One particularly popular strategy is gamification. Studies show that gamification can improve workplace engagement by 48%, boost productivity, and motivate teams. However, like any employee engagement strategy, there are right and wrong ways to approach gamification. 

The Benefits of Gamification for Contact Centre Employees 

Gamification in the contact centre involves creating “gamified” experiences for team members designed to boost productivity and engagement. Common strategies include using things like leaderboards to encourage healthy competition among team members, rewarding those who get the highest customer satisfaction scores, or completing the most interactions. There are also ways to gamify the employee training experience, both in onboarding and in real-time.  

Used correctly, these strategies can drive excellent results. For instance, 72% of employees say they feel motivated to work harder while participating in a gamification program. Gamification can also: 

Empowering Agents 

Providing agents with gamified experiences can help them understand their strengths, improve on areas for development, and progress towards professional goals.  

It can even help in offering the training teams need to thrive; by using gamification techniques, the training can be more engaging and help the user retain the information.   

Moreover, some tools offer regular quizzes for the agents, the results of which are used to develop customised training modules for them to improve in those areas.  

Improve Company Culture 

Creating a robust company culture within the contact centre is crucial for cultivating a positive work environment and enhancing employee satisfaction. By integrating gamification strategies, organisations can establish an interactive, supportive atmosphere that elevates team morale and promotes collaboration. Gamification can be employed to acknowledge and incentivise employees who demonstrate behaviours aligned with the company’s values, fostering a sense of belonging and camaraderie among team members. Moreover, gamified experiences can reinforce organisational objectives and instil a collective sense of purpose, resulting in a more united and motivated workforce. 

Increase Motivation and Engagement 

Boosting employee motivation and engagement is a fundamental objective for any contact centre seeking to retain top talent and enhance operational efficiency. Gamification offers a dynamic and immersive approach to incentivising employees, enhancing performance and nurturing a sense of accomplishment. By incorporating gamified elements such as rewards, challenges, and recognition initiatives, contact centres can establish a vibrant work environment that inspires employees to excel. Furthermore, gamification can be a potent tool for enhancing employee morale, reinforcing favourable behaviours, and cultivating a culture of continual advancement within the organisation. 

Potential Problems with Gamification in the Contact Centre

Although gamification can benefit the contact centre, it’s not a catch-all solution to every employee engagement issue. In fact, when poorly designed, a gamified experience can harm the customer experience and reduce employee engagement. Gartner suggests anywhere up to 80% of gamified processes fail due to bad design.  

One major problem is that knowing what you should motivate your team members to achieve can be difficult. It’s easy to track the employee who closes the largest number of calls daily and reward them for productivity. However, you don’t know whether that employee only achieved the highest number because they rushed through every conversation. You could end up actively rewarding employees for behaviours that harm your brand’s reputation rather than focusing on what really matters.  

Additionally, it’s worth noting that gamification replaces an intrinsic reward with an “extrinsic” one. In other words, instead of your employees doing something because they feel driven by a personal set of goals or ambitions, they do it for a reward. Ideally, you want your employees to care about delivering an outstanding experience rather than just giving them the internal desire to earn points and rewards.  

Gamification is not Always the Answer 

Gamification is about making the contact centre job feel more “fun” and rewarding to your employees. Even if your gamification strategy motivates employees to do the right things, like focusing on increasing their customer satisfaction scores and earning more positive feedback, it has its limits.  

If your staff members are frustrated due to company culture or burned out because they’re dealing with too many daily calls, complex technology, and limited support, they’ll still abandon your workplace, irrespective of any gamification tools.  

Rather than focusing on gamification to rectify the contact centre employee engagement problem, business leaders could be better served by taking an integrated approach. Look at ways to integrate gamification tools or programs alongside overarching engagement and communication strategies; they should elevate, not replace, existing approaches.  

Keeping Staff Engaged in the Contact Centre 

Customer service agents must be motivated and engaged to serve customers with ever-increasing expectations across various channels. Gamification can be a fun way to enhance the company culture and boost motivation and morale, but it’s not the solution to every issue. When you implement gamification, pay attention to the results, gather feedback from your team, and continually monitor it to see if your strategy is effective.  

Gamification may be a valuable tool for employee engagement, but it’s just one piece of the puzzle. Ensure you’re taking a comprehensive approach to delighting and supporting your agents.  

If you’d like to speak to an expert in contact centre engagement and beyond, contact us here or connect with us on LinkedIn.

Recently, a report from the BBC showed just how important this is, drawing attention to the increasing number of complaints faced by broadband and telecom companies in the UK.  

What’s interesting about this report is that while many organisations in the market offer similar services, the level of satisfaction among their customers differs drastically.  

Ultimately, companies can’t avoid receiving complaints but can take the right approach to dealing with them.  

The Value of Effective Complaint Management 

Customers complain about a range of reasons, and those complaints are often more valuable than you’d think. Reports tell us that only a handful of customers actually complain to a company directly; the rest (91%) leave and buy what they need from a different company.  

This means a complaint is an opportunity for you to prevent your customer from abandoning your brand. Studies show that 83% of customers feel more loyal towards brands that actively respond to and resolve their complaints. 

Complaints are also a chance for you to spot problems that might cause other customers to churn before they have a massive impact on your retention rates.  

Even complaints about things beyond your control can be helpful. If you notice that customers regularly complain about service outages and issues, proactively contacting them when there’s a problem with the service could reduce their frustration.  

How to Handle Customer Complaints Correctly: Top Tips 

Dealing with a complaint quickly, effectively, and empathetically can be an excellent way to turn an unhappy customer into a valuable advocate for your brand. One report from the Harvard Business Review found that customers who have their complaints handled in five minutes or less often spend more time with a company in the future.  

So, how do you master complaint management? 

Step 1: Listen and Empathise 

Listening is the key to resolving complaints correctly. It’s easy to get defensive when speaking to a frustrated customer, but they’ve contacted your company for a reason. It’s your job to get to the bottom of the problem with empathy.   

Train your agents to use active listening practices like open-ended questioning to ensure they understand the root cause of the customer’s problems. Collecting details about a customer’s order history, details, previous complaints, and issues will make it easier to resolve customer issues quickly. Plus, it ensures that if, for any reason, an agent needs to transfer a call to someone else, the customer won’t have to repeat themselves and start from scratch—a very frustrating practice that’s all too common.  

Of course, only if you are in the wrong, but sometimes, all your customer really wants is for someone to apologise and acknowledge their frustration.  

Studies have shown that customers are more willing to forgive and keep buying from a company that apologises for its mistakes. However, don’t just stop with an apology; thank the customer for bringing the issue to your attention. Then, if possible, it’s time to solve the problem… 

Step 2: Find a Solution 

Some complaints are easy to resolve. If a customer is unhappy with the quality of a product they’ve bought, you can offer them a refund or replacement. Other issues are a little more complex. For instance, a service outage can’t always be resolved quickly. Have clear guidelines available for the team so they know how to handle the issue, clear lines of escalation, and empowerment to make judgment calls to resolve issues to the customer’s satisfaction.  

Step 3: Record Their Feedback  

As mentioned above, complaints are more valuable than they seem. They can offer incredible insights into ways your company can improve and evolve. The only way to detect opportunities for growth is to record your customer’s feedback and look for patterns.  

Examine any complaints you have received and brainstorm ways to prevent the same issue from happening again. Detailed data dashboards can be key to help quickly analyse and action such insight. 

Step 4: Be Proactive  

Complaints might disappear when you solve a customer’s problem, but the frustration they feel towards your company can linger. The best way to repair the relationship is to follow up. Send an email or SMS asking for feedback on how the complaint was handled and if you can do anything else to aid them. Maybe offer a further discount or promotion or flag their account to prioritise care should the issue re-arise. Is it something you are looking to fix on your transformation roadmap, why not keep your customers updated?  

Optimising the Complaint Management Process 

Complaints are important. They offer feedback on your product and service and give you a second chance to retain and develop a loyal customer. However, handling complaints well and consistently can be challenging.   

At DDC OS, we offer a solution. We can provide access to an outsourced complaints service team, expanding your capacity or handling complaints management as a whole, ensuring you can respond quickly and compliantly to customers when complaints arise.  

With a little extra help, you can turn complaints from a daunting prospect into something that helps your company grow.  
 
Get in touch today and follow us on LinkedIn

Knowing how to capture the right data and use it efficiently isn’t just helpful; it’s a necessity. Capturing and processing data still requires significant human intervention; whilst automation (in the form of Robotic Process Automation or RPA) and now AI continue to refine and enhance the process, it is yet to eradicate the need for data capture specialists.  

These technological advancements have certainly, over the years, helped to greatly increase processing volumes and the speed at which they are handled. They minimise inaccuracies and can even help identify patterns. The question is, what does all this mean for the future of data capture workforces?  

The Impact of AI on Data Capture Processes 

Data capture has long stood as a pivotal process in the realm of information gathering. It encompasses the collection of data from various sources (text, images, PDFs, voice recordings, and more). The primary objective is to collect valuable data and convert it into a format that can be processed, analysed, sold, and so much more. 

For years now, technological advancement has been revolutionising the data capture landscape. AI and automation tools have helped to drive an efficient, streamlined, and powerful process. In fact, the market for automatic data capture and identification tools is expected to grow to a value of $134.7 billion by 2032.  

How AI Improves the Data Capture Process

AI-driven solutions offer sophisticated capabilities for the extraction, recognition, and interpretation of data, potentially minimising human intervention.  

With artificial intelligence, companies can: 

• Improve data quality: With adaptive learning and machine learning tools, companies can benefit from systems that automatically adjust processes and improve the accuracy and quality of the data captured for assessment.  
• Translate raw data into insights: Data analysis is a complex process which requires significant expertise. While AI may not yet be able to match the skills of an experienced data analyst, it can help identify data and rapidly offer insights into potential trends and patterns, making the data captured by businesses more valuable.  
• Streamline complex data capture: AI tools can capture complicated data from a variety of structured, semi-structured, and unstructured documents. Pre-processing tools can even annotate key data fields and ensure data is labelled correctly for analysts.  
• Accelerate data capture: AI tools can capture data from systems, processes, and interactions in real time. This reduces the need for employees to spend endless hours creating notes and uploading documents into systems. Real-time tracking also ensures companies can maintain complete visibility into their operations.  
• Automate data validation: Manually validating data can be a time-consuming and error-prone process. AI-based solutions can enhance the processing workflow, using templates and pre-implemented methods to validate and identify data. The right tools can even ensure data is stored in the right place or sent to the correct teams.  

AI and Data Capture Experts: Better Together

So, if AI in the data capture landscape is so powerful, does it eliminate the need for data capture experts, such as data entry professionals and analysts? Simply put, the answer is a resounding no. While McKinsey suggests about 64% of data collection activities can be “automated”, many companies have discovered that the best results come from using AI tools and human skills in tandem.  

AI can certainly help data capture experts accomplish more in less time and even improve the accuracy of data capture strategies. However, data capture experts are still necessary for many parts of the process. For instance, AI can use machine learning to attempt to determine which forms of data need to be captured for your business, but it can’t effectively separate the best insights for your business goals from endless volumes of data points.  

AI tools also have a number of limitations. AI tools, despite their capabilities, do come with certain limitations. Even if they’re trained to detect and redact personally identifiable information from documents, there are instances where important details can be overlooked – particularly where the format of the data source varies or is inconsistent in structure. Some solutions can make mistakes when processing data, and others struggle to process certain forms of unstructured data with a high level of accuracy. Such limitations can have significant impacts on businesses when it comes to data protection regulations.  

Additionally, AI can only handle so much of the data collection and analysis process. It can collect data rapidly but can’t always check it for correctness or convert information into valuable formats, consider medical data or allergen information, for example. The accuracy of this data is essential; mistakes can be a danger to life. Can we, or would we, ever be inclined to trust that process to ever go ahead without human interaction? Many of our client projects use a blend of OCR technology and human agents in a hybrid solution, leveraging both the advantages of technology and the skills of a data capture specialist. For example, OCR might read a form/document/label image of a product, and a human data capture agent perform a QA check to ensure the data aligns with processing rules and third-party regulations and corrects any OCR errors, thus feeding back to the OCR system and improving the technology.  

Ultimately, AI is having a positive impact on the data capture landscape, just like it’s leading to progress in various other business operations and tasks. However, it’s simply a tool that can help to improve efficiency, scale data processes, and boost productivity. It’s not a replacement for human experts. AI should be seen as an assistant for data professionals.  

It should empower these experts to be more effective, efficient, and accurate in their roles than ever before, allowing them to unlock better results for businesses. While AI is a powerful tool for positive change, it’s not a magic solution for every data entry or management problem. If you’re planning on implementing AI into your ecosystem, don’t rush it. Consider what you want to achieve and engage with those delivering that task currently; they are the data experts and will have valuable perspectives and insights into the best use of AI technology and where it can play the most effective role. 

Take the time, consider the applications that can best benefit your business and teams, and make sure you’re leveraging the right combination of machine intelligence and human expertise.  

Why not engage with an expert data capture outsourcer who can help you identify the right approach to solve your challenges and unlock value in your data?  

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