Analytics and Insights
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Numbers of conversations. AI Resolved questions, marked as resolved by the user. Questions answered. Ie: 106 questions. Of which 10% could not be answered. See amount of questions asked per day, week, month year. Sentiment Analysis: * Track the sentiment of customer interactions to understand overall customer satisfaction. * Identify patterns in sentiment across different times of the day or week to optimize staffing or product offerings. Topic Clustering: * Determine the most common subjects or themes customers are inquiring about, which can help in improving FAQs or product development. Generate white labeled report and send via email of choice. We can generate insight reports from the questions asked to our AI This will show you the most common questions and question themes from the users. Content of the report: (based on selected span, daily, weekly, monthly and yearly). Top 10 Themes. High level wide. (That Ai could answer) (exampel) 1. What help can you give 2. Question related to mental health issues 3. How to handel challenge’s in life 4. Techniques to cope with anxiety (mindfulness, meditation, psychotherapy, medication) 5. Privacy concerns about using Ai Most common theme: Theme with stats ie (30 questions, 34% of total questions). (Exampels) - How does this service work? - Is the answers evidence based and can they be trusted? - What can you help me with? 2nd most common theme with stats. 3rd most common theme with stats 4th most common theme with stats. 5th most common theme with stats. Least common theme with stats. Top 10 Themes. High level wide. (That Ai could not answer) Most common THEME: Theme with stats (30 questions, 34% of total questions). 2nd most common theme with stats. 3rd most common theme with stats 4th most common theme with stats. 5th most common theme with stats.
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