AI and Generative AI tools are getting richer and increasingly able to take on complex tasks. One of the areas where AI tools will shine is analysis of customer feedback. Following steps layout a framework for implementing AI based customer feedback process in your organization.

Step 1: Collect diverse customer feedback

Feel free to collect large amount of feedback from a variety of customer segments. Utilize a diverse set of channels (web, surveys, emails, interviews etc.)

Step 2: Implement AI algorithms for sentiment analysis

Develop or implement AI algorithms that can analyze sentiment from data. Segment or cluster data based on sentiment analysis

Step 3: Integrate feedback systems with AI tools

Enable AI tools to process raw feedback and sentiment data, generating actionable insights.

Step 4: Continuously train AI models with new data

Regularly update AI models with new data to enhance accuracy and relevance. Establish an ongoing training process.

Step 5: Analyze and act on AI-generated insights

Evaluate AI recommendations, identify potential biases, and decide on actions.

By implementing this framework, marketers and product managers can cut down the amount of time in sifting manually through the customer feedback data and uncover insights that could positively and significantly improve company's product or service offering.