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Article : 12 Reasons Why Customer Service Chatbots Fail

Premium Content (Sponsored)

#contactcenterworld, @egain

Author: Anand Subramaniam, SVP Global Marketing, eGain

Customer service chatbots are a white-hot topic nowadays. Vendor marketing drumbeat is loud, and they promise nothing short of eradicating world hunger with their chatbots! However, if you look beyond the hype, success stories are few and far between.

54% of online US consumers think that interactions with customer service chatbots will negatively impact the quality of their lives, per Forrester’s latest research, who predicts a chatbot backlash this year. A customer called the virtual assistant of a business he was dealing with a "virtual idiot"! How do you prevent your virtual assistant from suffering such ignominy? Here are 12 mistakes to avoid.

1. Doing too much

While a chatbot can become smarter over time, trying to do too much with it at the outset often leads to failure. It is best to limit its scope to a narrow set of use-cases and intents to get a quick win and then gain momentum.

2. Passing the onus buck

When customers have a specific question, many chatbots just push back web pages or FAQs or documents instead of answering the question. It is like giving the entire haystack rather than finding and handing over the needle, which is what is expected from a chatbot.

3. Not understanding

It is important to first understand the intent of the customer for fast time to answer. Except for the lonely soul or two out there, consumers are not looking to socialize with chatbots—they want quick answers. A good practice is to use human chat conversations, label the intent, and use machine learning to match the customer utterances to intents.

4. Do it my way

I was trying out a chatbot that had been touted as a success story only to have it repeatedly tell me to rephrase my question. I unloaded all the synonyms from a thesaurus and all the language variations I know (US, UK, etc.) to no avail! Step #3, combined with robust Natural language Processing capability can help understand intent better.

5. Stopping with intent

Understanding intent is a good first step. Next, the chatbot needs to be able to converse and guide the customer to an answer, especially for the more complex queries. Look for a chatbot solution that is backed by AI reasoning to provide such guided, conversational assistance.

• One of our major telco clients uses our agent-facing bot, backed by reasoning and knowledge, to guide 10,000 agents in the contact center and associates in 600 retail stores to answers. The company has since seen a 37% improvement in FCR (First-Contact Resolution), 30-point improvement in Net Promoter Score (NPS), and 50% improvement in agent speed to competency.

6. The bot switch

Some businesses are looking at creating a concierge bot and a set of specialist bots, where the concierge passes the baton to specialist bots if it is unable to answer a question. Bot-switching can be as painful as channel switching and can lead to poor customer experiences, especially if the specialist bots cannot resolve the customer query.

The answer is in implementing a smart chatbot, powered by a robust knowledge base and reasoning capabilities, that can escalate to human chat agents with full context ensuring the best possible customer experience. Another approach is to make the bot switch invisible to the customer. In either case, the customer experience should be at the front and center of the approach.

7. Can we start over?

Chatbots should be able to escalate to human agents, based on customer sentiment, customer value, customer situation, its own inability to resolve the issue, or a combination of these factors. And, it should do so with all the context intact so that the interaction with the human agent moves the conversation forward instead of starting over.

Some queries may need long-lived, multi-step resolutions. In such cases, the chatbot should be able to pause a conversation and pick it up where it left off without asking the customer to repeat information or steps that had already been completed. You need a unified, omnichannel customer engagement system, backed by knowledge management and AI reasoning, to ensure these capabilities.

• One of our premier clients uses our chatbot to answer DIY tax-payer questions. Where needed, the customer is given the option to escalate to a human advisor with all the context intact. The advisor then chats and cobrowses with the consumer to answer questions and help fill out forms in real-time, a novel experience for the consumer and a win-win for both the consumer and the tax preparation giant!

8. The stagnant bot

While it is OK to start small, the business should make the chatbot smarter over time in both breadth and depth of knowledge and knowhow. Moreover, the knowledge base and AI reasoning paths need to be updated and optimized with analytics on an ongoing basis.

9. The hidden bot

Chatbots can go beyond reactive service to proactive engagement. It is important that you make it visible on your website. Feature the chatbot at least on the top 10 most visited web pages, in addition to the support section.

10. The curse of the (wait) cursor

When consumers look to get customer support, the last thing they want to do is stare at the wait cursor, whether it is the wheel or the hour glass! If your chatbot is not fast, they will defect. Make sure it can scale.

11. Misalignment with brand

Your chatbot needs to be aligned with the brand in both style and substance. If it is fronted by an avatar, make sure it is aligned with the personality of your brand and the target customer. So should the bot’s conversational tone mirror your brand style.

If it is a high-touch brand, you may want to escalate more quickly to a human if the chatbot is unable to answer the customer’s question.

12. Buying before trying

With many vendors promising omniscience from their chatbots, you are faced with the unenviable task of picking one. Technology capabilities are important and so is best-practice domain expertise. How long has the vendor been in the space? Do they put skin in the game by offering risk-free pilots with best-practice guidance, all free of charge? Get answers to these questions.

By avoiding these mistakes, you can make your virtual assistant a virtuoso assistant for customer service and engagement!

#contactcenterworld, @egain


About Anand Subramaniam:
Anand Subramaniam is SVP of Marketing for eGain. Prior to eGain, Anand served as an executive in corporate and product marketing, as well as product management and pre-sales roles at companies such as Oracle, Intel and Autodesk as well as startups.

About eGain Corporation:
Company LogoOmnichannel customer engagement solutions power digital-first experiences. Infused with AI, machine learning, knowledge and analytics, our platform helps clients automate and optimize customer journeys via virtual assistance, messaging, social, mobile, web, and contact centers.
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Today's Tip of the Day - Stop-Start-Continue

Read today's tip or listen to it on podcast.

Published: Friday, July 19, 2019

Printer Friendly Version Printer friendly version

2021 Buyers Guide Speech Technology

 
1.) 
Agara

Agara is an autonomous virtual voice agent powered by Real-time Voice AI. It is designed to have intelligent conversations with your customers, vendors, and partners without any assistance from human agents. It can handle a wide variety of calls including inbound customer care calls, outbound lead generation calls, appointment scheduling calls, and overdue payment recovery calls.

Agara is available for several industries including banking, insurance, retail, e-commerce, airlines, and telecom. Powered by advanced Real-time Voice AI that understands speech in real-time, automatically determines the right process to follow and guides the caller along in the process with natural conversation.
PH: +1 (512) 333 4634

2.) 
Call Center Studio

Call Center Studio
Call Center Studio is the world’s first call center built on Google and is one of the most secure and stable systems with some of the industry’s best reporting. It is one of the most full-featured enterprise grade systems (with the most calling features, one of the best call distribution, outbound dialing features and integrations—including IVR, AI Speech Recognition, blended inbound/outbound calling and includes Google’s new Dialogflow and Speech API. Call Center Studio is the absolute easiest to use (with a 10 minute setup), and is the price performance leader with lower equipment cost and less setup time.
PH: +1 512-872-7565

3.) 
Call Tracking Metrics

Execute automated actions based on words spoken by your customer.

Our intelligent word detection and transcription tools make it easier for you to decipher the content of your customer conversations and automate action based on those insights.

Transform the audio of your calls into speaker-organized scripts so you can easily search your call log for specific words from a conversation, or automatically detect when words of intent are spoken by your customer.

Listen in on and highlight common patterns in order to execute triggers to initiate a new action or workflow, such as emailing a manager if the word “cancel” is spoken on a call. You can also set up to automatically redact content from a transcript, such as sensitive health information transmitted on a call.
PH: 8005771872

4.) 
Daisee

Daisee
Daisee builds technology that empowers people to solve problems by making interactions simple and smart so they can have a more significant impact, be more productive and be better at what they do. We believe incremental improvements carry huge potency and provide exponentially greater change for the better.

Genesys customers can now automate risk and quality management using Daisee’s speech and sentiment analytics and remediation workflow software. Daisee helps improve customer experience, ensure regulatory compliance, identify missed commercial opportunities & training requirements as well as provide valuable insights back to the business directly from the frontline – the true voice-of-...
(read more)
PH: +61404697151

5.) 
Eckoh

EckohASSIST
Advanced speech recognition and natural language expertise that routes callers by simply asking ‘how can I help you?’. It allows customers to use their own words to ask for what they want and steers them to the right place.

Menus are eliminated altogether and contact centres can use a single inbound telephone number.
PH: 01442 458300

6.) 
MattsenKumar LLC

SmartSpeech
SmartSpeech – The Best In Class Speech Analytics Software

An all-inclusive speech analytics application that enables you to visualize your audio using state-of-the-art speech recognition, transcription, and text analytics technologies.
PH: +91 99026 10044

7.) 
Nemesysco

InTone Suite - Emotion Detection via Voice Analysis
InTone™ is a voice analysis tool geared to detect genuine emotional and cognitive reactions regardless of the speaker’s language or chosen intonation.
It integrates into existing contact center environments and provides realtime indications of both client and agent emotional reactions throughout all ongoing calls. This unique set of indications assists managers and call center representatives to truly understand the client, improve call center performance, easily detect angry calls, elevate training efficiency and provide a tailored customer experience in every single call.

Nemesysco's contact center technology is also available in API and SDK forms.
Please visit our website for information about our product portfolio.
PH: +972-9-9605894

8.) 
Voci Technologies Incorporated

V-Blaze Speech to Text
Our GPU-accelerated, AI-based technology enables you to deliver greater insights to the contact center by transcribing audio into analyzable text.

- Transcribe large volumes of recorded audio quickly
- Integrate transcripts with your analytics or business intelligence platform
- Reduce your hardware footprint and minimize total cost of ownership
PH: 412-621-9310

9.) 
Voxjar

Voxjar
Voxjar is your one-stop-shop for driving better phone calls with your customers. We're a modern Conversation Analytics and Call Coaching Platform.

- Custom Charts and Dashboards give you the freedom to analyze calls from the highest level down to the details of each conversation.

- AI-Powered Speech Analytics transcribes, searches, and analyzes your reps' phone conversations, at scale.

- Quality Assurance and Call Coaching tools let you evaluate and improve agent performance with a human touch.

- Long term recording storage for historical analysis


All of these together provide the holistic, easy-to-use software that you need to manage a modern call team and create better con...
(read more)
 

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