon, delay, or ask for more proof.

Fix

A concrete page change plus acceptance checks and retest guidance.

Evidence

Screenshots, visible text, CTAs, forms, links, and page context.

Finding

The specific friction, trust gap, or clarity issue found in the journey.

Impact

Why this could make a buyer hesitate, abandon, delay, or ask for more proof.

Fix

A concrete page change plus acceptance checks and retest guidance.

Skeptical evaluator choosing a plan

SaaS pricing page validation

Score

Evidence signals

Plan cards list features but do not explain best-fit customer type.

Security and proof signals appear below the primary pricing decision.

The page does not clearly explain what happens after signup.

Recommended fix

Add best-fit guidance inside plan cards, move proof beside pricing, and add a short post-signup expectation block.

Cold visitor arriving from a campaign

Paid ad landing page readiness

Score

Wasted traffic risk: The page is usable, but the hero does not repeat the likely ad promise strongly enough. A visitor may feel the click led to a broader page than expected.

Evidence signals

Hero headline is broader than the campaign promise.

Proof appears after the first CTA and form area.

The form asks for commitment before the visitor knows what happens next.

Recommended fix

Mirror the ad promise in the hero, move proof above the fold, and explain the form outcome before asking for details.

First-time shopper from social traffic

WooCommerce product page trust check

Score

Add-to-cart hesitation: The product can be purchased, but delivery, returns, reviews, and product-fit reassurance are not close enough to the add-to-cart decision.

Evidence signals

Shipping expectations are not visible near the purchase button.

Return policy exists but is not summarized on the product page.

Reviews are present but not used to answer common objections.

Recommended fix

Place shipping, returns, guarantee, and objection-specific review snippets near the add-to-cart area.

AI assistant summarizing the offer for a buyer

AI-agent readiness

Score

Evidence signals

Core positioning uses broad benefit language without a precise category definition.

Use cases are shown visually but not always stated as extractable text.

Comparison, pricing path, security, and buyer-fit details are scattered.

Recommended fix

Add clear product definition, best-fit use cases, proof, pricing path, limitations, and comparison facts in visible text.

The first real report should answer one question.

What is the most likely reason this buyer would hesitate before taking the next step?

Run test See methodology