Month: April 2016

AI and CX?

From Mobile World Congress 2016 to the recent F8 ten year roadmap speech, AI is definitely one of the hottest technology trends. And specifically, AI in the customer experience, which  is the front-line of any expectation towards a company has been buzzing for a while as an innovation topic.

News from the several AI experiments are not much reassuring: Tay’s Meltdown proved once again what my university professor would say of computer science, “garbage in- garbage out”.

So on one side we would love to have computers help us with our CX, but on the other it looks really risky as any AI exposed to the public can be manipulated to reflect bad, racist or inappropriate responses to apparently innocent questions, sometimes just for the sake of it, others because of a specific sabotage schemed to bring it down.

Within Customer Experience, the relationship with automation has always been controversial. Would a customer like to be served by a robot and to what extent? Why would a company want to invest significant amounts of time and money to expose its front-line and most visible asset to malpractice and gruesome attacks from trolls and hackers?

The problem of any AI is, obviously, the learning. So probably the mistake from Microsoft was to trust the public network to be truthful and honest when teaching conversational skills to its bot.

Having worked in the customer experience realm for many years, I would never trust a bot to learn from public behaviour over social media: imagine your new hire agent sent to learn conversational skills and empathy…in the street?

but….on the other hand, I know that these guys (the CX teams) are literally sitting on a pile of interaction recordings that are rarely used, unless for some sparse quality management or compliance regulation. So why not use this big data to teach an AI, in a controlled, business-like though still real-life environment, how a conversation about your own brand or product should evolve? This idea might not be new but I haven’t seen anyone even testing it yet. Probably the biggest refrain is that AI projects are still in an experimental phase, are very expensive and bring little certainty of results.

But think about this: if you could have your new hire listen to thousands of hours of work conversations to learn how to address issues, how to talk to customers, how to properly escalate, how to behave in the interaction realm, and all in the business language of your own brand and company! This would be impossible for any human being, but for a bot…well, no big deal.

And the result: a perfectly trained agent ready to respond to your most difficult inquiries like your best skilled agent. Also, because every contact centre is different from the other, their recordings will result in different and more accurate learning and behaviour of the same AI. Isn’t AI in such case a dream come true?

As consumers, we probably would not care that the responses come from a bot, especially with digital channels where there is no voice and tracking a bot might be really tricky, and in the end, what matters most is the CX perception, not the reality. 🙂

 

 

 

 

social customer care: you’re doing it wrong!

In preparation for a customer meeting around social customer care, I am browsing through Twitter and Facebook looking for customer care requests: I can see a lot of variations of #badcx, so I thought it’d be interesting to put together a list of what NOT to do when your customers are complaining or asking help publicly via social media:

  1. If the rant is specific to a common issue that many other are experiencing, you don’t want to just respond but to show everyone how to fix the problem so that the same experience can be shared among peer customers.
  2. When a user is ranting about something that went bad with your company or product, this means that they probably already tried to contact you via phone or email and typically this is their last resort. So the ideal answer cannot be “please contact us at 800…”. The response should be immediate and in-channel. If personal information are involved, publicly switch to DM or Messenger and then try and contact the customer directly.
  3. If there is a help request that can be solved by providing technical or product information, by all means provide those info publicly! Not only the requester will be happy as cake, but the love will spread to other users that are maybe searching for the same info on your very website!
  4. When you are a large global company, sometimes issues can only be resolved at field level. This does not mean you can’t include them in the public social conversation! At minimum, you should show the customer that you have passed on the information, and they will be contacted by the local branch. Responding to go to the local store…well…reads just #badcx.
  5. Again, even if you are a large corporation with lots of department and employees, if a customer resorted to public shaming you, responding that you are “just the social media team” does not help improving the perception of your company. Consumers don’t care about your internal organization: if the social media team has your official brand, then it is the company front page as your contact centre is the front door voice.
  6. If a user is so frustrated that they posted the same comment on your timeline over and over again, it’s not enough just to respond to one: every single message is potentially dangerous and searchable, and must be addressed with care. Wouldn’t it be the same if they took the time to make 10 complain calls at your contact centre? Or would you drop the line at the second call because you already answered?
  7. And last but not least…the language. If you are a global corporation in 20 countries it might be assumed you also support the local language of your operations. Responding to a public tweet or post in a different language is not considered polite, unless you offer an explanation and at least a tentative translation with any of the commonly offered free on-line tools. Also, there are lots of translators out there, in case of lack of skilled resources.

My overall impression is that you can immediately spot when social marketing teams are responding to customer care inquiries: the language is perfect and polished, the responses look pre-approved and are always politically correct, but the results?

Companies need to start providing decent social customer care, and they can make this decision easily by just browsing their own pages and accounts today.