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Guest Post by: Marvin Mathew (Mentee, Session 11, The Product Mentor) [Paired with Mentor, Jordan Bergtraum]. Ruthless prioritization translates to product teams spending time building the right thing at the right time. Each feedbackloop has a minimum of four stages. The feedbackloop process is.
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.
I was asked to give a ten-minute overview of my continuous discovery framework and then participated in a fireside chat where the host, Cecilie Smedstad , asked me to go deeper in a few areas. Discovery is a team sport. Its not the exclusive domain of product managers. I started my career as a software engineer.
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Building a foundation for growth begins with the right analyticssolution. One that can help product and marketing teams understand what drives users to engage with your product, discover new audiences, test and iterate on new experiences, and quickly measure the impact of investments.
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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?
The opportunity solution tree helps visualize all the work that goes into continuous discovery. And while opportunity solution trees have become increasingly common among product teams, there’s still plenty of room for customization, both in the way you set up your trees and the tools you use to build them.
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As a product manager, you probably know specific ways to gather data to inform your product decisions, like the ever-popular A/B test. What about the times when it doesn't make sense to A/B test, because you have too small a sample size? How to create a product culture which is data-informed , not data-driven.
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So, how do you get started with productanalytics ? In this article, we’ll talk about: What productanalytics is and why you need a solid strategy. Key steps to build and improve your productanalytics strategy. How to apply actionable metrics to different SaaS business stages. Outdated technology.
“Product thought leaders talk about an ideal way of working. I realize that many product people have never worked in a product trio , don’t have access to customers, aren’t given time to test their ideas, and are working in what Marty Cagan calls “features teams” or “delivery teams.” product outcomes).
I’m disappointed to see the rise of generative AI tools that are designed to replace discovery with real humans. But when we use generative AI to replace customer interviews , to generate opportunity solution trees , or to do our thinking for us, we fundamentally misunderstand the purpose of discovery. Don’t get me wrong.
Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics. But today, dashboards and visualizations have become table stakes.
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What happens when you build a product or service around what you think potential customers want, only for them to buy something else? But worse than that, it leads to lower revenue, failed products, and plummeting customer loyalty. The solution seems obvious: improve your customer research process. The short answer: yes.
Are you inviting your engineers to participate in discovery with you? While I don’t believe in forcing engineers to participate in discovery, I do think product teams should do everything in their power to encourage their engineers to do so. Good discovery is fueled by valuable insights gleaned during customer interviews.
In the latest TPG Live session, Driving Impact Through Influence and Experimentation , we dived into strategies product managers can use to expand their influence, foster innovation, and navigate the evolving landscape of product management. Navigating Pushback Resistance to experimentation is a common challenge for product managers.
The larger and more complex your company is, the more challenging it can be to introduce continuous discovery. Sandrine Veillet ’s Product in Practice story perfectly exemplifies this. Sandrine Veillet ’s Product in Practice story perfectly exemplifies this. Do you have a Product in Practice story you’d like to share?
Welcome to JEDI Training for Continuous Discovery Teams. I work as a productdiscovery coach. I’ve had the luxury of working with teams all over the world, and I teach them a structured and sustainable approach to continuous discovery. Here’s how I’m redefining JEDI training in a product context.
It won’t surprise you to hear that I use the same continuous discovery habits that I wrote about in my book to run my business. My primary objective across my business is to increase the number of product trios who adopt a continuous cadence to their discovery work. But blog analytics (views and shares) don’t track impact.
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. Sound familiar?
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. Helping prospects find the right product is a win-win situation. Userpilots key features include: No-code Chrome extension for building in-app flows.
There are all kinds of ways to introduce continuous discovery habits. And if you’re really excited about an idea, you might look for opportunities to share it outside your company with the broader product community. Today’s Product in Practice features a continuous discovery champion who did all three.
Manual testing of your mobile products is important and useful. Automated testing really assists with the efficiency here; being able to execute the same tests repeatedly, quickly and timely on a multitude of devices. What is Mobile Test Automation? Why do Mobile Test Automation? an app or website.
When done right, mobile surveys receive up to 3x higher response rates than traditional web surveys. 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 user feedback. What is a mobile survey?
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Guest Post by: Eric Wang (Mentee, Session 8, The Product Mentor) [Paired with Mentor, Chris Butler]. The notion of a strategy in product management seems like something that only high-level stakeholders at the executive level should care about. Make a list of the scope and the challenges to your product. Second Attempt.
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.” Today, we’re taking a slightly different approach.
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It’s true that discovery takes time. Interviewing customers , building opportunity solution trees , running assumption tests —these are all activities that take your attention away from delivery. But I’m also a firm believer that discovery doesn’t come at the expense of delivery. Teresa Torres: Hi, everyone.
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A few months ago, fellow Product Talk coach Hope Gurion and I sat down to discuss why there’s no single right way to do discovery. In this third and final conversation in the series, we discussed two core principles of continuous discovery : why it’s essential to set up compare and contrast decisions and surface and test assumptions.
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” NotebookLM started as a 20% project and has grown into a product that’s spreading across social media and has a Discord server with over 60,000 users. ” NotebookLM started as a 20% project and has grown into a product that’s spreading across social media and has a Discord server with over 60,000 users.
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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.
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