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For product managers aiming to lead teams or aspiring professionals curious about risk management and data strategy, this episode offers actionable advice and real-world stories to guide your career growth. Making Smart, Data-Driven Decisions Decision-making can make or break your product, especially when data is involved.
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.
Product managers are now expected to be not only customer-obsessed but also data-fluent. In this episode, Jenna Gaudio shares essential insights on how modern PMs must evolve their skillsets to handle massive data flows, navigate regulations, and responsibly craft intelligent product experiences.
As with all things related to customers, there’s an art and science to effectively dealing with each of their ideas. With so many voices competing for attention, you need a means of effectively dealing with all of the data that will come your way. How to make internal feedback more effective and inclusive.
The core focus of these activities is on thorough market research, continuous customer engagement, and strategic product development. Understanding the Problem Space The primary goal of market research is to validate whether a real problem exists and if customers truly care about solving it.
In our new webinar, Rosie, Director of Product Marketing at Alchemer, sat down with Justin, Alchemer’s Integration and API Product Manager, to dive into a topic every CX team should be thinking about: automating customerfeedback collection and management. This isn’t just a demo (though yes, Justin gives a fantastic one in this webinar).
Every product launch, service ticket, and update is under the microscope of customer scrutiny. And customers are telling you how they feel at every step. Turning that feedback into fast, meaningful action. Many tech companies do a great job collecting feedback. Customer success loses sight of at-risk accounts.
James shares insights from his research studying companies that consistently launch successful products. A framework for product launch success Watch on YouTube TLDR In this episode of Product Mastery Now, I interview James Whitman, author of LAUNCH Code and founder of Growth Guidepost.
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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.
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.
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. Basically, anything that ruins the user experience. What is UX analytics?
In our latest Alchemer Connect-focused webinar, Rosie Davenport, Director of Product Marketing at Alchemer, sat down with Justin Falk, Product Manager for Integrations and API, to showcase one of the most critical parts of modern customer experience: connecting and automating your feedbackdata across systems. The result?
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.
In this digital-first world, understanding your customers’ experiences is more crucial than ever. To better understand the common challenges organizations face with digital feedback tools, we conducted a comprehensive market research study that revealed several critical pain points.
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?”
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.
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?
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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.
Customerfeedback is the backbone of customer-centric business. But understanding how to collect, interpret, and act on feedback can be overwhelming—especially with so many platforms, tools, channels, and strategies out there. When we say customerfeedback, we mean more than just customers in the traditional sense.
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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). 1 Userpilot for product teams to collect and act on NPS data Creating NPS surveys with Userpilot.
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 visualize data effectively. Well-designed tables enable users to access, analyze, and act on critical information quickly and accurately.
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Speaker: Edie Kirkman - VP, Digital at Focus Brands
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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.
The company operated a software platform for their call center, managing customer communications while ensuring compliance with state regulations. As VP of Operations, Kim worked with third-party engineering consultants to improve the platform’s ROI and customer outcomes.
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.
Below, well walk you through their three-phase approach (observe, align, deliver), weave in key insights from the live Q&Awhere folks asked everything from What if my CEO micro-manages the roadmap? Roger recommended leveraging your boss: Bring your data and plan to your supervisor. Show them the data they lack.
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!
And what I’ve learned is that, besides getting stakeholder buy-in, you need a solid process to collect high-quality data, organize user segments, and create story-driven personas that are easy to follow. Why do you need user personas? Good personas open the door to following a user-centric product development strategy.
Which product feedback software should you choose for your SaaS? In this round-up, I cover 21 of the best product feedback software solutions. In this round-up, I cover 21 of the best product feedback software solutions. The choice is tough because there’s no single tool that covers all use cases. Free trial?
PMs are often tasked with aligning stakeholders, guiding engineering teams, and championing the customer. Customers dont care about data structures. Why Storyboarding Works A storyboard is just a sequence of visuals that shows how a user moves from a problem to a solution. Run it by a few customers. Not a persona.
While “use data to drive decision-making” sounds obvious, there’s a HUGE gap between saying it and doing it well. Product analytics refers to the process of gathering and analyzing data on how users interact with a product. Improves product-market fit through actionable insights.
Speaker: Cait Porte, SVP Product and Customer Experience, Zmags
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Pro Tip: Pair your quick wins with data. A dashboard showing metrics like feature adoption or user engagement amplifies your credibility. Address Pain Points Proactively: Regularly ask for feedback to show you value their input and are ready to adjust course. It shows youre thoughtful, analytical, and focused on results.
You can gather all the userfeedback or behavioral data you want or even generate tons of Google Analytics reports. He’s passionate about creating beautiful yet simple solutions to complex problems, aiming to empower all users to self-serve. This causes siloed data and integration issues.
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?
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.
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