FairDesk Tools · $0.005/use · No signup needed

Instant Customer Sentiment Analysis

Paste any customer message. Get sentiment score, urgency level, churn risk, and emotional signals in seconds.

Example

Input

Your checkout has been broken for the THIRD time this month. I can't process any orders. This is costing me real money every hour it's down. I've submitted tickets about this twice already and nothing has changed. I'm seriously looking at switching to Shopify.

Output

{
  "sentiment_score": -2,
  "sentiment_label": "Very Negative",
  "urgency": "URGENT",
  "emotional_signals": [
    { "signal": "THIRD time this month", "interpretation": "Recurring failure escalating frustration" },
    { "signal": "costing me real money", "interpretation": "Direct financial impact creating urgency" },
    { "signal": "switching to Shopify", "interpretation": "Actively evaluating alternatives — churn signal" },
    { "signal": "submitted tickets twice already", "interpretation": "Communication failure — feels ignored" }
  ],
  "churn_risk": "CRITICAL",
  "confidence": 0.95,
  "summary": "Customer is experiencing repeated service failures with direct revenue impact and is actively considering competitors — immediate escalation and resolution required."
}

Frequently asked

What sentiment scale does this use?: We use a 5-point scale from -2 (Very Negative) to +2 (Very Positive). This gives more nuance than positive/negative binary and maps directly to support triage priorities.
How accurate is the sentiment analysis?: Our analysis passes a multi-dimensional quality gate on every execution. Accuracy is benchmarked at 85%+ agreement with human raters across diverse message types. If the quality gate fails, you are not charged.
Can I analyze messages in languages other than English?: The underlying model supports 100+ languages. Accuracy is highest for English, Spanish, French, German, and Portuguese. For other languages, check the confidence score — below 0.7 suggests the analysis may be less reliable.
Is my data stored or used for training?: Anonymous analyses are not stored after your session ends. Signed-in analyses are saved to your account for history and can be deleted at any time. Your data is never used to train AI models.
How is this different from ChatGPT?: This tool applies a support-specific sentiment taxonomy with structured output (score, urgency, churn risk, signals). ChatGPT gives unstructured prose. Our output is consistent, machine-readable, and tuned for support operations — not general conversation.