Telephony For Support

Average Speed of Answer: Using ASA to measure and improve your CX.

Answer that phone and do it quick! When the success of your business depends on your customer’s experience with your contact center, this should be your number one mantra. We have all been on the other side of that phone line, waiting for the IVR to stop repeating itself and for a human being to ask, “Hello, how may I help you?” And we know there is nothing more frustrating than waiting endlessly for this to happen. Little wonder then that the Average Speed of Answer which, simply put, is how soon an agent answers a customer’s call, is probably the most important contact center metric. What is Average Speed of Answer or ASA? ASA or Average Speed of Answer is the average time an agent takes to answer an incoming call. How do you calculate it? You divide the total wait time for all calls by the total number of calls in a day. So, ASA (in seconds) = Total call wait time for calls answered daily Total number of calls answered in a day So if the total time callers have waited for in a day is two hours or 120 minutes or 7,200 seconds, and the total number of calls answered in the day is 200 then the ASA would be: ASA = 7,200/200 = 36 seconds Which means each customer calling your contact center has to wait for at least 36 seconds before he or she can speak to a customer service agent. That can be a long time for a customer in a hurry or an irate customer with a complaint. This means the aim of a contact center should be to keep the ASA to a minimum. The faster your contact agent answers a call from a customer, the better it is for your business in many ways. How can a low ASA help your business? Higher customer satisfaction – It gives a customer immense relief to hear a human voice at the other end because they feel they are a step closer to a solution to their problem. And the faster they hear that voice, the better they appreciate your service. Better agent productivity: If an agent answers a call quickly, the call queue moves that much faster, and agents are able to handle a higher number of calls. Also, the chances of resolving the issues that the customer has called with are better with a low ASA. This improves agent productivity and keeps the contact center’s operating costs low. Higher customer loyalty: Often, customers hang up because the waiting time is too long. They not only abandon the call but, in the long term, may end up abandoning your product or service. A low ASA is a good way to hold on to customers. Better brand image: When you answer calls quickly, it shows customers that their time is important to you. This helps build your brand image as a business that puts its customers above all else. How can you reduce [...]

Average Speed of Answer: Using ASA to measure and improve your CX. 2018-12-01T14:07:12+00:00

Why your live chat needs voice support for better CX

What a story of a failed burger order tells us about good customer service. Building a great customer experience is a never-ending quest. You just finish deploying one new technology, and a user story pops up to show how it was simply not enough. Your live chat window is one such technology: Customers and or web visitors use chat very effectively on websites or apps as the fastest way to contact a customer service or sales team. But a recent customer story I stumbled upon on Twitter, illustrates its shortcomings. Can a "click to call" functionality combine with your chat window to make it doubly effective? We think it can. Picture this. It’s a Saturday night and four teenaged kids (Aargh, sleepovers!) are hungrier than usual. You order from a nearby burger chain using a popular app. And wait for the food to arrive. Two hours later, you’re still waiting. You tried chatting with the customer service using the app, wanting to know your order status but you’re only getting conflicting responses and requests to wait a little longer. You want to speak to a customer service executive. But you don’t have that option. And at the end of a long wait, no burgers either :( I watched this story unfold on Twitter. The frustrated customer (let's call him Mr.X) never received his order and ended up cooking for the kids that night. I couldn’t help thinking about how frustrating his situation was and how it could have been handled better. When should chat be escalated to voice? For a customer, there is nothing more annoying than having a problem with a product or service and not being able to speak to someone who can solve it. Here is when we think chat works, and when it should escalate to voice: Using chat: When its a one or two-sentence query, we think a chat window works better: Hey, my order is delayed, what happened? In this case, chat is so much faster—the customer skips dialing a number, listening to an IVR, waiting in the queue, greeting someone, and then explaining their problem. Since they're not on hold, they don't even mind when you take a minute or two to respond to their query: Really sorry for the delay, let me just call the restaurant and find out. Sure, no problem. Escalating to voice: But when things go wrong, chat loses its advantage fast. In the case illustrated above, the customer’s frustration increased, so did his average sentence length. This would have been the ideal time to switch to voice. It isn't surprising that at one point he even asked the agent if its possible to call him. But the agent couldn't. In most live chats, it’s a long drawn out process to switch from chat to calls. In complex scenarios, the customer just wants to ensure someone is listening, often literally. We’ve designed the KIA widget for cases just like this. Here are 4 ways we think you can use it [...]

Why your live chat needs voice support for better CX 2018-11-22T16:43:30+00:00

How to activate cloud telephony for your Shopify store?

Shopify lets your business set up an online store in minutes. Have you considered a helpdesk, a customer support center or sales channel for that store? You should. Because 61% of your visitors want to speak to someone before making a purchase.* To make this possible, you need to activate a voice + chat channel for them. You can do this easily in a matter of minutes, by linking to our readymade contact center solution. Just place our widget on your Shopify store, and when your visitors have a doubt, they can just click to speak to one of your staff. Here is how: Sign up for a KOOKOO Cloudagent account. Our team will give you your API Key and Phone Number. Go to your Shopify online store ->themes->(Action = Edit Code)->Layout->theme.liquid. The widget code will be as below. Place the API key and phone number given by our team within the code as shown: Ask your agents to login to your KOOKOO account and start receiving calls. That's it. Now your Shopify store visitors just click to speak with your agents. They can also chat with your agents instead of talking, as this is an omnichannel widget. What features does this support widget give you? Synchronized chat window. During conversations, it’s often easier to type things down instead of repeating them over the phone. For example, people prefer typing email ids rather than speaking them out. We understand this. That’s why you can open a chat window during any phone call. The customer can type out email ids, names, phone numbers, in this window while you’re still on the call. (Yes, ours is the only widget to allow this simultaneous call+chat). Plus, you can just switch to a chat mode if that’s what your customer prefers (if they’re shopping while in office for example!!) Better workforce distribution amongst your staff. Our ACD calculates how much time your staff spends on call/chat, and automatically sends calls to the staff member who has spent the least amount of time answering customer calls/chats. Complete CRM/Ticketing Integration. Our complete CRM integration ensures that tickets are automatically created against each phone call, notes get added into the CRM directly, and your recordings are neatly organized against your ticket numbers too. Advanced Analytics. Keep track of your agents with live monitoring. Along with regular updates of various metrics that measure your customer experience and agent performance. Complete Contact Center Support. The same platform supports your toll-free number, your outbound calls, and even lets you create outbound IVR campaigns.See a demo of the widget at or contact us to get started. *Think with google researched 3,000 shoppers in the age group of 18 – 74 in Travel, Restaurant, Finance, Retail, Technology, Local Services and Auto sectors:

How to activate cloud telephony for your Shopify store? 2018-11-15T03:38:33+00:00

Call monitoring & call listening for better conversations

Call listening not only helps train agents but also translates into customer satisfaction. How should you keep track of your customer support quality? Or the quality of your sales calls? The answer is simple: you listen. Sure, there are a lot of metrics that can help you figure out customer satisfaction and agent performance. But once you have the metrics, listening is how you begin improving those conversations. So what are the telephony tools that can help you? Your cloud contact center offers a lot of call monitoring and call listening tools and features. This article uncovers a few. What is call monitoring? Call monitoring involves listening in on a call between your contact center agents and customers/prospects to check the quality of the conversation. What’s the need for call monitoring? Call monitoring is one of the most potent quality assurance tools. It is almost like conducting a survey about how satisfied your customer is but doing it real-time instead of in retrospect. When you listen to an agent talking to your customer as it happens, you understand the customer’s experience and your agents convincing skills. Call monitoring serves several purposes: Analyze the real reason behind your metrics Your metrics such as AHT, FCR and CSAT can give you a good measure of call center performance. But to investigate what's behind the metrics, you need to use call monitoring and call listening tools. For example, If an agent’s AHT(Average Handle Time) is higher, you can investigate why the agent took longer to close a call. Figure when your metrics don't give you an accurate picture. Call monitoring can also tell when you need to be less rigid with your metrics. For example, a call that lasted longer than your AHT does not necessarily mean it wasn’t effective. It could mean the agent went the extra mile to resolve a customer’s query. Similarly, you may find an agent has deviated from the script only to ensure a customer is satisfied with the response or a solution. This way, call monitoring can also tell you when it is time for introspection. Better customer service: Whenever customer satisfaction scores are dropping, call monitoring lets you take instant steps to arrest the fall. Agent training: You can use recordings of well-handled and poorly-tackled calls as case studies when training contact center agents. You can also intervene during a call if you think it is not going in a positive direction and offer the agent constructive solutions. First call resolution: When an agent is aware that the call is being listened to, he or she will do their best to ensure the caller’s issue is resolved in the first call itself. This instills the kind of confidence in a customer that no paper warranty can. Timely intervention: When a manager is listening in on a call and notices that the agent is unable to solve a problem, he or she can intervene right then and advise the agent on what to do next. This saves [...]

Call monitoring & call listening for better conversations 2018-11-10T15:42:49+00:00

3 key concerns while developing your call center’s voice bot

What is a voice bot? I would define a voice bot as an interactive voice user interface powered by NLP. It can help your inbound or outbound call center in several ways. In terms of customer support, a voice bot can be used to help provide self-service. In outbound call centers, voice bots can give dynamic, personalized reminders for payments, past dues, renewals or more. Possible uses of voice bots for support calls: Provide self-help for calls waiting in the queue at your customer support center. Answer Frequently Asked Questions for users calling into your support center. Act as an auto-receptionist, guiding the caller to the right agent. Help cancel or reschedule bookings for customers calling into your center. Possible uses of voice bots for sales calls: Schedule appointments with prospects or leads. Qualify leads after your dialer connects and before the agent goes live during sales calls. Confirm a prospect's readiness/interest to talk during cold calling. (Also Read: 4 ways voice bots can help your sales teams) What should you be clear on before implementing your bot? Here’s my advice: Define the problem. The most difficult, important and critical task in designing your voice bot is to define the problem. What problem do you want your voice bot to solve? Don’t just try to fit a solution into your setup for the sake of being tech-savvy. Instead, think of what problems you have, and use the technology to solve the problem. For example, you could think of: - What questions/queries can your voice bot take care of? - What kind of information can it glean from the customer/prospect? - What part of the agent’s conversation is repetitive? - What part of the agent's workflow could be made smoother/faster by using a bot? - What processes can a bot take care of faster than a human? -e.g, one client identified that reservations and cancellations take place faster via self-service than via agents. Understand your caller/callee. After you define what problem your bot can solve, the next most important point to consider is your target customer. Start by asking: is my targeted customer/end-user ready for a voice bot? Once you’ve affirmed this, figure out what number and nature of questions the customer will be willing to answer. For example, when a customer opts for self-service via a bot, they may be willing to answer a few questions, so that the bot understands their problem. When you are making a sales call, your prospect may be willing to answer only a simple, pertinent question asked by your bot. In neither case can it bother people with deep, multiple levels of questioning. It cannot be like: first, you answer 10-15 questions, then I will solve your problem! Like a well-trained agent, it should grasp the customer’s issue within 2-3 questions. How does this questioning occur? let me demonstrate with the example of someone calling our contact center regarding a problem they’re facing with their telephony software: The first question the bot asks, [...]

3 key concerns while developing your call center’s voice bot 2020-01-16T12:16:33+00:00