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This week on Productside Stories, host Rina Alexin sits down with Abner Rosales , Senior Director of Product Management Analytics at Experian. Making Smart, Data-Driven Decisions Decision-making can make or break your product, especially when data is involved. Why Listen to This Episode?
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Organizations look to embedded analytics to provide greater self-service for users, introduce AI capabilities, offer better insight into data, and provide customizable dashboards that present data in a visually pleasing, easy-to-access format.
Her path highlights how responsibilities evolve from hands-on product development to strategic business leadership, emphasizing the importance of continuous learning, vulnerability, and strong relationship-building skills. Over ten years, she rose through the ranks until everyone in the company reported to her.
The opportunity solution tree helps visualize all the work that goes into continuous discovery. And while opportunity solution trees have become increasingly common among product teams, there’s still plenty of room for customization, both in the way you set up your trees and the tools you use to build them.
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. Creativity: Bringing unique ideas and solutions to the table.
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When your customers come to your app, what do they see: clunky, outdated dashboards or a sleek, modern interface? If your embedded analytics are looking stale, leverage these free graphics libraries to take your embedded analytics offerings above and beyond.
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I’m going to take a wild guess and assume that you already understand the importance of mobile in-app feedback tools. You also might be reading this post thinking: “Who’s adding new tools to their tech stack right now?” Do you have the right tools to capture that voice? Mobile in-app feedback tools & solutions.
As product managers, we often focus on the development and success of the products we bring to market. Developing and nurturing a strong personal brand is critical, not only for advancing your career but also for building influence within your company and the broader product community.
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When your company adopts multiple SaaSsolutions 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?
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.
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And not because AI itself is broken, but because companies keep treating it like a science project instead of a tool that actually needs to solve problems. Some common AI failurestories: The Data Hoarders : Companies that think collecting more data will somehow lead to an AI breakthrough.
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.
Reveal Embedded Analytics Today’s business users expect more than static dashboards or delayed reports. They want to explore live data, uncover insights, and take action in real time. However, delivering that experience inside a software product or platform is not easy.
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Speaker: Andrew Wynn, Senior Product Manager, Looker
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Tracking user behavior analytics in mobile apps is a whole different challenge compared to the web. Without a global DOM or easy auto-capture tools, tracking mobile app user behavior takes more planning. And the behavioral data you do collect depends on what you choose to track and how you track it. Not so much.
We covered how to manage messy opportunity solution trees , the most common challenges teams face when getting started with the discovery habits, what Im working on next, and so much more. I started my career as a software engineer. I did classic web development before there were frameworks back in the ’90s.
How product managers can use AI to get more actionable insights from qualitative data Today we are talking about using qualitative data to drive our work in product and consequently improve sales. Before founding Viable, he held senior leadership roles in engineering, technology, and product.
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Speaker: Laura Klein, Principal at Users Know and Author of UX for Lean Startups
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The objective is to receive feedback and prioritize it internally against (1) company objectives (2)customer pains/experience (3) Quarterly Product OKRs and ship out solutions. . A feedback loop is: part of a system in which some portion (or all) of the system’s output is used as input for future operations. Get Insights.
You know your product collects tons of data. Datavisualizationtools help turn your messy spreadsheets into clear, interactive insights. The best ones dont even need SQL or data science skills. Because product analytics should be easy and accessible for everyone, not just data experts.
Throughout our conversation, we explore insights from their creative process that can be applied to product innovation and management. Dismantling Misconceptions About Innovation We start by addressing common misconceptions about innovation, particularly the belief that creativity is an innate talent rather than a skill that can be developed.
Your app experience makes or breaks user loyalty: the slightest improvement can boost retention and revenue. With Userpilots mobile solution , you can personalize in-app flows, trigger context-aware push notifications, and capture real-time insights: all without writing a single line of code.
Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali
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Note that Ive decided not to state the names of the tools I found, partly as the AI landscape is changing rapidly and partly as you should research and select the tools that work best in your context rather than trusting my judgment. [2] 2] Market Research AI-based tools can discover user and customer trends using predictiveanalytics.
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Which product feedback software should you choose for your SaaS? 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.
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How can you balance functionality with aesthetics, ensuring your app is both intuitive and visually appealing? Lets discuss why educational app design is essential and what practices you can follow to deliver a smooth experience to your students. You attract more people and build a loyal customerbase.
You have the analyticsdata, but it doesn’t tell the whole story. This powerful tool allows you to see your website or web app through your users’ eyes. It reveals the “why” behind their actions and unlocks valuable insights to improve the user experience. What is session replay?
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