Understand what's making buyers hesitate
Find recurring questions about plans, pricing, or setup. Address the uncertainty visitors describe before guessing at another page change.
Spend less time sorting with AI feedback analysis
Signaldeck analyzes recent text and rating responses collected through its widget or API-connected forms, bringing recurring themes and suggested actions into one report so your team can focus on the customer problems worth fixing.
See what customers are telling you at a glance
In this example, 18 pricing and signup responses point to unclear plan differences and setup expectations. That's a reason to test a clearer explanation before changing the price.
Feedback analysis report
Pricing-page feedback report
Generated from signup and pricing-page feedback
Overview
What people are telling you
Eighteen pricing-page and signup responses point to a clear pattern: visitors understand the core promise, but they hesitate because Free-plan fit, upgrade expectations, and onboarding effort are still unclear.
Themes
Common patterns
- Plan fit
- Signup friction
- Onboarding expectations
Positive signal
What is working
- Respondents describe the product as relevant to a painful workflow they are already trying to improve.
- Several visitors mention that the landing page explains the problem clearly enough to make them compare plans instead of bouncing.
- The Free plan is seen as a low-risk way to evaluate the product before adding another SaaS tool to the team stack.
Risk signal
What needs attention
- Plan differences are hard to compare when someone is trying to decide quickly between Free, Starter, and Growth.
- Buyers want one concrete product example before choosing a paid plan, especially if the tool will affect onboarding, activation, or customer feedback workflows.
- A few responses suggest that pricing-page feedback is pointing to unclear implementation effort rather than price resistance alone.
Action signal
Suggested actions
- Rewrite plan cards around team stage: evaluating alone, small team, and growing product-led team.
- Add a short example that shows what a team learns from signup feedback in the first week.
- Clarify what is included on Free and what changes after the team upgrades.
- Test a pricing-page CTA against a free-start CTA for visitors coming from product feedback and onboarding content.
Put your next improvement where it matters
Give your team a clearer starting point for the changes that help people buy, get started, and find value.
Explore website feedback
Find the friction new users keep meeting
Spot repeated confusion in onboarding or feature feedback. Focus your team's effort on the obstacles keeping users from the value they expected.
Questions about AI feedback analysis
What does Signaldeck’s AI feedback analysis produce?
Signaldeck turns recent text and rating responses into a report with:
- Recurring themes
- Positive and negative signals
- Suggested actions
- A confidence level
Instead of sorting comments into categories by hand, your team gets a focused starting point for investigation. Repeated confusion about plan differences, for example, can suggest testing clearer pricing copy before changing the price.
What feedback can Signaldeck analyze?
Signaldeck analyzes responses collected in its forms through the widget or API, using answer content, ratings, and the questions people answered. That makes it useful for reviewing pricing, onboarding, feature, or cancellation feedback in one consistent report format.
Page URLs and customer metadata remain with the original submissions for separate review; they are not inputs to the summary.
Can we check the original feedback before acting on an AI summary?
Yes. Your team can review original submissions in Signaldeck, including the answers, questions, and available page or customer context. Reports also show response counts and confidence to help you weigh the findings.
This gives a product discussion both a quick overview and detail to investigate, while leaving room to check ambiguous answers or concerns a summary may have missed.
Find the customer problems worth fixing next
Turn scattered comments into recurring themes and suggested actions, so your team can focus on what to improve next.