Verint Speech and Text Analytics Information Reviews & Insights

Score8.4 out of 10

63 Reviews and Ratings

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Verint Speech and Text Analytics Reviews

6 Reviews

InformationComputer Software2Telecommunications4

Videos

Language Detect and Trend Analysis

Rating: 7 out of 10

Incentivized

September 10, 2025

Use Cases and Deployment Scope

As a partner we have to solve for all customer issues. Shipping and Healthcare industries are biggest with us. Transcript accuracy matters when making sure agents are following regulatory requirements on the phone.

Pros

Language Detection
Transcription Accuracy

Cons

Language Detection
PRM project queue size

Likelihood to Recommend

Customers do wish they had transcriptions faster, and PRM queue size limits do present a challenge for extremely high workloads, typically if you need a tier 4 server or above

Verified User

Administrator in Professional Services (Telecommunications company, 1001-5000 employees)

Vetted Review

Reseller

13 years of experience

Finding best and bad practices with Verint Speech and Text Analytics

Rating: 9 out of 10

Incentivized

September 10, 2025

Use Cases and Deployment Scope

We are partner from verint and is one of the Best tools we recomment to our customers, we think speech and text interaction analytics are very helpfull to active goals snd make better proccess in the collections área, now with the bots males the hole proccess much better and reduces time of implemetation

Pros

Find themes
Find root causes
Find Best and bad practices
Give You feedback from the customers

Cons

Transcription radio
Better reports

Likelihood to Recommend

Give us a better understandings about good practicess

Victor Hugo Delgado Morales

Presales manager in Engineering at Victor delgado (Telecommunications, 11-50 employees)

Vetted Review

28 years of experience

Get customer’s requirements on paper - text and speech recognition with Verint

Rating: 8 out of 10

Incentivized

September 30, 2024

Use Cases and Deployment Scope

Verint speech and text analytics is used in speech analysis of customer calls - product kickoff, spec, demo calls and then summarising the sentiments of the customer related to the product. This is also helpful in generating a textual summary of the call and then later can be used by productologists at our company for future communication with the client

Pros

Transcript generation
Sentiment analysis
Report generation
Visual summarisation

Cons

Scope of error index can be improved
Costing can be reduced
Portal can be made more handy
The integration with API can be more simpler

Likelihood to Recommend

Well suited- where you wish to analyse the customer sentiments, find out what they are looking for and offering them a good deal to get market growth of business

not well suited- for those small scale organisations where the approach is more on digital marketing and advertising. As the cost is slightly high, startups are not suitable to use this product

Verified User

Engineer in Information Technology (Computer Software company, 1001-5000 employees)

Vetted Review

2 years of experience

Verint Speech and Text Analytics Review

Rating: 8 out of 10

Incentivized

September 30, 2024

Use Cases and Deployment Scope

It really help to retain our customers. Helps in improving AHT and FCR

Pros

TRanscription
Really help us to main compliance posture
Emotion detection

Cons

To support other languages
Real time speech analytics

Likelihood to Recommend

For Compliance requirements and for Customer retention

Anil Handa

SENIOR DIRECTOR in Information Technology at CONCENTRIX (Telecommunications, 10,001+ employees)

Vetted Review

5 years of experience

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Speech is Sweet

Rating: 9 out of 10

Incentivized

June 14, 2023

Use Cases and Deployment Scope

We use Speech to track First Call Resolution, customer sentiment, and identify call drivers and how they impact customer experience. The scope of our case is currently billing and collections, as well as technical support.

Pros

Category Building
Category Comparison
Interaction Identification and Categorization

Cons

Reporting
Trending

Likelihood to Recommend

Speech is helpful to localize areas of improvement. For example, we used to track FCR via telephony data (frequency of contact). Speech not only gives us a more accurate picture (if they call for the same issue) but allows us to dive into the top drivers, outliers within our product lines, etc which is much more actionable.

Danielle Brackett

Shared Services Analyst in Professional Services at Patterson Companies (Computer Software, 501-1000 employees)

Vetted Review

3 years of experience

It's good and has a lot of details

Rating: 8 out of 10

Incentivized

June 14, 2023

Use Cases and Deployment Scope

We use it to evaluate the customers satisfactions and behaviors. Also to measure the Agents performance. We collecting the customers opinions about our services and products. We also looking how our customer representative are acting with our customers. Getting the high topics during the day and historical reports about it .

Pros

High topics analysis
Customer satisfaction
Agent analysis

Cons

First call resolution
Getting the customer voice
Knowing about the topics in call center

Likelihood to Recommend

Its well suited in :
- First call resolution
- Agent performance
- service quality measurement
- high topics
- enhance the process inside the company .

Verified User

Manager in Information Technology (Telecommunications company, 10,001+ employees)

Vetted Review

3 years of experience

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