AI Customer Sentiment and Review Dashboard
A sentiment aggregation dashboard that pulls reviews and social mentions from multiple sources, classifies sentiment with AI, tracks trends over time, and alerts you when negative sentiment spikes. Like a media monitoring tool built for small business budgets.
What it does
The dashboard UI with charts, timelines, and filters is a standard pattern AI builders handle well. Sentiment classification is a straightforward LLM API call: send the text, get back a label and score. The complexity is in the data ingestion integrations (scraping reviews, connecting social APIs), which require manual API setup and rate limit handling. Budget extra time for testing each data source connection.
The dashboard UI with charts, timelines, and filters is a standard pattern AI builders handle well. Sentiment classification is a straightforward LLM API call: send the text, get back a label and score. The complexity is in the data ingestion integrations (scraping reviews, connecting social APIs), which require manual API setup and rate limit handling. Budget extra time for testing each data source connection.
Build prompt
Build a customer sentiment dashboard that aggregates reviews, social mentions, and support tickets into one sentiment feed. Include: connections to Google Reviews, Yelp, Trustpilot, Twitter/X mentions, and an email inbox for support tickets. AI sentiment classifier that tags each mention as positive, neutral, or negative with a confidence score and identified themes (pricing, quality, service, shipping). A timeline view showing sentiment trends over time with anomaly detection for sudden spikes in negativity. A topic clustering view grouping mentions by theme. Alert system that notifies when negative sentiment crosses a threshold. Export reports as PDF for stakeholders.
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