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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?
In the latest TPG Live session, Driving Impact Through Influence and Experimentation , we dived into strategies product managers can use to expand their influence, foster innovation, and navigate the evolving landscape of product management. Navigating Pushback Resistance to experimentation is a common challenge for product managers.
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?
Speaker: Duke Heninger, Partner and Fractional CFO at Ampleo & Creator of CFO System
Learn actionable strategies to enhance efficiency, reduce errors, and leverage technology for smarter workflows. Whether you’re looking to streamline month-end close, enhance data accuracy, or optimize team collaboration, this webinar will provide practical insights to stay ahead in the rapidly evolving finance landscape!
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.
Listen to the audio version of this article: [link] AI Strategy Benefits My research shows that AI can help you make better strategic decisions faster, at least for certain products. [1] 2] Market Research AI-based tools can discover user and customer trends using predictiveanalytics.
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.
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.
Speaker: Eric Feinstein, Professional Services Manager, Looker
For a long time, Product Managers have found it challenging to design interfaces inside their products that users could use for reporting. It seems like PMs and engineers have grown to hate embedded reporting. How to evaluate embedded analytic solutions as strategy to greatly reduce initial and on-going engineering effort.
The path from IC to Chief Product Officer isn’t just about gaining more responsibility it’s about transforming how you think about product development, team leadership, and business strategy. Over ten years, she rose through the ranks until everyone in the company reported to her.
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. Intuition isnt the enemy of analytics.
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.
However, ABM practitioners have evolved the strategy from development to implementation. Instead of wading through a series of vague “how-to kick-start your ABM strategy!” ZoomInfo has created the following eBook to help other B2B organizations gain insights on how to launch their own data-driven ABM strategy.
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. Its a strategy for getting things done. They care about impact.
Listen to the audio version of this article: [link] A Product Strategy System The product strategy system in Figure 1 consists of four main parts: people, processes, principles, and tools. Having said this, the system in Figure 1 captures the specific product strategy approach Ive created. [1] Are the right tools applied?
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.
While it may sound too good to be true, the reality is that you can achieve this by implementing an effective customer expansion strategy. What is a customer expansion strategy? Ultimately, customer expansion ensures more stable, predictable revenue streams, which is essential for the scalability and sustainability of any business.
Speaker: Megan Brown, Director, Data Literacy at Starbucks; Mariska Veenhof-Bulten, Business Intelligence Lead at bol.com; and Jennifer Wheeler, Director, IT Data and Analytics at Cardinal Health
Join data & analytics leaders from Starbucks, Cardinal Health, and bol.com for a webinar panel discussion on scaling data literacy skills across your organization with a clear strategy, a pragmatic roadmap, and executive buy-in. Unlocking enhanced levels of value and insight from data using a semantic layer.
Actionable Strategies for Strengthening Your PM Brand Developing your personal brand requires deliberate effort and a clear strategy. For example, if your brand centers around being a data-driven decision-maker, ensure that your communications emphasize this. Stay tuned! Interested in more?
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.
Reveal Embedded Analytics For product owners, leveraging data is not just an advantageits a necessity. Product analytics empowers you to understand gaps in your offering and how users engage with your product. Both embedded analytics and product analytics are designed to help product owners in diverse ways.
With the right strategies, you can hit the ground running, build trust, and leverage your expertise to thrive in your new role. Pro Tip: Pair your quick wins with data. A dashboard showing metrics like feature adoption or user engagement amplifies your credibility. It shows youre thoughtful, analytical, and focused on results.
Data normalization. However, if lead generation, reporting, and measuring ROI is important to your marketing team, then data normalization matters - a lot. At its core, data normalization is the process of creating context within your marketing database by grouping similar values into one common value.
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. How do you currently balance intuitive decision-making with data-driven approaches?
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.
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
Let’s explore nine market-proven user onboarding strategies that transform curious first-timers into loyal advocates who stick around long-term. Adopt an omnichannel customer engagement strategy Remember the last time you tried reaching out to a company, and they only had email support? Frustrating, right?
That’s where your data comes in. In demand generation, data is essential for knowing who you should target and how. In this eBook, you’ll learn how to identify and target your ideal prospects — when they’re most receptive to hearing your message — using different types of data. Leveraging intent data.
Below is a preview of key insights. Stakeholders request features that dont align with core strategy. Strategies for Maintaining Product Vision Without Losing Adaptability Use a structured prioritization framework (e.g., The Patreon-exclusive recap includes detailed step-by-step execution strategies.
From handling feature requests that lack customer validation to managing unrealistic expectations, we’ll discuss practical strategies to maintain alignment and avoid common pitfalls. Through these insights, you’ll be better equipped to handle the pressures of managing up and leading your product toward success.
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.
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.
As B2B companies pivot to keep pace with a quickly changing marketplace, a data-centric approach to lead generation can be the difference between remaining competitive or being left behind. In this whitepaper, you’ll see real-world examples from leading B2B businesses and learn new ways of using data to: Improve lead quality.
Traditionally, strategy and execution are often viewed as separate, sequential pieces of work that are carried out by different people. For example, a product manager might determine the product strategy and one or more development teams might be tasked with executing it. Enter the Cycle. I call these outcomes product goals.
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.
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. It’s that simple.
As we explored in our conversation, resolving this paradox requires a fundamental shift in how organizations approach innovation, starting not with grand strategies but with empowering employees to make small, meaningful improvements in their daily work. hours daily dealing with problems.
How can MLOps tools deliver trusted, scalable, and secure infrastructure for machine learning projects? How can MLOps help data science teams, business leaders, and IT professionals build a resilient and scalable foundation for their AI initiatives? Download this comprehensive guide to learn: What is MLOps?
Are you struggling to make sense of scattered user data? The right customer analytics platform helps you uncover exactly how customers interact with your product: so you can spot issues early, optimize user journeys, and drive sustainable growth. Choose the best fit for your needs and transform data into actionable strategies.
The following data and information on Shopping apps is from our 2022 Mobile App Customer Engagement Report. Subcategories for Personal Services Apps: Home and Family. Rather than comparing by benchmark, below is a short summary of both the Home and Family apps included in our data. Data included: Ratings and reviews.
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?
Its a tool. And tools only work when you know what youre building. The obsession with appearances has two big downsides: Buzzword, without strategy: Instead of focusing on how AI can actually enhance their business, startups are treating it like a marketing gimmick. The Untapped Potential ofAI AI is not a magic word.
Account-based marketing (ABM) is a key strategy for driving sustainable growth. They’ll share what to consider when crafting an ABM strategy, from defining your ideal customer profile to crafting compelling messaging to measuring success. Today, many B2B companies use ABM teams or technologies to make sales.
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