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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.
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.
Jack brings 20 years of experience managing innovation projects at companies like Sony Ericsson and Logitech. He shares practical insights from the Product Development and Management Association (PDMA) framework and explains how product managers can use these principles to improve their product development process.
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 userexperience.
Speaker: John Mansour - President, Product Management University
Product analytics are all the rage, but how can you use them to your advantage? With uncertainty surrounding our economical future — and whispers of an impending recession — what insights can we get from our product analytics that’ll put us in the express lane to growth? Analytics that guarantee customer value.
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.
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.
How product managers can adapt core responsibilities across different organizations and contexts Watch on YouTube TLDR Through his research and practical experience at MasterCard, Nishant Parikh identified 19 key activities that define the role of software product managers. Why study the 19 key activities of software product managers?
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. Her first professional role was with a retail industry consulting company, where she started as a part-time employee during college.
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.
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.
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. But why bother fixing it?
How Do You Stay True to Your Product Vision While Adapting to Market Realities? Below is a preview of key insights. Customer feedback is overwhelming , making it hard to separate signal from noise. Run structured stakeholder sessions to ensure leadership, engineering, and marketing teams remain aligned.
Speaker: Richard Cheng, Associate Product Manager, Mark43
Mark43 is on a mission to bring public safety data management into the 21st century. To fix traditionally paper-heavy and error-prone processes, they needed a secure and easy-to-use product experience that simplified and unified crime data collection and management. August 7, 2018 11:00 AM PDT, 2:00 PM EST, 6:00 PM GMT
Most product teams get mobile app analytics wrong. They track 47 different key performance indicators (KPIs) in their mobile analytics platform , spend hours debating dashboard numbers, yet can’t predict which users will churn next week The problem here isn’t a lack of data.
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?
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.
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.
Most companies realize the value third party analytics solutions offer in delivering a best-of-breed capability to market quickly. However, end-user expectations have moved beyond what embedded analytics can offer and now encompass a seamless userexperience, easy to use self-service, and immediate data response times.
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!).
Atif brings valuable insights from a recent PDMA executive workshop where leaders discussed their real-world challenges with strategic decision making and innovation strategy. In this episode, he shares some insights from that workshop and his experience in product leadership.
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?”
Its not just the design, features, or marketing. It’s what you do with the behavior data your app collects. And by behavior data, I dont mean installs (thats the easy part). I mean what happens after the download: how users navigate, what features they engage with, and where they drop off.
Speaker: Phil Irvine, VP & Director of Audience Intelligence
One-to-one communication has been a trendy philosophy for marketers and advertisers for years now. To accomplish this, organizations have traditionally leaned into historical customer and product data to predict how to engage with their current and future customers in a personalized manner.
Delivering great AI customerservice depends on more than just sophisticated AI models – it relies on real-timedata and access to business systems like CRMs, billing platforms, and past conversations. Without these connections, AI agents are unable to understand customer history and resolve questions as effectively.
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.
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.
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.”
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.
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.
With our livelihoods increasingly reliant on obtaining the right items at the right time and having a plethora of options to choose from, theres a pressing need for someone to simplify this process forus. Here at Lollypop, we assist brands in creating products that streamline and personalize e-commerce experiences for people worldwide.
Understanding customerexperience (CX) isn’t just a strategy—it’s a superpower. Customerexperience metrics illuminate the path to customer satisfaction, loyalty, and ultimately, success as an organization. Why should I track customerexperience metrics?
Transforming userexperience in cars-as-a-service industry through Strategic AI/ML Integrationa UX casestudy. Overview This case study focuses on integrating AI/ML to improve userexperience in the car-as-a-service automobile marketplace. Some users desire precise make and model specifications.
Speaker: Hannah Chaplin - Product Marketing Principal & Steve Cheshire - Product Manager
Without product usage data and user feedback guiding your product roadmap, product managers and engineers end up wasting money, time, and effort building what they think stakeholders want, rather than what they know they need. This lack of insight makes it impossible for these teams to prioritize.
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 These principles aren’t just theoretical – they’re practical tools that any product team can implement to enhance their innovation process.
Every single person that contributes to building a product, all of the makers in the room, we need to care about our customers, we need to make sure that what we’re building is going to work for them, and I want to introduce some ideas that will help you do that. What I saw was they were talking to customers periodically.
Scaling a product isnt just about selling moreits about refining product-market fit, unlocking the right growth levers, and making sure your go-to-market strategy actually aligns with what your customers need. Rachel shares actionable strategies for strengthening cross-functional collaboration so growth efforts dont stall.
Ruthless prioritization translates to product teams spending time building the right thing at the right time. 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. . Get Insights.
Building a foundation for growth begins with the right analytics solution. One that can help product and marketing teams understand what drives users to engage with your product, discover new audiences, test and iterate on new experiences, and quickly measure the impact of investments.
. – Tweet This While many product teams want to talk to customers every week, they struggle to make this a reality. For today’s Tools of the Trade , we caught up with Yury Oleynik , the VP of Product Management at HiveMQ , who has managed to make continuous interviewing a reality on his team.
How an AI-powered fashion startup achieved product-market fit Watch on YouTube TLDR In this episode, we’re joined by Anya Cheng, former product leader at Meta, eBay, McDonald’s, and Target, and current founder of the AI-powered fashion startup Taelor.
If youre an eCommerce marketer or owner, you already know the basics: attract, engage, convert, and (hopefully) nurture. And Im not talking about pretty visuals for the sake of it. And Im not talking about pretty visuals for the sake of it. The secret often lies in the art of UserExperience design.
What happens when you build a product or service around what you think potential customers want, only for them to buy something else? For starters, it shows you dont know your customers well enough. But worse than that, it leads to lower revenue, failed products, and plummeting customer loyalty. The short answer: yes.
Speaker: Rhonda Basler, Director of Customer Engagement, Hallmark Business Connections
You don’t need the latest, greatest CRM technology or datavisualizationtools. Using your innate empathy and applying that to your marketing and customerexperience through emotional intelligence CAN be the game changer you’re looking for. 6 Ways to Make Your Employees More Human.
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