Automated customer feedback workflow that drives action

An automated customer feedback workflow is essential for effectively utilizing feedback to drive product decisions, as highlighted in a Qualtrics report showing that only 29% of frontline feedback reaches product teams despite high consumer expectations for better listening. This workflow addresses the common issue of feedback living in silos by collecting responses from various channels, classifying them using large language models (LLMs) by theme, sentiment, and urgency, and routing actionable items to the appropriate teams, such as engineering or product management, for response. CodeWords facilitates such automation by integrating tools like Airtable and Slack, enabling a comprehensive feedback system that not only synthesizes data to identify patterns and emerging themes but also closes the feedback loop by notifying customers when their suggestions result in product changes. This approach not only enhances the accuracy of feedback processing compared to manual methods but also significantly impacts company revenue by ensuring prioritized improvements, as confirmed by a Medallia study, while also offering the flexibility to manage high volumes and multilingual feedback through advanced classification and routing techniques.

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