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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.
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.
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.
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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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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.
For recruiters to build their pipeline and search for the next candidate, they need to ensure they have access to the most accurate data on the market. To begin getting these candidates in the right positions, it includes utilizing updated contact data and enhancing your outreach strategy for improved effectiveness.
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.
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.
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.
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.
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.
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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.
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It gives you the ongoing, actionable insights you need to grow market share, secure stakeholder buy-in, and optimize your brand strategy. It helps you monitor brand awareness, customer loyalty, competitive positioning, and overall brand equity—so you can make informed decisions when it matters most. What is brand health tracking?
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. How efficient intelligence and analytics will benefit your users.
Other gamification elements include: Rewards Badges Creativity tools Pressure Progress bars Challenges Explore more gamification examples. For example, can you host webinars to educate users about product updates and offer industry insights? True value lies in paying attention to what they say – both positive and negative.
Transforming user experience in cars-as-a-service industry through Strategic AI/ML Integrationa UX casestudy. Overview This case study focuses on integrating AI/ML to improve user experience in the car-as-a-service automobile marketplace. Prompt samples based on real Data on how customers source for cars in rental marketplaces.
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. Mobile analytics ?
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?
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Enhancing Data Input with Layered Drawer Navigation When I was working as a senior product designer on Grubtech , a kitchen and restaurant management platform, we faced a recurring UX challenge with long and complex forms across the back-office interface. I click something, a box opens… then another one… and I forget where I started.
And Im not talking about pretty visuals for the sake of it. I mean frictionless, user-obsessed, data-driven design choices that guide your customer from just browsing to Add to Cart without ahiccup. In the bustling world of eCommerce, UX design isnt just a buzzword; its a strategic tool that can make or break your businesss success.
While UX research focuses on uncovering insights to improve user experiences, recruitment ensures that these insights are grounded in high-quality data. Without suitable participants, even the best-designed studies can fail to provide meaningful insights. Why High-Quality Recruitment Is Fundamental 1.
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Through these insights, you’ll be better equipped to handle the pressures of managing up and leading your product toward success. Often, these requests are made without supporting data or customer feedback, which can create tension between PMs and top-level executives. Use data to support your position and explain the trade-offs.
Once you know what Finance is focused on, you can position CX as a solution to that challenge, not just another expense. CFOs want tools that grow with the business and can support multiple teams—marketing, product, HR, and beyond. It could be improving renewal rates, increasing customer lifetime value (LTV), or reducing churn.
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We uncovered a number of insights in the data, but the biggest and perhaps most unexpected theme is the rise of the IC career path. As product managers move up the ranks, salaries predictably increase, especially for individual contributors (ICs). If it’s not centered, the data may be skewed higher or lower.
How can we use neuromarketing to apply neuroscience insights about the brain into making financial products both efficient and emotionally rewarding. In digital banking, small positive experienceslike celebrating a $5 savingscan have a surprisingly big impact. In practice, it actually does the opposite.
Brought to you by: • Explo —Embed customer-facing analytics in your product • Dovetail —The customer insights hub for product teams — Archie Abrams is the VP of Product and Head of Growth at Shopify, where he leads a 600+ person growth org across product, design, engineering, data, ops, and growth marketing.
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