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Without effective UX analytics that goes beyond collecting data, you’re losing valuable customers. Unfortunately, the research backs this up, with a staggering 90% of users reporting that they stopped using an app due to poor performance. It covers key topics, such as: Defining UX analytics. What is UX analytics?
Featuring an engaging discussion with Inis Hormann (Marketing Director Germany, Cepheid) and Steve Kury (Leadership Development Consultant, SHK Leadership Consulting), the session provided actionable insights for PMs at every level. Leverage Data: Use findings to guide decisions, reduce uncertainty, and inform future product iterations.
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Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. When developing a Gen AI application, one of the most significant challenges is improving accuracy. The number of use cases/corner cases that the system is expected to handle essentially explodes.
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When your company adopts multiple SaaS solutions to drive productivity, you unknowingly create a perfect storm for data fragmentation. Your customer information lives in Salesforce, while your support tickets are in Zendesk, your product usage data in Mixpanel, and your marketing campaigns in HubSpot. Sound familiar?
Introduction to customer satisfaction surveys Customer satisfaction surveys are vital tools for understanding what customers think, feel, and experience. Surveys provide a range of insights, from quick feedback after a purchase to in-depth assessments of brand loyalty. Don’t worry, we’ve got you.
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Drawing from his 20+ years of technology experience and extensive research, Nishant shared insights about how these activities vary across different organizational contexts – from startups to enterprises, B2B to B2C, and Agile to Waterfall environments.
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You see, although we work hard to make Userpilot the best product adoption tool on the market, we know it isnt the perfect fit for every business. Robust resource center functionalities for offering self-service help. A/B and multivariate testing for optimizing user experiences. for collecting user sentiment data.
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Advanced Functions: Delving into specialized tools and modes within PerfDog, including Engine Mode, Systrace Mode, Network Testing, Custom Network Scenarios and Data Extension for optimized application performance.
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Other gamification elements include: Rewards Badges Creativity tools Pressure Progress bars Challenges Explore more gamification examples. For example, can you host webinars to educate users about product updates and offer industry insights? Frequency of reported issue. No guesswork, just data. The result?
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During the third stage, input is analyzed and during the fourth stage, the insight gained from analysis is used to make decisions. Plugging in: how to generate insights Analysis: how to prioritize and understand feedback Communication: how to synthesize information Test/Build/etc & then repeat. Get Insights.
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