How Speech Analytics is Revolutionizing the Experience of Inbound Customer Service?

The main purpose of having a call center in business is to connect the customer with the brand and acknowledge their area of concern by providing solutions to the same.

With the years of development, the medium to offer inbound call center services has taken a turnaround.

Today, there are ample technologies available in the market that is acting as a life-altering experience for the call center owners.

One of such technologies is Speech Analytics.

Speech Analytics offers the feasibility to brands for creating valuable voice notes and fetching the insights from the same that can bolster in improving inbound customer service, cost mitigation along with an upgraded brand reputation.

What Exactly is Speech Analytics?

With the purpose of serving the requisites and objectives of the call center. The brands strictly follow the call center metrics in order to monitor the activities and prepare a detailed report of it with the use of analytic tools.

To relish the business perks, the call centers are incorporating the latest mediums of technologies to develop a better understanding of customer’s concerns and offer them fabricated solutions.

Alike any other monitoring tools, speech analytics deep mine the recorded calls of the customer and let you plan the corresponding strategy.

In this process, audio files are converted into text format and studied well to gather light on spoken phrases.

Apart from tracking the most used terms, speech analytics bolsters in analyzing the user sentiments of the customer. Also, the techniques help in understanding the calling environment during the delivery of inbound call center services by investigating the hold time, pauses, and agent’s capability to respond to the customer’s query.

How Speech Analytics Monitors Inbound Call Center Services?

Speech analytics takes hold of raw data recorded during the conversation between the customer and the agent.

Once the data is consolidated, it is saved to the library of the speech analytics tool or software.

The AI-driven tools do their procedure by pondering on certain keywords that describe the idea of customer’s behavior.

Let’s say if the recorded call is having keywords like ‘Good service’, ‘Satisfied’, etc it simultaneously gives the image of a good call. But, opposite to that if the call is registering keywords like ‘Poor service’, ‘Disappointing’, etc., then the conversation falls in the category of a bad call.

Once the call is categorized under a label of good call or bad call. The auditing is done for bad ones by professionals and experts.

The speech analytics tools prepare a collated report that comprise of minute pointers such as average handle time, service level, first call resolution rate, etc., as per which the organization handling inbound customer service can re-strategize their methods of handling the call and further can train their agents in order to match the standards to required call center metrics and generate the excellent ROI.

How Actionable Insights of Speech Analytics Are Enhancing Inbound Customer Service?

Monitoring and reporting of offered call center services are obligatory in order to get the assurance of the in-action strategy.

Speech analytics is just an add-on but a reliable source of tracking the valuable insights, that are worth gazing for drafting the enhanced outcomes by accounting the hike in customer satisfaction rate (CSAT).

Following are a few benefits that the organization can have by using the insights gathered through the speech analytics process-

● Low Customer and Agent Attrition Rates:

The customer availing the inbound call center services from the brand hopes for the best services from the agent with the minimum number of follow-up calls.

The speech analytics bolsters in enhancing the service and satisfaction level. Also, it distributes and lowers the work pressure on call center agents that ultimately mark the deflation in attrition rates, making it favorable for organizations giving inbound call center services.

● Reduction in Number of Repeated Calls:

The insights fetched through speech analytics help in understanding the pain points of the customer and highlight the loopholes in the delivery of inbound customer service.

The mechanism allows the agent to be prepared beforehand to answer the customer’s questions with real-time monitoring instead of post monitoring. This monitoring technology tends to offer a solution at the same time only with first call resolution, which significantly reduces the number of repetitive calls.

● Training the Agents for Improved ROI:

The agent’s proficiency plays a dominant role in extracting out the best sales results and enhancing business virtues.

The speech analytics gives a detailed statistical representation for areas needed to work upon.

Hence, the organization can use these fetched details for training their employees so as to avoid previous mistakes done while attending the call right starting from greeting the customer to giving closure to the call.

Offering the training to agents based on generated reports and collected feedback helps in enhancing the return of investment (ROI) and business effectiveness.

In Conclusion

Speech analytics is a recognized medium among enterprises for keeping a close check on offered inbound call center services.

The technique is continuously delivering the results in favor of call centers. Based on its celebrating performance, it expected that speech analytics is ready to serve the services of other departments and bring them great returns.