Customer Feedback Analyzer

Paste raw customer feedback from support tickets, NPS surveys, app reviews, or user interviews. SPM clusters themes, scores severity, and turns scattered complaints into a prioritized action plan with owners and success metrics.

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How it works

  1. 1
    Paste your raw feedback

    Support tickets, NPS survey responses, app store reviews, user interviews, or any mix. No formatting needed. SPM handles messy, multi-channel input.

  2. 2
    SPM clusters and scores

    The AI groups feedback into themes by product area, tags sentiment, counts frequency, identifies affected user segments, and scores business impact for each cluster.

  3. 3
    Get a prioritized action plan

    Each insight includes a root cause hypothesis, recommended action, named owner, success metric with target, and strategic alignment. Quick wins are flagged for immediate action.

What you get

Theme clustering with frequency

Feedback items grouped by product area with exact counts. No more guessing which problem is mentioned most.

Severity and impact scoring

Each theme scored on business impact (churn risk, revenue, NPS) and user impact (segment, volume). High-severity items surface first.

Root cause hypotheses

Goes beyond symptoms to structural causes. "Checkout crashes" becomes "Apple Pay SDK version incompatibility after iOS 18 update."

Prioritized action plan with owners

Every insight maps to a specific next step, a named team, a measurable success metric, and strategic alignment.

FAQ

What kind of feedback works best?
Any customer feedback: support tickets, NPS survey responses, app store reviews, user interview transcripts, Slack messages from customers, CSAT surveys, or even informal notes. Mix channels for the richest analysis.
Is this free?
Yes. 2 free analyses, no sign-up required. Sign in with Google for unlimited access and 30 expert document reviews.
How is this different from asking ChatGPT to analyze feedback?
ChatGPT gives you a summary. SPM applies 16 evaluation criteria across categorization, insight extraction, prioritization, and actionability. You get theme clusters with frequency counts, severity scoring, root cause hypotheses, and a prioritized action plan with named owners and success metrics.
Can I paste feedback from multiple channels?
Yes. Mixing support tickets, NPS, and app reviews gives SPM more signal. It identifies which channels report which problems and cross-references patterns.
What else can SPM do?
30 expert reviews for PRDs, user stories, competitive analyses, roadmaps, and more. See all reviews →