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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. It covers key topics, such as: Defining UX analytics. What is UX analytics?
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.
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?
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. This causes siloed data and integration issues.
Speaker: Miles Robinson, Agile and Management Consultant, Motivational Speaker
Dashboards and analytics can really set your application apart, but that doesn't mean you can implement them and forget about them. Join Miles Robinson, former UX and Design Manager, as he explains the different ways to refresh your dashboards - and how to determine what's the best path to product dashboard success.
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.
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?
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.
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.
Armed with a world of information at their fingertips, consumers are looking for information that is tailored to them about what to buy, where to buy it, and where the best deals are. Predicting the next CRM state, which can inform the strategy of future marketing communications.
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.
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.
Let’s review everything your customer success team has to do in the absence of any customer success tools. Collect customer data to calculate complex formulas for tracking metrics, monitor customer health scores, and resolve support tickets while continuously trying to improve retention and expansion.
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.
To help practitioners keep up with the rapidly evolving martech landscape, this special report will discuss: How practitioners are integrating technologies and systems to encourage information-sharing between departments and promote omnichannel marketing.
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.
The best retail companies use feedback to inform product decisions, align teams around the Voice of the Customer, and fix whats not quite working. Heres how to take insights from customer feedback and turn them into results. Build a foundation that drives action Use reportingtools to translate feedback into trends.
Speaker: Evan Leong - CEO & Founder, Product Signals
How do industry leaders like Apple and Amazon successfully leverage customer and market insights to enhance their products, even with vast customer bases and extensive market data? Despite its significance, many organizations struggle to collect and utilize feedback appropriately.
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.
The collaboration between AMS and MIT researchers has yielded impressive results, with AI tools not only matching human analysts in identifying customer needs but often exceeding themespecially for emotional needs that humans might overlook. But it is changing, with AI tools that are transforming how we uncover and analyze customer needs.
Reveal Embedded Analytics We know how difficult it is to create dashboards, especially for web applications. However, running business operations or targeted campaigns without insights into their effectiveness is not an option. Thats what dashboards are for. It offers several options when it comes to dashboard libraries.
The choice is tough because there’s no single tool that covers all use cases. What’s worse, you will find multiple tools in each category, making it incredibly difficult to pick the tool that satisfies your needs and offers the best value for money. Which product feedback software should you choose for your SaaS?
Incorporating generative AI (gen AI) into your sales process can speed up your wins through improved efficiency, personalized customer interactions, and better informed decision- making. This frees up valuable time for sellers to focus more on building relationships and closing deals.
This approach has informed her success across different industries and roles, from retail to technology. Anya’s development of Taelor offers valuable lessons in how to validate and expand upon initial product insights. This led her to explore whether others faced similar challenges.
In 2006, British mathematician Clive Humby made the infamous statement: Data is the new oil. Like oil, raw data needs to be refined, processed and turned into something useful because its value lies in its potential. Unfortunately, most people have yet to understand what it truly means to use data. moment that makes users stick.
Think about all the insights you could gather to improve the user experience. By showing how users interact with different elements on the page or product screen, session replays provide product teams , designers, and marketers with valuable insights into user behavior. Every click, scroll, hover, or keystroke?
Are you struggling to make sense of scattered user data? The right customer analytics platform helps you uncover exactly how customers interact with your product: so you can spot issues early, optimize user journeys, and drive sustainable growth. Choose the best fit for your needs and transform data into actionable strategies.
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. More specifically, having access to updated information lets you engage faster with ideal candidates searching the job market.
This definition is a mouthful, so I like to visualize it. I’m going to walk through this visual quickly, and then Cecilie and I are going to dive into this in more depth. Using the Opportunity Solution Tree to Guide Discovery The visual at the center of this is called an opportunity solution tree. It’s that simple.
How Companies Are Funding User Research in 2025: Insights from the User Interviews Research Budget Report User Interviews 2025 Research Budget Report is a crucial resource for understanding how modern organizations are approaching the financial side of user research. Only 17% experienced reductions. Lets unpack each.
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.
Well start with an overview and explore how AI can take on tasks such as analyzing user data and automated prototyping to help professionals connect with users on a humanlevel. These advancements are revolutionizing how designers approach their work, making UX more data-driven, efficient, and user-focused than everbefore.
On top of ever-increasing advancements on the technology front (hello, artificial intelligence), try adding record-low unemployment and candidates’ virtual omnipresence and you’ve got yourself a pretty passive, well-informed, and crowded recruiting landscape. The good news?
Featuring live examples, a hands-on walkthrough of real automations, and a breakdown of tangible business impact, the session provides a clear view of how companies are integrating feedback into their external systems to inform decisions and strengthen customer relationships. Without logging into another tool.
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. But while the characters created in the process are fictional, their building blocks must be based on high-quality customer data.
Even more startling, product managers reported spending 45% less time on strategy than theyd like in 2023. A 2022 Product Excellence Report revealed that only 36% of PMs are confident their products and features consistently meet customer expectations. Use this insight to refine your approach. Where did delays occur?
Nearly 60% of mobile teams still rely on self-hosted push tools. They trade short-term savings for long-term pain: no analytics, poor timing control, and zero personalization. If you know when users typically engage, use that information to create push notification campaigns that re-engage users while respecting their schedules.
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.
Her background is in developer tools and distributed systems. Our recommendations were informed by current research but also field experience at over 300 companies, including a few that were very early adopters of Core 4 (like Dropbox). With Core 4, you can collect a baseline measurement via self-reported metrics.
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.
In fact, the 2024 Buyer Experience Report by 6sense found that a whopping 85% of buyers establish purchase requirements before even contacting sales. Step 2: Collect internal assets Once you’ve decided on your use case, it’s time to dig into your internal assets to gather crucial customer data. moments along your customer journey.
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? Frequency of reported issue. No guesswork, just data. The result?
As a product manager, you probably know specific ways to gather data to inform your product decisions, like the ever-popular A/B test. Tim Herbig will share his hands-on approach to working with analytics in agile product management. Tim will discuss the line between being data-informed versus data-driven.
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