Usage & Feedback Management

Overview

This document describes the usage analytics dashboards and the feedback module available in Powell Buddy, helping administrators monitor AI consumption and collect end-user feedback to continuously improve agents.

 

Usage analytics 

Overview
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Key metrics

  • Total token consumption

  • Total number of requests

  • Total unique users

Time filters

  • Last 6 months

  • Last 3 months

  • This month

Breakdown by model and agent

  • List of AI models used (e.g., Azure OpenAI, gpt-4.1)

  • For each agent: tokens consumed, requests, unique users

Usage by agent

Agent-by-agent details

  • Tokens used

  • Number of requests

  • Unique users

Request history

  • Full request log with details (date, user, tokens for question/answer)

Navigation

  • Filter, sort, and browse the complete history

Consumption control

  • Monthly global limits: set a token consumption cap for all agents

  • Per-user limits: cap monthly usage per user to ensure fairness and cost control

  • Alerts & monitoring: track threshold usage and manage consumption proactively


Feedback module – Admin view

Overview
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Key metrics

  • Total feedback count (positive/negative)

  • Breakdown by agent

Agent-level details

  • Number of positive vs. negative feedback items

  • Access to each feedback entry (date, comment, feedback type)

Feedback details by agent

Feedback list includes

  • User email address (if provided)

  • Feedback date and time

  • Associated comment

  • Direct view of the question that generated the feedback

 

Feedback module - End-user interface

The end-user feedback UI is available at the end of each interaction with a Powell Buddy agent.

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Positive feedback (“Helpful”)

  • 👍 icon: users can indicate the answer was helpful

  • Form

    • Optional comment field: “Tell us what worked well…”

    • Transparency notice: user is informed their email will be shared with the administrator to improve the service

    • Submit button to send feedback

Negative feedback (“Not satisfactory”)

  • 👎 icon: users can indicate the answer was not satisfactory

  • Form

    • Checkboxes (reason selection):

      • The agent didn’t do what I expected.

      • The answer was incorrect or misleading.

      • The agent didn’t understand my request.

      • The response was too slow or unclear.

      • I didn’t like the tone or format of the answer.

      • Other

    • Optional comment field for additional details

    • Transparency notice about sharing the email with the administrator

    • Submit button to send feedback

 

Key points & best practices

  • Transparency: users are explicitly informed that their email will be shared when submitting feedback.

  • Feedback exploitation: administrators access a centralized dashboard to analyze feedback and improve agents.

  • Security & compliance: feedback is handled in line with the organization’s privacy and data governance policies.

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