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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?
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. Leverage Data: Use findings to guide decisions, reduce uncertainty, and inform future product iterations.
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 usersreporting that they stopped using an app due to poor performance. Basically, anything that ruins the user experience.
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.
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.
A custom ChatGPT model that helps accelerate product innovation Watch on YouTube TLDR In this episode, I interview Mike Hyzy, Senior Principal Consultant at Daugherty Business Solutions. Instead of focusing solely on today’s customer problems, product teams need to look 2-5 years into the future.
Think of Net Promoter Score (NPS) software as a tool to measure your customers’ feelings about your product, and categorize them based on their level of loyalty (promoters, neutrals, and detractors). The great advantage of these tools is that they streamline the creation, distribution, and analysis of NPS surveys.
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?
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 makes it clear: the future of innovation is human-centered, customer-driven, and iterative by design. Data + context = better decisions.
Think your customers will pay more for datavisualizations in your application? But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.
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. We explored the 19 essential activities that define successful software product management today.
You can gather all the userfeedback 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. But why bother fixing it?
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?
Let’s review everything your customer success team has to do in the absence of any customer success tools. Collect customerdata to calculate complex formulas for tracking metrics, monitor customer health scores, and resolve support tickets while continuously trying to improve retention and expansion.
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.
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. It starts with someone on the product team who says, “We need to know more about what our customers need from us.”
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.
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.
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 complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. Together, we can overcome these hurdles and empower your users with the data they need to drive success.
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. PMs are often tasked with aligning stakeholders, guiding engineering teams, and championing the customer.
In this digital-first world, understanding your customers’ experiences is more crucial than ever. To better understand the common challenges organizations face with digital feedbacktools, we conducted a comprehensive market research study that revealed several critical pain points.
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?
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.
Generative AI is upending the way product developers & end-users alike are interacting with data. This is your chance to gain valuable insights from the best in the field to understand the shifts AI is bringing to product management & development.
Tips and Insights to Create Intuitive, User-Centered DataTables Data tables provide a structured way to organize and manage information, making it easier to analyze and visualizedata effectively. Well-designed tables enable users to access, analyze, and act on critical information quickly and accurately.
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.
Ever wonder why some products instantly click with users while others get abandoned faster than New Year’s resolutions? The secret often lies in those crucial first moments – your user onboarding. But here’s the thing: getting users to say “wow” instead of “why?”
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. You get something that truly works for you, and we get to connect with people who value what we offer and have the potential to become power users (and sources of sustainable revenue!).
This whitepaper discusses how automated business monitoring solutions like Yellowfin Signals revolutionize the way users discover critical and relevant insights from their data. Download to learn: 5 business benefits of automated data discovery with ABM. The evolution of dashboards to automated business monitoring.
With 85% of adults keeping their smartphones within arm’s reach at all times, mobile surveys have become the most direct route to gathering authentic userfeedback. Companies that simply shrink their desktop questionnaires to fit smaller screens end up with frustrated users and compromised data.
Below is a preview of key insights. Customerfeedback is overwhelming , making it hard to separate signal from noise. Communicate trade-offs clearly by tying product decisions to business objectives and user outcomes. Lack of habit formation Users dont build a routine around the product.
Case Study: Improving Data-Driven Decision Making for CSR Leadership Civian is a data-driven platform designed to help businesses measure, optimize, and showcase the social and economic impact of their investments in communities. Through our screening questions, we were able to tap into mirroring Civians user group quite accurately.
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.
Speaker: Edie Kirkman - VP, Digital at Focus Brands
To overcome this challenge, it is crucial to build core product and technology competencies that provide actionable insights through qualitative and quantitative data analysis. In this engaging webinar, we will explore how companies can become more efficient and effective in understanding customer interactions with their products.
This post references out latest e-guide, CustomerFeedback is Everywhere: The Ultimate Guide to Omnichannel Feedback Collection . Organizations that rely on a single-channel feedback approach may overlook valuable insights. These missing insights are crucial for understanding customer needs and expectations.
I’m going to take a wild guess and assume that you already understand the importance of mobile in-app feedbacktools. You might already have a Voice of the Customer (VoC) program in place that you’re looking to improve, or perhaps you’re just trying to get started. Now, more than ever, your customers want to be heard.
What if you could boost revenue without having to invest a small fortune in new customer acquisition? 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? How to calculate customer expansion revenue?
How AI captures customer needs that human product managers miss Watch on YouTube TLDR In my recent conversation with Carmel Dibner from Applied Marketing Science, we explored how artificial intelligence is transforming Voice of the Customer (VOC) research for product teams.
Speaker: Donna Shaw - Senior Product Manager & Eric Frierson - Director of Innovation for Public and School Libraries
Nonetheless, by leveraging foresight and valuable insights, you can cultivate a thriving product management team that works together harmoniously to craft customer-centric products. Master the art of communication for team success, informed leadership, and nurturing strong customer relationships Don't miss out and register now!
Stepping into product leadership means balancing strategic vision, customer focus, and emerging tech. 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.
Anya’s development of Taelor offers valuable lessons in how to validate and expand upon initial product insights. Through market research, she discovered her ideal customers weren’t whom she initially expected. This led her to explore whether others faced similar challenges.
Surveys, combined with open text analysis, however, hold immense potential for uncovering deeper customerinsights from customerfeedback. In this post we explore how to effectively incorporate open text analysis into your CX survey strategy to unlock those deeper customerinsights.
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.
Without these insights, marketing campaigns can feel more like guesswork, with high investment and little return. We’ll walk you through how intent data can elevate your marketing operation, including how it helps you: Easily prioritize accounts Craft engaging content that converts Retain and upsell customers
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