Sample report

Evidence-backed report, not vague audit notes.

This sample shows the structure FrictionPilot aims for: captured evidence, clear scores, buyer hesitation, prioritized fixes, delivery controls, and a retest path.

Run your report →See pricing

Report

Journey verdict

Pricing page needs decision support.

The page is credible, but a cautious buyer may hesitate because pricing guidance, proof, setup expectations, and comparison facts are not close enough to the decision point.

Clarity

Trust

CTA

AI-agent readiness

Clarity

Offer is understandable, but plan fit is unclear

Trust

Proof appears too late in the decision path

CTA

Next action is visible but not fully reassured

AI-agent readiness

Recommendation facts are incomplete

Top findings

Each finding connects evidence to buyer impact.

Pricing clarity

The buyer cannot confidently choose a plan from the pricing section alone.

High severity

Finding

Pricing clarity

Evidence

Plan cards list features, but they do not explain which plan fits which customer type, usage level, or risk profile.

Buyer impact

A skeptical buyer may delay signup, contact support unnecessarily, or leave to compare competitors with clearer plan guidance.

Recommended fix

Add best-fit guidance inside each plan card and include a short 'what happens after signup' note near the primary CTA.

Trust

Security and proof are separated from the moment where the buyer decides.

Medium severity

Finding

Trust

Evidence

Customer proof, security reassurance, and implementation notes appear lower on the page than the pricing decision area.

Buyer impact

The buyer has to keep scrolling after doubt appears, which increases abandonment risk before the CTA is clicked.

Recommended fix

Move a short trust strip beside pricing: customer proof, security note, setup expectation, and cancellation reassurance.

AI-agent readiness

An AI assistant can summarize the product but cannot verify differentiation clearly.

Medium severity

Finding

AI-agent readiness

Evidence

The page states broad benefits but does not provide enough extractable comparison facts, best-fit use cases, or limitations.

Buyer impact

AI-assisted buyers may receive a vague summary or compare the product as a generic alternative instead of a specific solution.

Recommended fix

Add a plain-language product definition, best-for / not-for bullets, comparison points, and two concrete workflow examples.

After the report

The report should lead to action.

FrictionPilot should not stop at diagnosis. The report connects to fix planning, handoff, sharing, feedback, retesting, and comparison proof.

Fix plan

Turn findings into prioritized implementation tasks.

Handoff

Create developer or marketer-ready notes.

Proof packet

Package the report, evidence, links, and next action.

Retest

Run the same journey again after visible changes.

Compare

Show what improved, what remains, and what changed.

Use this as the quality bar

The real product must make every report feel specific, explainable, and useful.

Clarity72

Trust58

CTA63

AI-agent readiness64

Run test More examples

Sample report

Evidence-backed report, not vague audit notes.

This sample shows the structure FrictionPilot aims for: captured evidence, clear scores, buyer hesitation, prioritized fixes, delivery controls, and a retest path.

Run your report →See pricing

Report

Journey verdict

Pricing page needs decision support.

The page is credible, but a cautious buyer may hesitate because pricing guidance, proof, setup expectations, and comparison facts are not close enough to the decision point.

Clarity

Trust

CTA

AI-agent readiness

Clarity

Offer is understandable, but plan fit is unclear

Trust

Proof appears too late in the decision path

CTA

Next action is visible but not fully reassured

AI-agent readiness

Recommendation facts are incomplete

Top findings

Each finding connects evidence to buyer impact.

Pricing clarity

The buyer cannot confidently choose a plan from the pricing section alone.

High severity

Finding

Pricing clarity

Evidence

Plan cards list features, but they do not explain which plan fits which customer type, usage level, or risk profile.

Buyer impact

A skeptical buyer may delay signup, contact support unnecessarily, or leave to compare competitors with clearer plan guidance.

Recommended fix

Add best-fit guidance inside each plan card and include a short 'what happens after signup' note near the primary CTA.

Trust

Security and proof are separated from the moment where the buyer decides.

Medium severity

Finding

Trust

Evidence

Customer proof, security reassurance, and implementation notes appear lower on the page than the pricing decision area.

Buyer impact

The buyer has to keep scrolling after doubt appears, which increases abandonment risk before the CTA is clicked.

Recommended fix

Move a short trust strip beside pricing: customer proof, security note, setup expectation, and cancellation reassurance.

AI-agent readiness

An AI assistant can summarize the product but cannot verify differentiation clearly.

Medium severity

Finding

AI-agent readiness

Evidence

The page states broad benefits but does not provide enough extractable comparison facts, best-fit use cases, or limitations.

Buyer impact

AI-assisted buyers may receive a vague summary or compare the product as a generic alternative instead of a specific solution.

Recommended fix

Add a plain-language product definition, best-for / not-for bullets, comparison points, and two concrete workflow examples.

After the report

The report should lead to action.

FrictionPilot should not stop at diagnosis. The report connects to fix planning, handoff, sharing, feedback, retesting, and comparison proof.

Fix plan

Turn findings into prioritized implementation tasks.

Handoff

Create developer or marketer-ready notes.

Proof packet

Package the report, evidence, links, and next action.

Retest

Run the same journey again after visible changes.

Compare

Show what improved, what remains, and what changed.

Use this as the quality bar

The real product must make every report feel specific, explainable, and useful.

Clarity72

Trust58

CTA63

AI-agent readiness64

Run test More examples