Usersnap
SEPTEMBER 1, 2022
One of the best ways to drive better customer experience than using sentiment analysis tools. Below, we describe what an online sentiment analysis tool is and how businesses can benefit from using them. Tools like this can also help if you struggle to find how to respond to positive reviews effectively.
Userpilot
APRIL 21, 2021
Put simply, good product marketing software helps your SaaS solve two fundamental problems: Build a product that users love on the basis of customer feedback Acquire and retain users of that product. But how do you choose good product marketing software? What is product marketing software?
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The Product Coalition
JUNE 17, 2020
We manage everything from product launch, forecasting, planning to product marketing and sales and when things change drastically Product Managers are expected to be agile and stay on top of technology tools to save the day. when retail and in-person customer communication has transformed?—?is
Intercom, Inc.
APRIL 19, 2018
In engineering, you want to move fast, ship often and solve real customer problems. Yet competition and the exponential rate of change in software are pushing against that mission. Enter our philosophy of Run Less Software. We take care of most of Intercom’s backend technologies. What it means to Run Less Software.
Alchemer Mobile
DECEMBER 5, 2022
Over the past few years, many people in the development community have sounded off about “rating nags” and the “please rate me” dialogs that some apps show, with perhaps the most pointed critique coming from John Gruber , of Daring Fireball. It’s about more than improving an app’s rankings.
Userpilot
JUNE 30, 2022
Without it, you’d find yourself implementing features for the wrong customers, distorting your value proposition, and leading your customer support (CS) team to burnout from dealing with bad-fit users. So, how can you determine customer fit and get the right user feedback to ensure customer success?
Intercom, Inc.
SEPTEMBER 9, 2022
In the past five years, we’ve seen neural network technology really take off into its own. Building ML products requires balance – it’s pointless to start with the problem if the solution is unattainable, but you shouldn’t start with the tech if it can’t meet real customer needs. AI has been quite overhyped in the past.
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