Turn scattered customer feedback into clear action, faster.
Get the Customer Experience Manager briefIn 2026, AI handles much of the heavy lifting in customer experience work, from tagging and summarizing thousands of survey responses to flagging sentiment shifts in support tickets. It drafts personalized customer replies, builds first versions of journey maps, and surfaces which complaints are growing week over week. This frees Customer Experience Managers to focus on fixing root causes and making the case for change to leadership.
Paste these into Claude or ChatGPT and replace the bracketed parts with your own details.
Here are [number] open-ended survey responses. Group them into the top 7 themes, count how many comments fall under each, and give one representative quote per theme: [paste responses]Write a warm, specific apology email to a customer who experienced [issue]. Acknowledge the problem, explain what we are doing about it, and offer [resolution]. Keep it under 150 words and avoid corporate jargon.Review these support tickets and survey scores from the last 90 days for account [account name]. List any patterns suggesting this customer may be at risk of leaving and rank them by severity: [paste data]Create a draft customer journey map for a [customer type] using our product [product]. Include stages, customer goals, common pain points, and emotions at each stage. Mark the moments most likely to cause churn.Turn these CSAT and NPS results into a one-page summary for executives. Lead with the 3 most important findings, include the numbers, and end with 3 recommended actions: [paste results]One AI tool, one prompt, and one trick for Customer Experience Managers, every weekday morning. Free.