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How to Tackle the #1 Problem Product Teams Face: Customer Feedback

What’s your biggest problem as a Product Dev professional? Too many demands and not enough time? Limited resources? Oddly enough, none of those topped the list for Hiten Shah’s crowd.

Hiten Shah (of KISSmetrics, Crazy Egg, and Quick Sprout fame) recently wrote in his newsletter that “the problems people have on Product teams fall into two main categories: Customer Feedback and Alignment.” This conclusion came after Hiten asked his readers to share their biggest product problems, and in more than 100 replies, those two themes emerged as the leaders.

Wootric helps customers gather, organize, categorize and analyze customer feedback – at volume – every day. And we’ve got a few insights into how Product teams can solve the issues that come with customer-centricity – while improving alignment at the same time.

Let’s go through the problems real Product professionals sent Hiten Shah point by point.

“Fast/Effective ways to quickly recap and synthesize qualitative research”

Qualitative data – ie. freeform responses versus ratings or multiple choice answers – are notoriously difficult to sift through and analyze. It’s only recently that, with advanced technology and machine learning, it’s become much easier to tag, sort, and assign sentiment to qualitative feedback at scale.

CXInsight™ Dashboard tagging segmentation screenshot
Source: CXInsight™ Dashboard

Tagging, in particular, is a huge time-saver when you switch from just manual tagging to auto-tagging. Tagging comments with their major themes is the first step towards conducting frequency analysis to identify trending topics – or find relevant feedback with a click.

Using an NPS survey with an open-ended comments section, for example, you might find that your ‘detractors’ (low scorers) comments tend to be tagged with “slow loading time” or you may see a specific feature request recurring.

Yep, modern customer feedback software should be able to deliver every comment with a feature request, for example, tagged and prioritized by frequency, from the highest-value customers, in about a second.

You can even use tags to route specifically tagged feedback straight to the appropriate department for follow-up. No need to hunt for bugs – the bugs will come to you! (Don’t they always?)

“It’s [customer feedback] very subjective and sometimes doesn’t have context, therefore I take it with a grain of salt, but engineers may not see it that way and want to address the feedback immediately.”

When your customer feedback comes primarily through surveys that *don’t* include open-ended responses (to gather all of that golden qualitative data), it’s impossible to get the context you need to evaluate the issue and possibly solve it.

But understanding the why behind NPS, CES and CSAT scores (to name a few) isn’t all the context you need to decide where to allot your time and resources.

You literally have to consider the source.

Is the feedback coming from a high-value, ideal client? Is your existing survey solution capable of identifying those markers?

Did you know that it’s even possible to target specific customer segments with survey campaigns?

And for even more context – you can target customer surveys based on product milestones. For example, you can set a CES survey to deploy after new feature use to find out how easy (or difficult) new customers think it is to use.

“Feedback overwhelm – how to prioritize what users want/need the most.”

An overwhelming number of customer comments can leave you feeling like you are trying to drink from a fire hydrant. It’s time to talk about the wonders of machine learning.

Historically, extracting insights from piles of unstructured feedback has been difficult, expensive and time-consuming. That is not the case today. When you need insight from feedback at scale, it is time to invest in text and sentiment analysis using software with natural language processing.

Machine learning has come a loooong way. Yes, algorithms must be trained to understand your company and customers, so chose a software vendor that will keep their team in the loop and ensure you’re getting good insights right off the bat. Then the software just gets better and better at telling you what is most important to your customers.

Feedback categorized by theme with sentiment breakdown
Source: Wootric CXInsight™ Dashboard

Wootric CXInsight™ combines natural language processing with sentiment analysis to categorize feedback based on what matters most for your customers. When you know why your customers love you — or don’t — prioritization becomes a much easier task.

“Having a regular cadence of customer interaction to develop insights and product intuition.”

Okay, there’s no excuse – this is so easily doable. You can set any CX survey you want to deploy on a regular basis, or, deploy after customers complete specific milestones. Having to go get customer feedback shouldn’t be something you have to think about. It should be automatic! Part of your daily, weekly, or monthly routine.

But, it’s only that easy if you’ve got software that makes it that easy – let’s be honest here. Modern customer feedback software can integrate with Slack, Intercom, or whatever you use, as well as deliver surveys to customers while they’re in your app, and deliver it to you tagged, sorted, and prioritized.

Regularly!

You can have your finger on the pulse of customer satisfaction and will know immediately if there’s any fluctuation. As an added bonus, give a pat on the back to whoever built an update or solution for customers so they can see the results in action!

“My main problem is to get to know our audience and talk directly to them.”

Surveys are great – we love them. But you know what? Even with a qualitative feedback field, a survey can’t take the place of a real, person-to-person conversation. And usually, the biggest barrier to having those conversations is making the time.

We can’t pick up the phone for you, but we can save you time. Enough time to schedule interviews with your customers and get even deeper insights that they may never tell you in writing.

“In Product we’re expected to be customer-centric. We’re supposed to get feedback and talk to customers all the time. It’s literally our day job. But that’s on top of making sure we’re focused on building the right things and helping our teams ship too.”

Here’s the thing, Product friends. You aren’t the only department that has to be “customer-centric” and talk to customers all the time and review steady streams of feedback. So to make this part of your job easier, you might have to reach out to other departments and make customer-centricity a multi-team effort.

If you have a Customer Success department, start there – you might find that the Customer Success Manager is your new BFF. They’re also talking to customers every day, and in many ways, they’re closer to the problems customers face than you are. Most CSMs would be delighted to build better relationships with their Product Dev departments, working together to answer the question “What can we do to help our customers achieve success?”

“It’s not easy and it isn’t getting easier. Customer feedback can come from anywhere: Customer support requests, live chats, social media, the sales team, customer reviews, competitor research, and more. Adding to the pile are the endless opinions about what to do with the feedback from people on our teams.”

It’s not easy – true. But it is getting easier to solve qualitative feedback issues with modern customer feedback software!

Sorry, we can’t help with the ‘too many cooks in the kitchen’ problem – that’s right up there with finding the cure for the common cold. We find that if you have to pick one source to guide product, NPS feedback is the going to be the most actionable.  That said, when it comes to gathering customer feedback from many sources into one, easily searchable place, modern technology comes to the rescue again.

What you want to look for is a customer feedback program that can pull all of customer comment sources together, like NPS or CSAT feedback, user interviews, support tickets, app store reviews, social and analyze those comments in a way that lets you see the big picture and slice & dice by theme, sentiment, survey date, and data source.

Tackle your unstructured, qualitative feedback with InMoment CXInsight™.

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