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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?
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.
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.
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.
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.
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.
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. The company operated a softwareplatform for their call center, managing customer communications while ensuring compliance with state regulations.
I’m going to take a wild guess and assume that you already understand the importance of mobile in-appfeedbacktools. You might already have a Voice of the Customer (VoC) program in place that you’re looking to improve, or perhaps you’re just trying to get started. Now, more than ever, your customers want to be heard.
Most product teams get mobile appanalytics wrong. They track 47 different key performance indicators (KPIs) in their mobile analyticsplatform , spend hours debating dashboard numbers, yet can’t predict which users will churn next week The problem here isn’t a lack of data.
In the rapidly evolving healthcare industry, delivering datainsights to end users or customers can be a significant challenge for product managers, product owners, and application team developers. But with Logi Symphony, these challenges become opportunities. But with Logi Symphony, these challenges become opportunities.
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?
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.
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.
What separates a good app from a great one? It’s what you do with the behavior data your app collects. And by behavior data, I dont mean installs (thats the easy part). I mean what happens after the download: how users navigate, what features they engage with, and where they drop off.
Think your customers will pay more for data visualizations in your application? Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics. Five years ago they may have. But today, dashboards and visualizations have become table stakes.
In this post, were exploring the conversation we had in one of our Productside Stories episodes this season with Joeri Devisch , a veteran of product, technology, and transformation work at global companies. Joeri makes it clear: the future of innovation is human-centered, customer-driven, and iterative by design.
When your company adopts multiple SaaSsolutions 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.
You can gather all the userfeedback or behavioral data you want or even generate tons of Google Analytics reports. 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.
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?”
The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. Together, we can overcome these hurdles and empower your users with the data they need to drive success.
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!).
Which product feedbacksoftware should you choose for your SaaS? The choice is tough because there’s no single tool that covers all use cases. In this round-up, I cover 21 of the best product feedbacksoftwaresolutions. Free trial?
We covered how to manage messy opportunity solution trees , the most common challenges teams face when getting started with the discovery habits, what Im working on next, and so much more. I started my career as a software engineer. How are we building production-quality software? I think that was in 2004.
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. Before founding Viable, he held senior leadership roles in engineering, technology, and product.
In the fast-moving manufacturing sector, delivering mission-critical datainsights to empower your end users or customers can be a challenge. Traditional BI tools can be cumbersome and difficult to integrate - but it doesn't have to be this way.
It’s no longer about making decisions purely based on your intuitions or stakeholder requests, but finding ways to integrate touch points with customers into your work every week—if not every day. In each instance, Ellen found a solution that didn’t require too much time or technical know-how to set up.
What happens when you build a product or service around what you think potential customers want, only for them to buy something else? For starters, it shows you dont know your customers well enough. But worse than that, it leads to lower revenue, failed products, and plummeting customer loyalty. The short answer: yes.
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. This leads to errors like sending a product update notification at 1 AM or showing the wrong message to the wrong user segment. Lets get started.
When it comes to continuous discovery , there’s no such thing as “the perfect tool.” Instead of seeking the best tool out there, it’s much more effective to look for the best tool for your team. Teresa often says, “The best tool is the one that your team will use.” You may want to speak with existing customers or users.
Download this whitepaper to learn what contextual analytics is, how BI platforms like Yellowfin revolutionize the way users discover insights from their data with native contextual analytics, and how it adds value to your softwaresolution by elevating the user experience.
With 85% of adults keeping their smartphones within arm’s reach at all times, mobile surveys have become the most direct route to gathering authentic userfeedback. Companies that simply shrink their desktop questionnaires to fit smaller screens end up with frustrated users and compromised data.
Delivering great AI customer service 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.
Your app experience makes or breaks user loyalty: the slightest improvement can boost retention and revenue. Friction points, like confusing onboarding or sluggish navigation, can turn new users into churn statistics. How can Userpilot help you improve the mobile app experience? Segment users in Userpilot.
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?
Speaker: Dean Yao, Director of Marketing at Jinfonet
What's the next big trend in analyticssoftware and applications? You've probably used it without even knowing: embedded reporting and analytics. Software development teams more often now are embedding 3rd party analyticssolutions into their products and applications to let them focus on other core areas of their software.
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 predictive analytics.
When the process feels complicated, it becomes easy for a new user to lose interest before they experience the true value of your product. Gamification onboarding and the right user onboarding software can turn your product experience into something enjoyable. The user engagement rate is low. Launching a new product.
An interactive demo is a self-guided walkthrough that uses tooltips, modals, hotspots, and other interactive elements to help users quickly explore your SaaS product. Why build interactive demos for your SaaS product? This both shortens the sales process and enhances the customer experience. This results in faster Aha!
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. But if you ask me, theres simply no one-size-fits-all solution. What works for a startup might not scale for an enterprise.
Efficient usage data collection and analytics can open up significant possibilities for suppliers. Organizations that place a premium on understanding product usage seem to have fewer hurdles to aligning price with value and are more in touch with their customers than organizations that don’t prioritize understanding product usage.
Customer Retention Rate (CRR) is a key business performance metric that measures the percentage of customers a company retains over a givenperiod. CRR formula, reference values andexample Customer Retention Rateformula Number of customers at the end of the period : Total number of customers at the end of the measuredperiod.
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 appuser behavior takes more planning. And the behavioral data you do collect depends on what you choose to track and how you track it.
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.
Tracking mobile app performance metrics can feel daunting. One look at your mobile appanalytics dashboard, and you just want to shut your eyes and scream in frustration. You aim to extract meaningful insights to improve app performance and user engagement. What decision will this data influence?
In today’s ambitious business environment, customers want access to an application’s data with the ability to interact with the data in a way that allows them to derive business value. After all, customers rely on your application to help them understand the data that it holds, especially in our increasingly data-savvy world.
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