Reports

The Reports section gives you visibility into how Konrado.AI is performing and how your team is using AI-generated responses.

Overview

Navigate to Reports in the sidebar. The dashboard provides several report types to track different aspects of AI performance.

Available Reports

Adaptation Rate

Shows the percentage of AI-generated replies that were seen and used by your support team over time. This is your primary metric for AI adoption.

• High adaptation rate (above 70%) — The AI is producing useful responses your team trusts
• Low adaptation rate (below 30%) — Review your Tweaking instructions and Knowledge Base content

Adaptation Count

Displays absolute numbers of generated, seen, and used replies. Useful for understanding volume trends alongside the percentage-based adaptation rate.

Replies Quality

Breaks down AI-generated reply quality into categories:

• Quality Count — Absolute numbers of responses by quality tier
• Quality Percent — Percentage distribution of response quality

System Quality

Similar to Replies Quality, but focused on system-level generated responses:

• System Quality Count — Absolute breakdown
• System Quality Percent — Percentage breakdown

Ticket Messages

Shows the average number of messages per ticket over time. A decreasing trend indicates the AI is helping resolve issues faster with fewer back-and-forth exchanges.

Filtering

Use the controls at the top of the page to narrow your data:

• Users Type — Filter by user role
• Users — Select specific team members
• Date Range — Choose a time period (e.g., Last 30 days)

Each report card shows a summary with key metrics and a time-based chart. Click See details on any card to drill into the full report.

Using Reports for Optimization

Reports are your feedback loop for continuous improvement:

1. Weekly review — Check adaptation rate trends to catch regressions early
2. After Knowledge Base updates — Monitor if new content improves response quality
3. After Tweaking changes — Verify that instruction changes have the desired effect
4. Team onboarding — Track adoption as new team members start using the extension