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Real-time AI analysis that reveals what makes great conversations great. Track quality, sentiment, and actionable insights across every call with intelligent automation.

0
Total Calls
+18%Last 30 days
0%
Call Quality
+5%Excellent
0%
Conversation Score
+8%Good
0s
Response Time
-12%Improving

Call Transcript

Full conversation with sentiment analysis

00:0001:25
Agent00:00

Good afternoon, thank you for calling. This is Sanjay from Talkwisely Support. How may I help you today?

Customer00:08

Hi Sanjay. I'm calling about our call analytics dashboard — the sentiment scores seem off since last week.

Agent00:18Root Cause

I understand. Let me pull up your account. I can see there was a model update on Thursday that may have affected scoring. Let me check the details.

Customer00:32

That lines up — we noticed the change on Friday morning. Our team flagged several calls that were marked negative but sounded fine.

Agent00:45Resolution

You're right. The update adjusted sensitivity thresholds. I've recalibrated your account to the previous settings and queued a re-analysis of last week's calls. You should see corrected scores within the hour.

Customer01:02

That's exactly what we needed. Thanks for the quick fix, Sanjay!

Agent01:10Proactive

Happy to help! I'll also set up an alert so you're notified automatically if scoring thresholds change in the future.

Customer01:20

That would be great. Really appreciate the thorough support. Have a good day!

Quality Score Breakdown

Detailed performance across key metrics

Compliance Accuracy
Opening standards and protocol adherence
92%

Mandatory call opening standards criteria met

Communication Quality
Vocal delivery and engagement standards
Vocal Tone & Engagement88%
Active Listening & Clarity91%
Empathy & Accountability85%
Professional Conduct
Emotional intelligence and service excellence
89%

Excellence rating

High Emotional IntelligenceService Excellence

Performance Metrics

Key conversation insights at a glance

Call Type

INBOUND · ANSWERED

Total Duration

00:01:25

Interruptions

2 (Low)

Agent WPM

142

55% of total talk time

Customer WPM

118

45% of total talk time

Talk Time Distribution
Agent 41%
Customer 59%
Interruptions9 detected

Sentiment Analysis

Emotional tone throughout the conversation

Sentiment Timeline

Emotional tone over the call duration

Customer
Agent
-2-10+1+2+30:000:301:001:302:00

Customer Peak

+3

Customer Low

-2

Agent Peak

+3

Agent Low

0

Call Summary

Essential details and conversation flow

Participants & Details

RS

Customer

Rahul Sharma

NK

Agent

Neha Kapoor

Company

Zenith Solutions Pvt Ltd

Call Type

Inbound · Support

Resolution

Resolved on Call

Summarised Discussion

  • 00:00

    Agent greets customer and verifies account details for Zenith Solutions

  • 00:12

    Customer inquires about upgrading their current subscription plan

  • 00:30

    Agent explains available plan options and pricing differences

  • 00:52

    Customer requests a walkthrough of premium features and billing cycle

  • 01:08

    Agent processes the plan upgrade and confirms new billing details

  • 01:20

    Call concludes with confirmation email sent and next steps outlined

Insights & Actions

AI-powered coaching opportunities and follow-up tasks

Key Insights

Customer was clearly articulate about the issue, reducing resolution time significantly

Agent demonstrated strong product knowledge when explaining plan options and pricing

Positive rapport established through active listening and use of customer's name

Call resolved in under 2 minutes — well below the 4-minute team average

No hold time recorded — agent had all required information readily available

Customer tone shifted from neutral to positive after agent explained the upgrade benefits

Agent used open-ended questions effectively to understand the customer's exact needs

Action Items
0/7
Recommendations

Offer proactive plan comparisons when customers inquire about upgrades

Confirm billing changes verbally before processing to reduce disputes

Send follow-up summary emails within 30 minutes of call resolution

Use customer name at least twice during the conversation for rapport

Summarise key points before ending the call to ensure mutual understanding

Mention available self-service options for common account changes

Flag high-satisfaction calls for team training and best-practice sharing

AI QA Analysis

Automated quality assurance checks

6 Passed
3 Partial
1 Failed

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