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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.
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.
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.
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.
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 usersreporting that they stopped using an app due to poor performance. Basically, anything that ruins the user experience.
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.
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. Portfolio Management During our conversation, Jack shares valuable insights from managing product portfolios at Sony Ericsson.
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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.
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.
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?
James shares insights from his research studying companies that consistently launch successful products. James shares that many teams are now working with their second or third generation of AI tools, particularly in sales and marketing. Creating Common Language James emphasizes the importance of vocabulary in cross-team work.
Speaker: Speakers from SafeGraph, Facteus, AWS Data Exchange, SimilarWeb, and AtScale
Data and analytics leaders across industries can benefit from leveraging multiple types of diverse external data for making smarter business decisions. Data and analytics specialists from AWS Data Exchange and AtScale will walk through exactly how to blend and operationalize these diverse data external and internal sources.
How to plan a dashboard people will use: 10 Key Steps Dashboarduser interface elements in light and dark modes Our team has built dashboards for a wide range of businesses, and we’ve picked up a few key insights along the way. A truly functional dashboard is always the result of collaboration.
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?
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.
In the retail industry, customerfeedback is your early warning system, your innovation engine, and your most honest performance review. But this system only works if you take action on the feedback collected. Heres how to take insights from customerfeedback and turn them into results.
Our free assessment tool reveals where your team excels and uncovers opportunities for growth across six key dimensions: Context, Investigate, Define, Create, Deliver, and Leadership. Step 2: Get Immediate Insights Receive a detailed report of insights and strategies to enhance team performance.
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.
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.
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?
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.
Speaker: Kate Owens and Megan Bubley, SpotHero, Diana Smith, Segment, and Erin Franz, Looker
As a product leader, you are tasked with collecting and synthesizing your customer’s interactions with your product.The great news is that there are many tools used across your company which collect unique parts of your user’s journey. In this webinar, you'll learn: Why SpotHero decided to unify their data across departments.
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.
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.
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 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.”
An interactive guide filled with the tools to turn your data into a competitive advantage. They rely on data to power products, business insights, and marketing strategy. This playbook contains: Exclusive statistics, research, and insights into how the pandemic has affected businesses over the last 18 months.
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.
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!).
Tracking user behavior analytics in mobile apps is a whole different challenge compared to the web. Without a global DOM or easy auto-capture tools, tracking mobile app user behavior takes more planning. And the behavioral data you do collect depends on what you choose to track and how you track it. Not so much.
Marketing and sales teams are feeling pressured to deliver authentic messaging to buyers at every point of their customer journey. This report aims to highlight the current state of B2B database and contact acquisition strategies and organizations’ goals to leverage data to fuel their go-to-market strategies in 2020 and beyond.
Delivering great AI customerservice depends on more than just sophisticated AI models – it relies on real-time data 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.
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.
Reveal Embedded Analytics Today’s business users expect more than static dashboards or delayed reports. They want to explore live data, uncover insights, and take action in real time. Traditional BI tools were not built for embedded use cases. This is where embedded self-service BI comes in.
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.
In-Depth Performance Metrics: Quick view of the extensive range of metrics for system, graphics and rendering, user experience, in-depth analysis, and more. PerfDogService: Insight into PerfDogService, a testing component of PerfDog that can be used for larger and complex testing scenarios.
When CFOs push back on customer experience (CX) investments, it’s rarely because they don’t care—it’s because the business case for CX isn’t framed in the financial terms they trust. Instead of starting with customer complaints or experience gaps, start by asking Finance: What problems are you trying to solve this year? Jove’s advice?
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?
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 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.
🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting. We’ll explore essential criteria like scalability, integration ease, and customizationtools that can help your business thrive in an increasingly data-driven world. Register to save your seat!
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