AI feedback analysis report from customer feedback.

This example starts with customer feedback from a pricing page, trial signup flow, and onboarding entry point. Signaldeck turns those responses into themes, risks, positive signals, and suggested actions, while keeping the source context visible.

The generated report.

Turn the findings into a product decision.

These are examples of follow-up work a team might choose after reviewing the findings. The report narrows the options, but the team still decides which change is worth testing first.

Clarify

Rewrite what buyers need to compare.

Use the plan-fit theme to make pricing cards easier to scan by team stage and buying moment.

Explain

Answer the onboarding concern earlier.

Use the risk signal to show what happens after signup and how quickly a team can learn something.

Test

Run one focused pricing-page experiment.

Use the suggested actions to choose the next copy, CTA, or page-structure test.

Build a report from your own website feedback.

Start with one question on a page where a decision gets stuck, then use Signaldeck to collect responses and turn them into a feedback analysis report your team can act on.