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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.
Think of Net Promoter Score (NPS) software as a tool to measure your customers’ feelings about your product, and categorize them based on their level of loyalty (promoters, neutrals, and detractors). The great advantage of these tools is that they streamline the creation, distribution, and analysis of NPS surveys.
Using a custom ChatGPT model combined with collaborative team workshops, product teams can rapidly move from initial customer insights to validated prototypes while incorporating strategic foresight and market analysis. Instead of focusing solely on today’s customer problems, product teams need to look 2-5 years into the future.
Think your customers will pay more for datavisualizations 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.
While “use data to drive decision-making” sounds obvious, there’s a HUGE gap between saying it and doing it well. So, how do you get started with product analytics ? In this article, we’ll talk about: What product analytics is and why you need a solid strategy. What is product analytics?
How to plan a dashboard people will use: 10 Key Steps Dashboard user interface elements in light and dark modes Our team has built dashboards for a wide range of businesses, and we’ve picked up a few key insights along the way. A truly functional dashboard is always the result of collaboration.
He shares practical insights from the Product Development and Management Association (PDMA) framework and explains how product managers can use these principles to improve their product development process. Portfolio Management During our conversation, Jack shares valuable insights from managing product portfolios at Sony Ericsson.
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.
An interactive guide filled with the tools to turn your data into a competitive advantage. They rely on data to power products, business insights, and marketing strategy. This playbook contains: Exclusive statistics, research, and insights into how the pandemic has affected businesses over the last 18 months.
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?
Doug joined us in episode 518 and is back to share battle-tested strategies that will help you fix problems faster and smarter. Proactive Problem Solving Doug was motivated to write Proactive Problem Solving by two pieces of data showing the impact of reactive problem solving: The average manager wastes 3.5
How product managers are transforming innovation with AI tools Watch on YouTube TLDR In this deep dive into AI’s impact on product innovation and management, former PayPal Senior Director of Innovation Mike Todasco shares insights on how AI tools are revolutionizing product development.
Atif brings valuable insights from a recent PDMA executive workshop where leaders discussed their real-world challenges with strategic decision making and innovation strategy. In this episode, he shares some insights from that workshop and his experience in product leadership.
As a product manager, you probably know specific ways to gather data to inform your product decisions, like the ever-popular A/B test. What about the times when it doesn't make sense to A/B test, because you have too small a sample size? Tim will discuss the line between being data-informed versus data-driven.
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.
James shares insights from his research studying companies that consistently launch successful products. James shares that many teams are now working with their second or third generation of AI tools, particularly in sales and marketing.
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.
90% of executives say they prefer visual storytelling over dense reports. Its a technique borrowed from the world of film and designbut it might just be the most underrated tool in a product managers toolbox. Customers dont care about data structures. Execs dont care about architecture diagrams. They care about impact.
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.
Throughout our conversation, we explore insights from their creative process that can be applied to product innovation and management. Analytics let Leah and Phillip see what aspects of their content viewers are engaging with most. In what ways can you implement rapid prototyping and testing in your current product development cycle?
Most product teams get mobile app analytics wrong. They track 47 different key performance indicators (KPIs) in their mobile analytics platform , spend hours debating dashboard numbers, yet can’t predict which users will churn next week The problem here isn’t a lack of data.
The collaboration between AMS and MIT researchers has yielded impressive results, with AI tools not only matching human analysts in identifying customer needs but often exceeding themespecially for emotional needs that humans might overlook. But it is changing, with AI tools that are transforming how we uncover and analyze customer needs.
When you’re building a mobile product , data is your lifeline. Whether for tracking feature adoption or spotting drop-off points, the right analyticstool can make or break your growth. Some tools are great for marketers, and others are for product or development teams.
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?
This definition is a mouthful, so I like to visualize it. I’m going to walk through this visual quickly, and then Cecilie and I are going to dive into this in more depth. Using the Opportunity Solution Tree to Guide Discovery The visual at the center of this is called an opportunity solution tree.
A customer expansion strategy is a playbook for increasing the revenue from your existing customers, for example, by selling them additional products and services or encouraging them to upgrade to higher plans. As your team grows and you hire new people or other departments adopt the tool, the number of seats needed increases.
Anya’s development of Taelor offers valuable lessons in how to validate and expand upon initial product insights. The service attracted a surprisingly diverse customer base, ranging from 16 to 85 years old, including professionals across various industries – from sales executives to pastors.
Case Study: Improving Data-Driven Decision Making for CSR Leadership Civian is a data-driven platform designed to help businesses measure, optimize, and showcase the social and economic impact of their investments in communities. During our tests, we identified some broader user behaviortrends: 1.
Underinvesting in software testing costs more than you think, and now you can prove it. Use the companion calculator to model your own data, and present your findings with a ready-to-edit presentation template. Whether you're making the case to leadership or validating outsourcing, this toolkit gives you the numbers and tools you need.
The choice is tough because there’s no single tool that covers all use cases. What’s worse, you will find multiple tools in each category, making it incredibly difficult to pick the tool that satisfies your needs and offers the best value for money. Which product feedback software should you choose for your SaaS?
In 2006, British mathematician Clive Humby made the infamous statement: Data is the new oil. Like oil, raw data needs to be refined, processed and turned into something useful because its value lies in its potential. Unfortunately, most people have yet to understand what it truly means to use data. moment that makes users stick.
Throughout our conversation, we explore insights from their creative process that can be applied to product innovation and management. Analytics let Leah and Phillip see what aspects of their content viewers are engaging with most. In what ways can you implement rapid prototyping and testing in your current product development cycle?
How Companies Are Funding User Research in 2025: Insights from the User Interviews Research Budget Report User Interviews 2025 Research Budget Report is a crucial resource for understanding how modern organizations are approaching the financial side of user research. Only 17% experienced reductions.
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Think about all the insights you could gather to improve the user experience. By showing how users interact with different elements on the page or product screen, session replays provide product teams , designers, and marketers with valuable insights into user behavior. Every click, scroll, hover, or keystroke?
Well start with an overview and explore how AI can take on tasks such as analyzing user data and automated prototyping to help professionals connect with users on a humanlevel. These advancements are revolutionizing how designers approach their work, making UX more data-driven, efficient, and user-focused than everbefore.
Whether you’re already deep into AI tools or just getting started, you’ll learn what tools you should be paying attention to, which tool to use when, and how to get unstuck when you run into an issue. Choosing your tooling Current AI development tools come in three types: Chatbots (e.g.
Thats where real user monitoring tools come inthey provide real-time insights into how users engage with the app , helping you detect performance issues before they impact your bottom line. Third-party integration: Supports integration with analytics, and DevOps tools like Google Analytics, Mixpanel, Splunk, or Datadog.
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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?
Raiza previously worked on AI Test Kitchen and has a background in startups, payments, and ads. Look for unique applications of the tools you already have. This approach can reveal unexpected insights and user preferences, helping you shape the final product. Listen now on Apple , Spotify , and YouTube.
Enhancing Data Input with Layered Drawer Navigation When I was working as a senior product designer on Grubtech , a kitchen and restaurant management platform, we faced a recurring UX challenge with long and complex forms across the back-office interface. I click something, a box opens… then another one… and I forget where I started.
And Im not talking about pretty visuals for the sake of it. I mean frictionless, user-obsessed, data-driven design choices that guide your customer from just browsing to Add to Cart without ahiccup. In the bustling world of eCommerce, UX design isnt just a buzzword; its a strategic tool that can make or break your businesss success.
Building a foundation for growth begins with the right analytics solution. One that can help product and marketing teams understand what drives users to engage with your product, discover new audiences, test and iterate on new experiences, and quickly measure the impact of investments.
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