For most of the past 40 years, contact centers have performed quality management (QM) the same way. Calls are identified for evaluation from recordings, and then a QM specialist listens, assesses, and completes a monitoring form for each of them. While traditional QM applications have been enhanced over the years, the QM process remains highly manual, even in the best of cases.
A major challenge facing contact centers is that there is an increasing variety of interaction types, and they are coming from a growing number of channels, including calls, emails, tweets, SMS, chat, social media, and more. While many companies perform QM on their calls, too few apply this practice to other channels. This means that companies receive an incomplete view of why people are contacting their organization, how well agents are performing their job, and whether customers/prospects are satisfied with their experience. Companies need to perform QM on interactions in all channels and to evaluate many of them; otherwise, they won’t know what is happening with their customers and they may be out of compliance with regulations, without knowing it.
The Future of QM
Analytics-enabled QM (AQM) is the future for QM, and can solve many of these issues. DMG defines AQM as “an application that leverages interaction analytics, business rules, and automation to identify, classify, and score as much as 100% of voice and text-based interactions based on defined quality criteria.” At the same time, AQA measures critical interaction components to evaluate agent performance and to assess their impact on the customer experience and customer effort. An important feature of AQM is that it “understands” what customers are saying; it identifies customer needs and wants, automatically surfaces trends and operational opportunities, and spots problematic interactions where agents do not comply with an established script, policies, procedures and/or other requirements. In the future, artificial intelligence (AI) will be used to automatically evaluate interactions and to identify new and emerging trends and opportunities.
Why AQM is better than Traditional QM
There are many reasons why AQM is substantially better than the traditional method of performing QM:
- It can automatically review up to 100% of calls and text-based communications.
- It can provide feedback on a timely basis.
- It can identify and assess the importance of each issue, regardless of the channel in which it is received.
- It can surface emerging issues and opportunities not previously known.
- It can identify coaching opportunities at an employee and group level.
- It can automatically schedule and deliver individualized coaching.
- It realizes all of the benefits of traditional QM, including improving the effectiveness of the contact center, reducing operating expenses, and improving the customer experience.
Why AQM Adoption is Slow
The adoption of AQM applications is very slow, despite its many benefits. The reason for the market’s reticence to purchase this solution is that it is expensive. AQM is an application provided by speech analytics vendors. To acquire AQM, end users have to buy a complete speech analytics solution and then spend more to purchase the AQM package. The sad story is that a high percentage of end-user organizations that purchase a full speech analytics solution do not have budget to add on AQM.
How to Get Enterprises to Invest in AQM
If vendors want to open up the large addressable market for AQM, they need to reduce the price for this add-on module, include it as a standard component of a speech/text analytics application, or improve its business case and return on investment. The vast majority of prospects for AQM, including the thousands of companies who have already invested in speech/text analytics, have made it clear that they are not going to pay more for an AQM add-on module. This has all but frozen the opportunity until something changes, and it’s up to the vendors to make the right moves.
DMG Consulting LLC is a leading independent research, advisory and consulting firm specializing in unified communications, contact centers, back-office and real-time analytics. Learn more at www.dmgconsult.com.