![]() ![]() Meanwhile, our customer success team uses Amplitude to help identify potential issues and bugs that detract from the user experience. Our sales team digs into individual accounts to examine how those accounts use CloudApp features and where to boost our customer value. Marketing looks at top-of-funnel growth, signups attribution, and personas of those who convert to determine how to best double down on those acquisition areas. I use it to track experiments while also examining whether those changes affect other parts of the product. ![]() Our executive team uses it to track high-level metrics. Today, all our teams use Amplitude, and it’s become our go-to analytics platform. Some platforms require a degree in data science just to get started, but Amplitude is intuitive and easy to learn.Ĭross-Functional Use Cases Lead to Increased Knowledge ![]() Those videos offered ongoing training opportunities, and people began to explore on their own and learn organically. After brief formal training, we used CloudApp’s screen recording tool to create a collection of videos that introduced people to Amplitude and taught them the basics. Some platforms require a degree in data science just to get started, but Amplitude is intuitive and easy to learn. Amplitude was an all-in-one solution: we could drill down into data through A/B testing, but it also offered impact analysis, a pathfinder feature to explore aggregated user flows, and stickiness charts to help us understand the factors driving engagement and retention. He explained that using Amplitude would allow us to make cohorts of different types of users and track experiments through A/B testing, which we wanted to ramp up. Then we hired a new lead product manager who had used Amplitude at a previous company. We previously used a customer analytics platform called Woopra, which had product analytics capabilities but no A/B testing functionality and a limited feature set. The best way to do that was to test, and then use those test results to iterate and improve. To determine how to enhance our product, we needed to disassociate from our preconceived notions. When you have hundreds of thousands of users, it’s impossible to see that larger picture without data. We conducted plenty of user interviews, and those offered great qualitative information but didn’t necessarily represent our entire audience. ![]() Many times, someone proposed changing X to make Y better, but those suggestions were based on our assumptions, not fact. To move forward, you need to act on reality rather than perception. But that had begun to color our interpretation of how our end customers used CloudApp and how individual users differed from enterprise users. We do more than work on the product we all use the product, too. CloudApp creates instant business communication through shareable, annotated videos, recordings, and GIFs. When I first joined CloudApp, we didn’t have a way to challenge or validate our assumptions-and we had a lot of assumptions. Today, I’m part of the product management team responsible for self-serve revenue growth. I joined CloudApp in 2019 as a marketing intern. Without the right data, you can’t move forward. The best way to understand this reality is through data. As a product manager, it’s critical to understand how your customers use your product-not how you wish they used it. ![]()
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