{"id":30799,"date":"2021-08-31T08:30:00","date_gmt":"2021-08-31T08:30:00","guid":{"rendered":"https:\/\/inmoment.com\/?p=30799"},"modified":"2021-11-24T05:07:05","modified_gmt":"2021-11-24T05:07:05","slug":"how-inferred-feedback-can-support-cx-survey-solutions","status":"publish","type":"post","link":"https:\/\/inmoment.com\/blog\/how-inferred-feedback-can-support-cx-survey-solutions\/","title":{"rendered":"How Inferred Feedback Can Support Traditional CX Survey Solutions for Next-Level Intelligence"},"content":{"rendered":"\n

Whether your customers are visiting your storefront, browsing your website, unboxing your product on TikTok, or reading a review site, consumers interact with your brand in countless ways and places. But how do customer experience (CX) programs keep up with a customer journey that is constantly changing? A good place to start is going beyond traditional survey solutions to include more modern methods, listening posts, channels, and feedback types\u2014solicited, unsolicited, and inferred. <\/p>\n\n\n\n

Not all valuable feedback gathered is solicited in the form of surveys, focus groups, or interviews (also known as direct feedback<\/strong> in the CX world). There is a wealth of unsolicited\u2014or indirect feedback<\/strong>\u2014in call centre recordings, social media feedback, and web chat transcripts. A company can also use inferred feedback<\/strong> by tracking customers\u2019 behaviours, contact frequency or purchasing habits.<\/p>\n\n\n\n

This post is all about going beyond direct and indirect survey options and questionnaires, and expanding your program to include inferred feedback. When you meet customers where they are, however and whenever they\u2019re interacting with your brand, you are opening the door to big picture understanding, big picture improvements, and, most importantly, big picture results.<\/p>\n\n\n\n

So, What\u2019s Inferred Customer Feedback All About?<\/strong><\/h2>\n\n\n\n

According to Gartner analysts, inferred feedback is operational and behavioural data associated with a customers experience or customer journey, like a website\u2019s clickstream data, mobile app location data, contact centre operational data, or ecommerce purchase history. <\/p>\n\n\n\n

Bringing Inferred Feedback to Life <\/strong><\/h2>\n\n\n\n

As an example of all three feedback sources working together, let\u2019s imagine a shoe retailer’s CX team launching a new release sneaker in store\u2014and they\u2019re on the hunt for actionable intelligence. There are multiple touchpoints along the journey to analyse in order to launch this product successfully.<\/p>\n\n\n\n

When customers buy shoes (or anything else) at the store, they are given scannable QR codes on each receipt for direct feedback<\/strong>. They might take the survey, rate their in-store experience, and say they buy shoes there every 12 months, on average. <\/p>\n\n\n\n

For indirect feedback<\/strong>, the CX team would also look at reviews on their mobile app, Facebook, Instagram and YouTube to see what customers are saying about the latest and greatest sneakers. We can use text analytics<\/a> tools to find common data themes as well as positive, negative, and neutral sentiment in a customer’s verbatim feedback. The CX team can also look into web chat notes, which might show how many people have contacted you asking for more details, stock levels or sneaker quality in the past.\u00a0<\/p>\n\n\n\n

The last step is to look at inferred feedback<\/strong>. When it comes to sneakers, it will be useful to look at purchase history through a CRM, a loyalty program, or a  customer’s store account, which will show an important operational and segmentation piece of the puzzle. From your analysis, you might learn a few things:<\/p>\n\n\n\n