Feedback Analytics

    Overview:

    Feedback Analytics offers a clear window into user sentiments by aggregating ratings, response rates, and satisfaction scores for both bots and agents. With these insights, you can pinpoint service strengths, uncover areas for improvement, and drive higher customer satisfaction.


  • Access Path

    Analytics → Feedback Analytics

    1. Open Analytics from the left menu.
    2. Click the Feedback Analytics tab at the top.
    3. The dashboard displays overall metrics and individual feedback entries.


  • Key Metrics
    • Total Ratings: Sum of all rating values received over the chosen period—quickly gauges overall satisfaction.
    • Response Rate: Percentage of chats that resulted in user feedback—measures how actively users share their opinions.
    • CSAT Score: Average Customer Satisfaction Score (1–5 scale)—reflects immediate satisfaction with the interaction.
    • NPS Score: Net Promoter Score (%)—indicates how likely users are to recommend your service.

  • Feedback List
  • A scrollable table shows every piece of feedback with:

    • Chat Room Name: Identifier for the conversation.
    • User Number: Phone number of the respondent.
    • Rating: Numeric score given (e.g., 1–5).
    • Feedback Comment:User’s text feedback (e.g., “Very satisfied,” “Needs improvement”).
    • Agent Name:Name of the agent or bot that handled the chat.
    • Timestamp: Date and time when feedback was submitted.

  • Navigation & Controls
    • Time Filter: Select custom date ranges (last 7 days, month-to-date, etc.).
    • Bot Filter: Drill down by specific bot or “All.”
    • Export Data: Download the feedback table as CSV for offline review.
    • Refresh: Reload to fetch the latest feedback in real time.

  • Use Case Example
  • A fintech company tracks customer feedback after implementing a new loan-app bot:

    • Total Ratings: 150 ratings in one week
    • CSAT Score: 4.2 out of 5
    • Response Rate: 75% of completed chats
    • NPS Score: 45% promoters

Analysis shows lower ratings (2–3) cluster around repayment-query conversations. The team adds clearer repayment instructions to the script, boosting CSAT by 8% in the following week.

By routinely monitoring Feedback Analytics, you can swiftly address pain points, reinforce positive experiences, and ensure your chat and voice bots, as well as your agents, consistently deliver top-tier service.