This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
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?
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?
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?
For example, if your brand centers around being a data-driven decision-maker, ensure that your communications emphasize this. Share case studies, write posts that highlight your analytical approach, and offer insights backed by data. Engage Actively in the PM Community A personal brand isn’t built in isolation.
According to data from EY, financial customers strongly connect personalization with trust. But many banking and financial services companies are falling behind on their retail, media, and technology counterparts when it comes to product personalization. Read this article to learn how to fix this problem.
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.
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.
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. Robust resource center functionalities for offering self-service help. Custom dashboards to track key metrics at a glance. for collecting user sentiment data.
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.
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 article, you will explore why customer expansion matters for your SaaS growth, discover various customer expansion tactics, and learn how to embed them in successful expansion campaigns. As your team grows and you hire new people or other departments adopt the tool, the number of seats needed increases.
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. However, creating effective data tables is not as simple as organizing rows and columns.
Listen to the audio version of this article: [link] AI Strategy Benefits My research shows that AI can help you make better strategic decisions faster, at least for certain products. [1] 2] Market Research AI-based tools can discover user and customer trends using predictiveanalytics.
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.
Think about all the insights you could gather to improve the user experience. In this article, you will learn: What session replays are and how they work. Session recordings vs. heatmaps While both heatmaps and session recordings shed light on user interactions, they provide different insights. What benefits they offer.
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?
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.
In this article, we will mainly focus on how AI-driven UX has impacted and will continue to influence the modern business world. 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. No one can denythat.
The Rules Are Blocking Your Progress These so-called “best practices” promise structure and alignment, but they often trap teams in a cycle of predictability and prevent breakthroughs. We know roadmaps provide structure, alignment, and predictability. Lets take them apart. and pursue the answers. Spoiler alertthey wont.
It is not expected (nor is it the norm) for the other designers on the team to report to the design lead nor for the other engineers on the team to report to the engineering lead. If you are reading this article anywhere other than your RSS feed reader or your email inbox, then this site is guilty of copyright infringement.
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?
Considering the Amplitude session replay feature and wondering if it’s the right tool for your business? This article dives deep into Amplitude’s session replay , exploring its characteristics, use cases, and limitations. We also reveal an alternative tool with even more expansive features and excellent value for money.
It’s what you do with the behavior data your app collects. And by behavior data, I dont mean installs (thats the easy part). This article breaks down what mobile app tracking is, why it matters, and methods to do it well. All questions you can only answer with: Mobile app tracking. What is mobile app tracking?
Her background is in developer tools and distributed systems. Quantitative measurements provide insight into what is happening, but qualitative insights tell us why. With Core 4, you can collect a baseline measurement via self-reported metrics. For more, check out her LinkedIn and her blog.
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.
However, without qualitative feedback and behavioral insights, teams risk misreading signals, leading to frustration and churn. User feedback is valuable , but without data, its just opinions. To eliminate these blind spots, you need to combine quantitative, qualitative, and visualdata. How to collect each data type.
From Raw Data to Clarity — Cleaning, Sorting, and Synthesising Insights Part 4 (of 5) of the UX Research Playbook series Synthesising qualitative data is similar to reaping the harvest after the diligent effort poured into research — it’s the step where hard work blossoms into meaningful insights. Mural , Miro , etc.)
In this final part, well explore the broader landscape of common bias traps that can compromise your survey data and discuss strategies to minimise theirimpact. Be transparent in your reporting: At the end of your insightsreport or presentation, outline the scope and limitations of this round of surveys.
In this article, Ill tell you how to: Increase user acquisition with ASO and referral programs. In fact, 72% of consumers say they only engage with personalized messaging, such as recommendations, messages, and visuals tailored to their behavior. Review your app analytics to identify underused features. Thats your opportunity.
Product discovery provides insights and evidence to make informed decisions at every stage of the Product Development Lifecycle (PDLC), ensuring the final product aligns with user needs. Reduces stakeholder resistance Clear insights help secure team participation. Lets dive in. Testing Assumptions Before Development 3.
In future articles, we will take a look at total comp, including equity and bonuses. 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. The “median” is the line inside the box that marks the 50th percentile, or midpoint of the data.
To deliver high-quality online courses we were patching together several different tools to create a good student experience. At the heart of all of my administrative troubles was the need to move data in between disparate systems and to make sure that all of these systems were in sync. It was our primary tool.
What happens when you build a product or service around what you think potential customers want, only for them to buy something else? This article will walk you through what customer research really is, from choosing your research methodology to recruiting participants, analyzing feedback , and beyond.
The tools you use determine the depth of your behavioral segmentation capabilities. Basic analytics (e.g., Google Analytics) We don’t have a dedicated tool yet Advanced product analytics platforms How do you communicate with users based on their actions?
In both years, people who reported working in a product trio were more satisfied with both their team and their company. The data confirms this. The data is simply messy. If you are reading this article anywhere other than your RSS feed reader or your email inbox, then this site is guilty of copyright infringement.
Identifying why users are leaving Proactively engaging at-risk users Measuring churn accurately How do you currently track customer health and predict potential churn? Effective customer churn prediction relies on data. Predictive churn modeling : Use tools to analyze behavioral signals before customers leave.
In this article, we explore the art and science of onboarding automation , and how it can turn that initial spark of interest into a roaring flame of engagement. Customer onboarding is the process of welcoming new customers to your product or service and helping them utilize the product and maximize the value of their purchase.
As a product manager at Userpilot, I’ve had the chance (and let’s be honest, responsibility) to try out major onboarding automation tools in this space. In this post, I’ll walk you through how these tools compare based on actual, hands-on use, not just pricing tables and feature checklists. Starts at $300/month for 1,000 MAUs.
How New Heuristics Are Reshaping the Creative Process Between Humans andMachines Image generated byChatGPT When the wave of generative AI tools began flooding the market, I must confess my reaction was mixed: a sense of fascination for the possibilities and concern for the ethical challenges looming on the horizon.
Ease of use and no-code building Powerful segmentation and user targeting Advanced analytics and A/B testing Seamless integration with our existing tech stack Ready to build the perfect onboarding wizard, code-free? Tooltip added to a Userpilot ’s analyticsdashboard. Hotspot added to a Userpilot ’s analyticsdashboard.
Now, in Part 2, we shift focus to the next critical phase: Planning for instrumentation & recruitment , ensuring youre equipped with the right tools, participants, and strategies to conduct effective, User-centred interviews. For exploratory insights, I highly recommend doing User interviews. Avoid over-representing one User type.
Tracking the right user metrics helps you precisely identify issues in the product experience rather than feeling lost in a sea of data. In this article, Ill cover 10 crucial user metrics every product manager should track to turn data into decisions that increase product adoption. Emphasis is on the word right.
Pinterest, positioned uniquely as a visual discovery engine, has significant potential to leverage personalization to foster deeper user engagement, retention, andloyalty. Key insight for Pinterest: A platform can successfully combine social personalization (friends/following-based) with content personalization.
This article is a practical guide for UX designers who want to e xplore immersive design — from key terms to real-world use cases. Affordance Visual cues that indicate how to interact with digital elements, reducing the need for instructions. Feedback System responses (visual, audio, or tactile) that confirm user actions.
We organize all of the trending information in your field so you don't have to. Join 96,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content