Remove Customer Experience Remove Customer Feedback Remove Data Visualization Remove Product Research
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How to Leverage Customer Insights

Userpilot

Customer insights enable SaaS teams to understand them better and build products that satisfy their genuine needs. From the article, you’ll learn about different kinds of customer insights (from product analytics and only) and the benefits of gathering them. Let’s dive right in!

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10 Analytics Dashboard Examples to Gain Data Insights for SaaS [+Best Tools]

Userpilot

Are you tracking SaaS metrics without knowing how to make the analytics process easier? Analytics dashboards are visualization tools that give you an overview of key metrics. This makes it much easier to extract insights from your analysis compared to looking at mere numbers. Book a demo to learn more.

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How to Build A Product Feedback Loop In SaaS: Steps and Examples

Userpilot

In the dynamic world of SaaS, creating a robust product feedback loop is essential for continuous improvement. Whether you’re launching a new feature or refining an existing one, gathering insights from users ensures that your product aligns with their needs and expectations. The product feedback loop.

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How Zoezi Improved User Experience and Gained Valuable Insights With Userpilot

Userpilot

It allows gyms, yoga studios, spas, outdoor centers, and personal trainers to streamline day-to-day operations: admin, finance, and customer care. We’ve talked to Isa Olsson, UX Researcher and Designer. They use Userpilot to monitor product usage, design onboarding flows, deliver release notes , and provide in-app support.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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12 Best Customer Insight Tools for SaaS Companies in 2024

Userpilot

Want to understand what customers think and how they behave in your product ? If so, you need to invest in the right customer insight tools. These tools are perfect for providing valuable customer insights to make product improvements and optimize your customer experience.

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User Experience Analytics in SaaS: Tools, Data Collection & More

Userpilot

User experience analytics is one of the secret ingredients for boosting SaaS growth. By regularly checking your analytics data, you will proactively spot issues and find ways to resolve them. This ensures your product remains enjoyable for users, boosting retention and loyalty.

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Product Management & The 3 E’s: Experiments, Experiences, and Efficiencies

Speaker: Nicole Munson, Senior Product Manager at American Express

Every product manager labors over creating the perfect customer experience. Whether that’s an ineffective design, a confusingly placed button, or how difficult it is to log into your favorite site, mastering the obstacles to creating a frictionless product is a science. Best ways to use data to design new experiences.

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Why Product Managers Must Relearn Their Customers

Speaker: Janelle Estes, CIO, User Testing

We are living in unprecedented times that have changed the way we live and work. The impact on businesses cannot be understated, and product managers have felt the brunt of it. So how do you adapt your product development process knowing that your customer's behaviors and expectations have completely changed over the past year?

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Monetization Monitor: Software Usage Analytics 2020

Efficient usage data collection and analytics can open up significant possibilities for suppliers. Organizations that place a premium on understanding product usage seem to have fewer hurdles to aligning price with value and are more in touch with their customers than organizations that don’t prioritize understanding product usage.

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How To Design Your Next Roadmap with Data-Driven Pit Stops Masterclass

Speaker: Sonia Singhal, Product Manager at eBay

These days, a simple A/B test can seem to incorporate the whole alphabet, and making a decision from that data isn't as easy as A, B, C either. How do we know we are testing the right thing? How can we shorten the time it takes to do the tests while gaining larger amounts of data?