Self-service channels have been struggling to make an impact, but customer journey and technological enhancements could finally help open the door to success.

Most people prefer solving problems independently, a trend amplified in today’s digital era. With the rise of self-service support channels like web portals, virtual assistants, and knowledge bases, 75% of customers consider them a convenient method for help. ¹

Despite their promise, self-service solutions often fail to deliver, with half of CX leaders admitting to low adoption rates. ² Ironically, businesses have prioritized what self-service tools offer them over enhancing the customer experience, resulting in even more steps for customers to take.

However, by addressing common pain points customers face and leveraging emerging trends, companies can achieve cost savings and a more customer-centric digital support system.

What Issues Are Impacting Customer Adoption?

• Long Resolution Times

One of the most notable perks self-service solutions can provide is quick resolutions to customer queries without needing a human agent or technician, but only if these channels are correctly implemented.

From issues like outdated IVR systems stuffed with too many options to basic chatbot solutions that offer limited answers and do not allow customers to return to previous choices, the unfortunate reality is that many self-service tools often cause customers to take more time to resolve their issues. This results in customers likely not returning to self-service options, as well as higher costs for businesses as unhappy customers return to their contact centers for assistance.

• Quantity Over Quality

As technology evolves in today’s digital era, it makes sense that businesses would invest in the latest and greatest to offer more avenues for self-service. However, while this approach makes sense, this has the potential to make businesses a jack-of-all-trades, but a master of none.

More options often result in business resources being divided up even more, worsening the quality offered in each service and needlessly complicating the customer journey with dead ends. Instead, brands should devote their time to ensuring the overall quality of each touchpoint, ensuring that each self-service channel can successfully be as close as possible to resolving issues as an agent is, if not better.

• “High-Effort” Channel Transitions

Viewing self-service channels as separate from contact centers has created a significant disconnect in the support experience. Especially during the transition from chatbots to human agents, customers are often forced to effectively restart their support journey, resulting in what is known as a “high-effort” transition.

With 82% of customers who experience a smooth transition gaining an improved opinion of self-service channels, CX leaders need to optimize the handoffs between each of their support channels.

How Can Businesses Further Enhance Self-Service?

• Generative AI
  
  Generative AI has taken the world by storm, with many CX leader having started piloting the technology.
  

  While it will take time for companies to realize the full potential of these tools, there are already many examples of “quick wins” that companies can use to improve self-service channels, like:

And just like self-service, customers are just as excited about this emergent technology with 89% of them being satisfied with their interactions with generative AI-powered virtual assistants.

• Improved Omnichannel Connectivity

Omnichannel experiences have evolved from a perk to a necessity. However, only 13% of businesses have implemented them, so many channels, like self-service, are left isolated and siloed.

Adopting an omnichannel approach can dramatically transform self-service solutions, improving the discovery of actionable insights via the increased flow of data throughout an organization. This interconnectivity also enables more seamless transitions between support channels, empowering bots and agents to deliver better customer experiences.

• Predictive Analytics

When customers turn to self-service support, it’s often in response to an existing issue. However, what if businesses could anticipate these problems before they arise?

Predictive analytics have become a significant factor in CX processes, and can help self-service channels. Leveraging AI and machine learning to analyze customer data, identify patterns, and provide actionable insights, this analytical method allows businesses to discover common pain points. From there, they can quickly pivot their self-service strategy to accompany what customers truly need from their service.

Generative AI technology can take this even further, predicting potential problems and reaching out to customers with solutions before they contact support, further preventing additional calls to contact centers.

Drive Self-Service Success in 2024

Like any CX solution, achieving self-service excellence right out of the gate is a tough ask for any organization, which is why many companies seek help from a trusted CX partner like eClerx.

Our teams of CX and Technology experts have been helping countless clients revitalize and optimize their digital channels with our in-depth CX consulting and award-winning GenAI360 suite.

Contact us today to learn more about how our products and services can help you meet your business objectives.

References

1. Zendesk Staff. “Self-Service: Do Customers Want to Help Themselves?” Zendesk, 17 May 2023.
2. CMP Research Team. “Self-Service CX: Executive Priorities & Technology Adoptions.” CMP Research, 14 Sept. 2023.
3. LoDolce, Matt, and Jordan Brackenbury. “Gartner Survey Finds 62% of Customer Service Channel Transitions Are ‘High-Effort.’” Gartner, 11 July 2023.
4. Capgemini Research Institute. “2024 Generative AI in Organizations.” Capgemini, 6 July 2023.
5. Mingas, Melanie. “The Global State of CX 2024.” CX Network, 23 May 2024.