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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?
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. Navigating Pushback Resistance to experimentation is a common challenge for product managers.
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. He emphasized a fundamental shift in how we should approach product development.
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.
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?
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?
You can gather all the user feedback or behavioral data you want or even generate tons of Google Analyticsreports. Despite all these efforts, you’re probably still not acting on product analytics correctly. Why actionable product analytics are important. This causes siloed data and integration issues.
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.
In the rapidly evolving healthcare industry, delivering datainsights to end users or customers can be a significant challenge for product managers, product owners, and application team developers. But with Logi Symphony, these challenges become opportunities. But with Logi Symphony, these challenges become opportunities.
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.
Let’s review everything your customer success team has to do in the absence of any customer success tools. Collect customer data to calculate complex formulas for tracking metrics, monitor customer health scores, and resolve support tickets while continuously trying to improve retention and expansion.
His insights are grounded in decades of hands-on leadership across engineering, business development, and product strategyand his take on innovation is both practical and bold. Joeri emphasizes that data and intuition are not oppositestheyre collaborators. Data + context = better decisions. The best leaders blend both.
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. Ready to see where data is headednext?
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.
The core focus of these activities is on thorough market research, continuous customer engagement, and strategic product development. We explored the 19 essential activities that define successful software product management today.
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.
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.
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. Custom dashboards to track key metrics at a glance. for collecting user sentiment data.
Speaker: Andrew Wynn, Senior Product Manager, Looker
As a product manager, you know how helpful custom tailored data solutions can be to doing your job well. But proper dataanalytics solutions take work to deliver - it's not as simple as just building a dashboard. Learn product analytics best practices from Andrew Wynn, Product Manager at Looker.
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. ” Then the product leader goes to some poor associate PdM and asks them to collate all of the data together. .”
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.
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.
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.
Speaker: Laura Klein, Principal at Users Know and Author of UX for Lean Startups
That's why Laura Klein, product manager and UX designer, has a set of tips to help application teams improve their embedded dashboards and reports. You'll learn: How to develop products that boost your business's bottom line while dramatically improving customer experience.
Even more concerning, products typically lose 50% of their innovative value during development as unique ideas get compromised to fit existing systems. 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.
In this episode of Productside Stories, Neha Bansal , Head of Product at Meta Ads Manager Reporting, joins Nicole Tieche to discuss her career, the high-speed role of AI in advertising, and how PMs can stay ahead of industry shifts. Stepping into product leadership means balancing strategic vision, customer focus, and emerging tech.
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.
Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success?
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.
Reveal Embedded Analytics We know how difficult it is to create dashboards, especially for web applications. However, running business operations or targeted campaigns without insights into their effectiveness is not an option. Thats what dashboards are for. It offers several options when it comes to dashboard libraries.
Below is a preview of key insights. Make switching easier Allow parallel use with existing tools and automate data migration from competitors. Create a self-initiated MVP even a simple landing page or automation tool. Q: How do I shift leaderships focus from data obsession to actual product development?
Sustainability in Product Development: More Than Just an ESG Initiative Sustainability in product management isnt just about reducing waste. Key Insights: Sustainability isnt an expenseits a competitive advantage. Key Insights: Durability isnt just about longevityits about relevance. Data-driven decisions matter.
The possibilities for embedded analytics to drive real value for businesses, end users, and society are as fascinating as they are limitless. No matter the industry, brand after brand is finding that analytics can be the solution to a multitude of business challenges.
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.
Reveal Embedded AnalyticsData-driven companies have a hidden advantage! Theyve consistently outperformed their counterparts, reporting significantly higher metrics across operational efficiency (81% vs. 58%) , revenue growth (77% vs. 61%), and employee satisfaction (68% vs. 39%). How is this possible?
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.
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?
Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali
As we look ahead to 2025, business intelligence and dataanalytics are set to play pivotal roles in shaping success. Understanding these trends is not only essential to staying ahead of the curve, but critical for those striving to remain competitive and innovative in an increasingly data-driven world.
However, without qualitative feedback and behavioral insights, teams risk misreading signals, leading to frustration and churn. User feedback is valuable , but without data, its just opinions. To eliminate these blind spots, you need to combine quantitative, qualitative, and visualdata. How to collect each data type.
Reveal Embedded Analytics Explore how these game-changing features can accelerate your products growth. Latest Update Features: Custom Toolbars: Full control over dashboard menus. Interactive Filtering: Compare data instantly. Axis Title Control: Sharpen data clarity. Developer Controls: Streamlined UI and SQLite support.
No tool will give you answers, only offer leads you can follow to find the real answers. Until recently, our observability tooling has been primarily based on metrics. A typical workflow involved looking at a dashboard full of charts with metrics sliced and diced by various attribute combinations. Answers*: Note the asterisk.
I did classic web development before there were frameworks back in the ’90s. 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. A core part of this is this visual.
Using the lens of a superhero narrative, he’ll uncover how AI can be the ultimate sidekick, aiding in data management and reporting, enhancing productivity, and boosting innovation. Tools and AI Gadgets 🤖 Overview of essential AI tools and practical implementation tips.
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