The AI call quality analysis report in Ringostat allows you to evaluate the work of managers and customer interactions without the need to listen to each call manually.
AI automatically determines:
dialogue stages and the quality of how managers navigate them;
problematic moments in conversations;
calls that require supervisor attention;
average performance level of the team and individual employees;
customer and manager sentiment.
All key metrics - dialogue scores, problematic calls, customer sentiment, employee effectiveness, etc. are collected in one report. This allows you to quickly see overall dynamics and analyze service quality.
Let's take a detailed look at how the new report works, what data it contains, and how to interpret the scores generated by artificial intelligence.
Data Display
General Overview - Conversation Stages Assessment
This is the first section of the report, which shows how well managers navigate key dialogue stages. It displays:
Average rating of all AI-analyzed conversations (on a scale from 1 to 5).
Number of calls analyzed by AI
Call quality statistics:
number of excellent calls (score from 4 to 5),
problem calls (score from 1 to 2),
calls requiring supervisor review.
Evaluation of each conversation stage with corresponding color indicator.
Client mood. Representative mood.
Data in the report is formed according to the selected AI profile.
Each profile contains its own conversation stage template. Stage name translations are already built into the interface.
Color coding:
red — less than 3.0 (needs improvement)
orange — 3.0–4.0 (satisfactory)
green — 4.0–5.0 (good)
Data updates when changed: AI profile, period, department, employee name.
There is an option to perform quick search by department, employee full name.
"By Managers" Table
This tab shows ratings and detailed analysis of employees, based on all calls evaluated by AI for the selected period.
The table includes:
Employee full name
their call count
average score
% of calls requiring attention
number and % of problematic calls
Color logic in the table:
Average score
red: < 3.0
orange: 3.0–3.9
green: ≥ 4.0
% requires attention
red: ≥ 20%
orange: 10–20%
green: < 10%
% problematic calls
red: ≥ 25%
orange: 10–25%
green: < 10%
The AI analysis report in Ringostat allows you to:
instantly evaluate dialogue quality;
see problematic areas in sales or support scripts;
compare employee effectiveness;
quickly identify who needs additional training;
track dynamic changes over time.
This is a fully automated analysis that saves dozens of hours on listening to calls and makes quality assessment objective and scalable.