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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?
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.
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.
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.
Of course, it’s crucial to have a good onboarding experience to drive your activation metrics. Ruben Ugarte will be focusing on how to improve all aspects of onboarding experiences by understanding how your current onboarding process is stacking up, and giving you the tools to prioritize what to try changing.
This unique combination developed both her analytical thinking skills and her ability to question assumptions – capabilities that would later prove valuable in her product career. Over ten years, she rose through the ranks until everyone in the company reported to her.
Well, it’s not quite that simple – despite the influx of customer conversations, it can be hard to derive meaningful insights from all that data. Identifying the right insights is key to operating at scale while keeping your customer experience personal, but it’s a huge challenge to find the signal in the noise.
New research from Harvard Business Review AnalyticServices reveals that businesses of all sizes – from small businesses to enterprises – are realizing the business value of personal, efficient customer engagement. Below, we take a deeper dive into the report’s key data and trends. But they’re facing big barriers.
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.
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.
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.
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.
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.
If youre looking for AI tools that will help you make your work more efficient, you come to the right place. This collection of AI tools will be very helpful for all product designers. Its also good at analyzing complex documents (like multi-page PDF reports) and extracting specific data fromthem.
Pro Tip: Pair your quick wins with data. A dashboard showing metrics like feature adoption or user engagement amplifies your credibility. Advanced Tactics: Stakeholder Mapping: Use tools like the Stakeholder Alignment Blueprint (available on jonihoadley.com) to identify key goals and concerns. Click here to download.
Or rather, two – conversation topics and custom reports. Well, my panel today are no strangers to asking that same question in conversations they have with each other, as they have been instrumental in our recent release of custom reports and conversation topics. Opening new possibilities with custom reports. Thomas: Awesome.
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.
2019: "Duh, of course I want my people talking to customers. They started to see the value. -- 2011: "Product reports to the VP of Engineering." 2019: "Product reports to the CPO." 2019: "Do we have data to prove that is the right way to go?" What are your predictions? It is too risky. We will get sued.
For more: Lennybot | Podcast | Hire your next product leader | My favorite Maven courses | Swag Subscribe now This post will transform how you build products, come up with new ideas, and operate as a PM. Colin Matthews was a longtime PM and now teaches my favorite AI prototyping course: AI Prototyping for Product Managers.
Key topic #2 The Role of AI in Personalized Pricing Learn how AI tools can help you optimize pricing strategies without massive data sets. Key topic #3 B2B vs. B2C pricing strategies Explore what product managers in both sectors can learn from each other. Why Listen to This Episode? Start driving impact.
Established customer relationships and financial product stickiness (customers typically avoid switching to other finance service) lead to high retention rates. high-value customers or frequent purchasers), you can reveal actionable insights about this group of customers. Tracking retention in Google Analytics. New course alert!
To deliver high-quality online courses we were patching together several different tools to create a good student experience. We used Teachable as our course platform, Slack for our community, Zoom for our live sessions, Google Calendar to send out course invites, Miro for collaboration, and Mailchimp to send out course emails.
In our latest Productside webinar, Becoming an Effective Product Management Leader , Principal Consultants Roger Snyder and Kenny Kranseler delivered a no-nonsense roadmap for new leaders who want to nail their first 90 days (and beyond) and get the tools on how to become a product management leadereffectively. Show them the data they lack.
If you want help building your outcome mindset, check out our Defining Outcomes course. Interview snapshots are a way to visually synthesize what you are learning from each interview. We wanted to better understand who was adopting which visuals and how they were integrated into their day-to-day work. of respondents).
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.
Of course, none of this will work if you dont have the customer reviews to back it up. In fact, 72% of consumers say they only engage with personalized messaging, such as recommendations, messages, and visuals tailored to their behavior. Review your app analytics to identify underused features. Nike is the best example here.
For more: Lennybot | Podcast | Hire your next product leader | My favorite Maven courses | Swag Subscribe now I talk a lot on my podcast and in this newsletter about the correlation between successful companies and an obsession with velocity. Her background is in developer tools and distributed systems. See the example in the template.
SaaS tools are the industry's biggest open secret. Wondering what type of tools you should have in your stack? TL;DR SaaS tools are applications that users can access through an internet connection. There are different types of SaaS tools for different purposes. ProductPlan is the best tool for road mapping.
Welcome to Product PickEm 2025 , where the best emerging product tool startups go head-to-head in a bracket-style competition, and YOU decide which ones rise to the top via our LinkedIn polls on the Productside page. Each round, the lowest-scoring tools get eliminated, and the best move forward. Forget the hype. Four winners.
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. Are the right tools applied? Next, collect the relevant data. Are they properly empowered and adequately qualified? If so, what are they?
Automated customer service isn’t a new concept. Here’s an inside look at how we’ve implemented personalized, automated customer service at Intercom, and ideas about how to successfully implement automation as part of your own support offerings in the future. What is automated customer service? Why automate your customer service?
The key is to monitor all the data and optimize your strategy at each step. That’s where product launch analytics step into the picture. In this article, we’ll dig deeper into key metrics and tools to help you get started with product launch analytics. Book a demo to see it in action.
For our next installment of our Women in Product Management Series, I interviewedNeha Bansal, Head of Product, Ads Manager Reporting at Meta about AI in product management and how it’s reshaping advertising. A Journey Rooted in Curiosity and Customer Obsession Neha Bansals path into product management started not in tech, but in data.
There is one key tool used by successful customer-centric businesses that most product managers disregard. From a product manager’s perspective, it’s important to focus on product-centricity, which means having a product or service that responds to customer needs and then getting as many customers as possible who have these needs.
This stage involves gathering qualitative and quantitative data to understand the target users, their needs, behaviors, and pain points. Analyze quantitative data : Use quantitative methods such as surveys to collect data so you can rely on it during ideation. Research Research is the foundation of the product design process.
In just six months, I transitioned from being a complete beginner to confidently speaking at conferences, sharing insights about AI and its impact on business and design. I found myself overwhelmed by complex machine learning algorithms, data modeling, and coding. Thats when I decided to adopt a business-oriented learning approach.
It is not expected (nor is it the norm) for the other designers on the team to report to the design lead nor for the other engineers on the team to report to the engineering lead. They are responsible for deciding what to build (with appropriate input from the rest of the team, of course). They lead product discovery.
Business Model Canvas (BMC) BMC is a tool used to map out key elements of a business model in a single page. It visualizes how the business operates and creates value. Value propositions : The products or services that create value for each customer segment. Business Model Canvas by Strategyzer.
The Two-Hour Design Sprint: A Crash Course So, what exactly is a two-hour design sprint? Example: Imagine you’re designing a new dashboard for a fintech app. Example: For our dashboard, we might ask, “How might we create a dashboard that helps analysts quickly spot trends and take action?”
In the bustling and competitive online beauty scene, Rumi Cosmetiques was struggling with a user experience that felt more like an obstacle course than a seamless shopping spree. Moreover, the product pages were shrouded in ambiguity, not providing the clarity and insightful descriptions necessary for coaxing a credit card out of hibernation.
When it comes to continuous discovery , there’s no such thing as “the perfect tool.” Instead of seeking the best tool out there, it’s much more effective to look for the best tool for your team. Teresa often says, “The best tool is the one that your team will use.” Today, we’re taking a slightly different approach.
Over the course of the past year, the customer support landscape has changed for good. Not only that, but 49% say those interactions are highly complex, and 32% report that there have been more emotional customer support interactions. Challenge #2: Agents are wasting time jumping between tools.
I’m disappointed to see the rise of generative AI tools that are designed to replace discovery with real humans. And I like to use opportunity solution trees to visualize our work to help us stay aligned on what we think we know. Everything we do in discovery is in service of that. Too many generative AI tools miss this point.
Todays Fintech disruptors and neobanks are igniting our brains reward centers with flashy visuals, gamified challenges and social interactivity that practically beg us to keep coming back for more. It ultimately changes how we think about financial services. Today, clients expect more than a basic straightforward financial service.
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