Unwrap.ai

Welcome to Unwrapped, our short video series where our founders, Ryan Millner and Ashwin Singhania, conduct micro-interviews about all things customer feedback with industry experts and peers! On today's episode, Unwrap's Co-founder and Chief Product Officer, Ashwin Singhania, interviews John Martin.

In my last role as a product leader for Amazon’s Alexa, Excel was my “best friend” when analyzing customer feedback/anecdotes. It was common for my team and I to wrangle a few thousand anecdotes of customers having poor experiences and annotate in Excel. Next to each anecdote, we’d manually categorize each issue, create Pivot tables of our categorization, look at the stacked ranks, and use those to inform the roadmap.

As a product owner or marketer, you understand the importance of customer feedback. User surveys provide valuable insights into customer preferences, satisfaction, and pain points. However, making sense of textual data can be a daunting task. In this blog post, we will discuss three ways to make sense of Qualtrics surveys (or any user surveys for that matter) to identify the key patterns and action items. 

Qualtrics surveys are one of the most common integrations used in the Unwrap platform. When used together, Unwrap and Qualtrics can help businesses analyze feedback received from various channels in a single platform, making it easier to identify patterns, trends, and customer sentiment.

On today's episode of Unwrapped, Unwrap's Co-founder and Chief Product Officer, Ashwin Singhania, interviews Charles Williams. Charles is a passionate and experienced product manager specializing in information technology, start-up, and software development. He is currently serving as a Product Manager at Github Copilot.

The sheer volume of customer feedback can be overwhelming and noisy, let alone finding the patterns and pulling important insights. That's where machine learning and artificial intelligence comes in. Machine learning (ML) is a subfield of artificial intelligence. 

Seamlessly aggregate all of your customer feedback with Unwrap.ai

As a former product manager at Amazon Alexa, I faced the daunting task of sorting through mountains of customer feedback every day. Think comments on Reddit, product reviews on Amazon.com, Twitter posts, support tickets, user research studies, etc. It was difficult to know what to focus on next, which areas to prioritize, and how to make sure our users were happy with the product.