AI NEWS
The New Survey: Answers Without Questions
Making Decisions
All organizations rely on information to make decisions. From financial data to customer insight to market intelligence, data has been the main lifeblood of the modern company. Yet when it comes to understanding the voice of the customer, many organizations are still muddled in methods popularized in the late 1990’s (or earlier).
A main tool of understanding customers/consumers/users has been, and still is, survey research. That is, ask people to answer questions about a variety of topics. A simplified index of questions and analysis called Net Promoter Score is widely used by vertically integrated companies the world over.
So what’s wrong with asking people to share what they think? Reliability for one, validity for another. But moreover, survey research doesn’t accurately capture the emotion of the granular customer experience. Good or bad, it’s the emotion – how a person feels – that will drive behavior such as purchase, loyalty, overall engagement. Too often companies are really understanding just the what without understanding the why.
We’re asking the wrong questions
Case-in-point, two questions addressed to a 22-year old who’s recently purchased something on the E-Commerce Company X website and received a survey moments later:
Question #1 Asked: How satisfied were you with your experience with E-Commerce Company X today? (Very Satisfied, Satisfied, Neither Satisfied Nor Dissatisfied, Dissatisfied, Very Dissatisfied)
What the 22-year old is thinking: Uh, I dunno. It was ok but I don’t really remember half of the pages I clicked through and I really just wanted these headphones because all my friends are talking about them. Can’t wait till they come.
Question #2 Asked: Why does that describe your level of satisfaction with E-Commerce Company X today?
What the 22-year old is thinking: WTF. IDK. TLDR.
People will never say what they mean!
It’s absurd. Companies are already spending millions of dollars a year to survey customers, and all they’re seeing is the tip of the iceberg. Today there is a better way to find out the feelings and emotions of people, ways that don’t involve asking them any direct questions and simply mining for insights they are already sharing through social media, customer service interactions, ratings/reviews, etc. It’s more accurate and avoids the TLDR phenomenon of survey research.
Said differently,
“it’s the difference between studying elephants in the wild and inviting 6 elephants to a focus group to talk about the jungle”
People think this is an impossible problem to crack - it’s not. There are myriad AI/ML tools in the marketplace that have developed tools to recognize language and make sense of it in an orderly way. What Stitched Insights does better than most is recognize underlying sentiment and emotion beyond the words said. That’s a game changer. By using Stitched Insights tools, companies will be able to deeply understand the Why, very quickly, and take action on it.
“Understanding the root cause of behavior as it changes in real-time is much more powerful in driving correct business decisions than sending a survey”
The future of business in our highly competitive world rests with differentiated, accurate, and timely insights. Methods and approaches must keep pace. Stitched Insights has cracked the code on passively understanding mode, tone, and expectations and quickly applying it to action.
About Adam:
Adam Simons is an investor, adviser, and board member to a portfolio of start ups and emerging companies around the globe. After spending 15 years in large enterprises, Adam has grown a practice where he works hands-on with some of the best startups in the world - both consumer and enterprise - helping to cultivate and grow the talents of early stage founders and their teams.
Customer Support Re-imagined: Feelings, Emotions and Experiences
Take a dip in the pool of Customer Support with me.
Let’s say you currently work in product marketing or operations for a global corporation. Your work revolves around meetings and schedules — things don't always go your way but your life is fairly predictable — and scheduled. You have lots of time for analysis, planning and testing.
Now, picture yourself in a new role. Take that schedule and throw it at Mars. Your life is now a non-stop, 24-hour ride; your schedule slows down and speeds up, you have less control over it and it never stops for a break. You're trying to do analysis, but the data is non-stop and you can't stop the test to analyze results. You work in a world based on others’ schedules, needs and emotions.
Welcome to the world of customer support.
In your new role, your goal is to be proactive. But human behavior is unpredictable and forces customer support into a world of reactive tendencies.
Your tickets, social media, customer reviews, and support calls are all data - and you are surrounded by it. But it's all open ended and undefined. It's thousands and often millions of customer support contacts. It's in data lakes, and buried deep in the history of your company. The leaders at your org care about your customers, but once they take a dip in the data lake, they lose momentum and your long-sought project to do deep analysis dies unripened on the vine.
You have customer satisfaction and NPS scores which you put in the sentiment bucket to gauge how customers feel about your product. Those have helped triage things a bit. You may also have customer success metrics which tell you how often customers do certain things, their habits, their stickiness and their level of adoption and success with your product. That’s definitely a step in the right direction. You may even have a good way of tracking customer testimonials and advocacy.
But if your customer insights are based on an observer asking pre-determined questions and watching for overt pre-defined customer actions - you're likely entirely missing out on the open-ended emotional component of your customer's feedback. How a customer truly feels about your product is vital to your product's success. How a customer expresses themselves is the key to their emotions. This can all change on a whim - thus making it impossibly challenging to keep up using predetermined rules.
Customer support professionals want to help customers based on their needs, and their timing, not ours. We truly do care for our customers and know that customer service is a living, breathing, ever growing, organic entity. We can’t ask customers to slow down, take a break or let us catch up. In this dynamic environment, how can we make informed decisions to provide the world's best service?
What if you had a genie that could grant you three wishes?
What are the three most compelling issues that you would like to know about your customer base if you could analyze and immediately understand every thought and expression that your entire customer base expressed? What three burning questions do you have about your base that would help you to plan your time better, be proactive and make you look like a hero?
My top 3 would be:
Gaps in service
Empirical data to drive the product roadmap
Trending issues that could forecast future problems
Or, would you simply wish for a system-wide comprehensive health check?
What would you unlock in your customer data (that you likely suspect is there) but need the quantitative analysis to prove it out?
What if you could take all of your customer feedback (both internal support requests and external customer reviews) and give it to a genie to tell you what to do next? What if you could augment your customer journey mapping and health scores to measure happiness across all customer interactions in a scientific way instead of relying on genies for your next bonus.
What if you could read every single ticket, chat, text message, phone transcript and ecommerce reviews over the entire lifetime of your (or even of your competitors’) products? And then turn ALL customer interactions into a new and ongoing form of NPS - one based on reliable, quantifiable, and scalable scientific scoring that analyzes the entire audience in near real-time.
How much of your year is spent on thinking and saying how you care about your customers and want to hear from them - but secretly knowing you’re likely ignoring 90% of what they’re saying because you don’t have a genie or the manpower to analyze and track all of this information?
What if you could listen to each and every one of your customers, take in what they have to say, create a meaningful response and impact the product roadmap all at once? What would you like to discover and quantify from customer feedback that absolutely proves the case for your next big thing?
I’m super curious to hear what you would do! Email me at kate@stitchedinsights to share your story and I’d love to include it in an upcoming article on this subject.
About Kate Hobbie:
In Kate's role as a Customer support leader, she has been committed to making customer support the heart of an organization to ensure that the quality of service a customer receives is the deciding factor when choosing a brand.
In the News: The Stitched Insights Data Science Team
In the News: The Stitched Insights Data Science Team
A Fortune magazine article in May 2018 called data science “the sexiest job” this century, and Glassdoor’s 2018 rankings put data scientist at the top of the list for Best Jobs in America. Why are data scientists so valuable these days, and why are we feeling lucky at Stitched Insights to have the best of the best on our team?
The answer, of course, lies in the importance of data to businesses today. The data being created as part of the pervasive digital ecosystem holds a ton of insights as to consumer behavior, operational processes and much, much more. But the insights are only as valuable as the algorithms and know-how of the team in place (or the engine they’ve created) to turn all that raw data into easily understandable analytics that management teams can use to make decisions.
The intersection of big data and psychology is changing the way enterprises interpret consumer data and interact with their customers. Today’s business leaders need to go beyond the obvious metrics (website traffic, convergence rates, and churn) and understand the human reasons behind those metrics. The most exciting developments in data science are helping business leaders understand the mind and how people think. As EQ is critical to successful management, so too is bringing psychology and the human element to data science in order to help enterprises understand customers and the market at large.
Two individuals driving immense innovation at this intersection of psychology and data science are Johannes Eichstaedt and Andy Schwartz of Stitched Insights. This world-renowned data science team has recently been all over the news (see links below) for its ground-breaking work with the World Well Being project. Here is a sampling of the recent articles:
Wired https://www.wired.com/story/your-facebook-posts-can-reveal-if-youre-depressed/
NBC News: https://www.nbcnews.com/health/health-news/facebook-posts-may-point-depression-study-finds-n920356
US News: https://health.usnews.com/health-care/articles/2018-10-15/facebook-posts-may-hint-at-depression
These articles discuss a study that interpreted language used in Facebook posts to help predict clinical depression, which could help with early detection. As quoted in the IFL science article: "There's a perception that using social media is not good for one's mental health," Schwartz. “But it may turn out to be an important tool for diagnosing, monitoring, and eventually treating it. Here, we've shown that it can be used with clinical records, a step toward improving mental health with social media."
While critics raise some privacy concerns in this era of increased scrutiny on the practices of the major social networks, the underlying technology (from a data science perspective) may hold the key to unlocking billions in enterprise value.
Inspired by the work of Eichstaedt and his team, Dmitriy Pavlov, Stitched Insights CEO, had an interesting thought: How can we take the ability to draw psychological insights from language and deliver this in the language of business to companies struggling with the time and effort it takes to understand consumers and their own internal data?
Pavlov saw that the underlying technology held tremendous promise for bringing unprecedented consumer and market insights to enterprises. By evolving the algorithms created by Eichstaedt and Schwartz and delivering an enterprise-ready engine to enterprises that could quickly parse external product review data and unused internal customer support data, the Stitched Insights team could help accelerate the costly R&D process for enterprises, help them create better products and even reduce warranty claims.
The result is Stitched Insights today. With the help of our famous data science team, Pavlov is helping Fortune 100 companies understand their customers in a way they never thought possible – faster and more affordably than traditional market research.
Interested in learning more? Contact heidi@stitichedinsights.com today.