Collect, analyze, and use customer feedback in one lightweight workflow

Use a website or in-app feedback widget to ask focused questions, review AI-assisted themes with the source responses still available, and connect current feedback to ChatGPT, Claude, or another MCP-compatible agent.

Start collecting feedback free

Collect website and in-app feedback

Choose the collection path that matches the moment you need to understand. Each response stays connected to the question and source context that produced it.

  • Collection

    Feedback widget for websites and web apps

    Install one widget, then open text or rating questions from a built-in launcher, your own UI, product code, or a timed prompt.

    Explore feedback widget mechanics

  • Website research

    On-page surveys for website feedback

    Ask visitors about pricing, signup, landing, feature, or documentation friction while the page is still in front of them.

    Explore on-page website feedback

  • Product research

    In-app feedback for SaaS

    Ask during onboarding, adoption, upgrade, and churn moments with optional account and product context attached.

    Explore in-app feedback workflows

Analyze text and rating responses without losing the evidence

AI-assisted analysis organizes a response set into an overview, common themes, positive signals, risks, confidence, suggested actions, and response count. Original submissions remain available for verification.

  • Analysis

    AI feedback analysis

    Move from repeated responses to a focused report while keeping the source evidence within reach.

    Explore AI feedback analysis

Connect customer feedback to AI tools through MCP

Give ChatGPT, Claude, and compatible agents scoped, read-only access to projects, submissions, response search, and current summaries already held in Signaldeck.

Keep one feedback workflow connected from question to follow-up

The capabilities work together as a repeatable loop rather than separate tools.

  1. Ask

    Choose one focused question

    Start with a decision the answer can change.

  2. Collect

    Gather contextual responses

    Keep the question, page, and optional user or product context attached.

  3. Analyze

    Surface what repeats

    Use AI-assisted analysis for themes, risks, confidence, and suggested actions.

  4. Verify

    Return to the original evidence

    Read the submissions behind a pattern before acting.

  5. Act

    Choose the smallest useful next move

    Fix, test, explain, or investigate the strongest signal.

  6. Ask again

    Continue the feedback loop

    Use the next response set to learn what changed.