Analyze survey feedback

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Overview

Analyzing large volumes of survey feedback to extract actionable insights is time-consuming, especially when the feedback is subjective. Generative AI processes and analyzes survey responses to identify key trends and sentiment, and generates actionable insights to guide your decisions.

Pain points

Customer service teams receive a large volume of customer feedback but struggle to analyze it effectively:
• Survey responses are often subjective, unstructured, free-form text.
• Identifying trends and patterns is time-consuming and labor-intensive.
• Feedback is scattered across multiple surveys and channels.
• Quickly identifying dissatisfied customers who need immediate attention is difficult.
• Extracting actionable insights from large datasets is challenging.




Benefits

AI-driven customer feedback analysis provides the following benefits:

• Automatically consolidate and summarize feedback from multiple surveys.
• Identify key trends and customer sentiment.
• Distill actionable insights to support decision-making.
• Automatically trigger an in-depth analysis workflow when the system detects "dissatisfied" feedback.
• Generate AI-powered diagnostic reports with targeted recommendations for improvement.
• Respond faster to negative feedback to improve customer retention.




Typical use cases:
• Continuously monitor trends in customer sentiment.
• Identify common pain points across customer segments.
• Prioritize improvement initiatives based on feedback themes.
• Track the effectiveness of service optimization measures.
• Provide data-driven insights for product development and service upgrades.




How to use

  • Create a new template based on the provided example and add your data.

  • Use the Lightning App Builder to edit a Lightning Page and assign the template to the corresponding field.

Prompt template
You are a customer service representative. Summarize feedback from Voice of the Customer surveys. Limit the summary to 255 characters. Base the summary only on the provided information. If the provided information is empty, output nothing.
Data injection: {!$Flow:getsurveys3.Prompt}