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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.
Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.
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?
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.
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.
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes.
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.
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.
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.
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.
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.
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.
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.
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.
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
As you might know, session replay tools track every click, scroll, and hiccup from your usersjust as if you were watching through their eyes. They allow you to close the gap between your analyticsdata and the feedback you get from users. But with so many session replay tools, which ones are worth your time and money?
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 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.
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?
We’ve researched, tested, and curated a list of 10 top-rated session recording tools to help you unlock valuable user insights and build better digital experiences. Microsoft Clarity – Suitable for SMBs with no heavy analytics needs – 100% free. This article aims to simplify the decision-making process.
Are you looking for a session replay tool but not sure if Fullstory is the right option for your SaaS? The tool’s pros and cons. Pinpoint bug locations by linking user sessions to bug reports or customer tickets. This is essential for compliance with privacy and data protection regulations like GDPR or CCPA.
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.
Can you create opportunities from sales conversations, support tickets, feature requests, or behavioral analytics? Tools & Templates What tool should you use to create an opportunity solution tree? Opportunity solution trees are a simple way of visually representing the paths you might take to reach a desired outcome.
The Problem with Traditional Innovation Approaches: Why Good Ideas Often Fail Doug shared a startling insight from three separate studies that crystallizes why traditional innovation approaches often fall short. When organizations take an innovative idea into development, its forecasted value typically declines by 50% before launch.
A Fresh Perspective on Product Development Anya challenged common assumptions about product development strategy. Anya’s development of Taelor offers valuable lessons in how to validate and expand upon initial product insights.
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.
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.
Quantitative data alone doesn’t reveal intent, only outcomes. By combining contextual insights from session replays , heatmaps, and behavior analytics, user session analysis helps you interpret metrics through the lens of real user journeys. Tools can track every click and interaction.
What happens when you build a product or service around what you think potential customers want, only for them to buy something else? It could include conducting user interviews and surveys, analyzing product usage data, and tracking customer feedback , to name a few. For starters, it shows you dont know your customers well enough.
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.
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.
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 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?
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.
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.
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