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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. Key steps to build and improve your product analytics strategy. How to apply actionable metrics to different SaaS business stages. What is product 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.
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.
What separates a good app from a great one? It’s what you do with the behavior data your app collects. I mean what happens after the download: how users navigate, what features they engage with, and where they drop off. All questions you can only answer with: Mobile app tracking. What is mobile app tracking?
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. The AI for AIs Sake Crowd : Teams that implement AI solutions without checking if anyone actually needs or wants them. The future of AI in business isnt about dreaming big.
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.
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.
Start by creating onboarding flows that are as unique as your users. Focus your attention on their painpoints , needs, and desires. Use welcome surveys to identify users’ jobs to be done and use cases. Determine user roles to tailor their experiences. Finally, recreate the relevant path for new users.
Customer support is more business-critical than ever. But in today’s fast-paced world, your customer support can only be as effective as the technology that underpins it. Study after study shows that the vast majority of support teams are unhappy with their current customer support tech stacks. Is your tech stack ready?
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.
If youve recently launched a mobile app and want to increase appusers, its going to be an uphill battle. Because most mobile apps lose 77% of their users within 3 days! Sure, you could blame onboarding or a clunky user interface. User acquisition isnt a one-time campaign.
Left unaddressed, customer communication painpoints can cause dissatisfaction and eventual churn. This article aims to help you avoid that. We cover: Types of customerpainpoints. How to identify customerpainpoints. Six common customerpainpoints.
Regular touch points with customers are a pillar of continuous discovery. If you’re not regularly talking directly with your customers, you increase your risk of building a product that no one wants or needs. Regular touch points with customers are a pillar of continuous discovery. Tweet This. Tweet This.
When you start interviewing customers every week, it’s easy to get overwhelmed by how much you are learning. When we use our customer interviews to collect specific stories about past behavior, every conversation can uncover dozens of unmet customer needs, painpoints, and desires (AKA opportunities).
Looking for the best customer success management software to power up your product growth strategy, but you are overwhelmed with so many options in the market? TL;DR Customer success software refers to tools that help manage customer experiences and drive customers toward their desired outcomes.
Are you on the lookout for tools that can help you improve customer retention ? There are quite a few solutions around, so it might be difficult to find, especially as we’re not talking about one specific set of tools but rather a whole range of different solutions covering a range of use cases.
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 are digital recordings of user interactions with a website or app. However, session replay analyticstools don’t record users’ screens.
Help center software allows you to juggle feature rollouts, bug fixes, and user onboarding without keeping up with endless tickets. By using in-app support solutions for quicker issue resolution, you can maintain smooth experiences without sacrificing precious hours. What are the different types of help center software?
In this article, I’ll cover assumption testing from beginning to end, including: Why should product teams test their assumptions? What tools should you use to test your assumptions? When we hear about an unmet customer need, painpoint, or desire, we often jump to our first solution. I want to change that.
Looking for the best customer experience management software to fuel growth and drive product adoption ? This comprehensive guide breaks down the top 10 platforms, comparing features, pricing, and benefits to help you make an informed decision. Are you looking to map your customer journey for marketing automation purposes?
I mean frictionless, user-obsessed, data-driven design choices that guide your customer from just browsing to Add to Cart without ahiccup. Ever wondered why some eCommerce websites seem to effortlessly turn casual browsers into loyal customers while others struggle to keep visitors engaged?
The problem with asking people to explain the processes and painpoints they have within the B2B space is that, at its most basic, you’re asking someone how they do their job and people are a little too used to talking about this to think about it creatively without prompting. System two – slow, effortful and conscious thinking.
This approach focuses on understanding customer needs, generating quality ideas, and turning those ideas into real value. It’s what helps create products that customers love and keeps companies successful in the long run. Staying Close to Customers A big part of successful innovation is keeping a close connection with customers.
Whether you consider your user base in light of market research or user research, both of these kinds of researchers use the patterns they discover to form personas. User personas stand in for users throughout the design of your product. Each one has at least one goal and at least one painpoint.
According to a 2024 analysis , on average, over 95% of users who download a new mobile Android app abandon it within the first 30 days. This stark statistic underscores a simple truth: a solid mobile app engagement strategy is essential for your app’s success. Put simply, app downloads are great but insufficient.
Interested in customer segmentation analytics but don’t know where to start? In the article, you will learn how to do it, step-by-step. We also cover: The benefits of customer segmentation analysis. Best segmentation and analyticstools. It focuses on existing customers, not prospective ones.
What is data-driven analytics in SaaS? How to conduct user data analysis? What are the best analyticstools for the job? We answer these questions in the article, so if you’re looking for answers, you’re in the right place! This improves customer satisfaction and retention.
Looking for customeranalytics use cases that can significantly improve your SaaS? This article lists key use cases for SaaS and explains how to implement them to unlock customer satisfaction and product growth. We also cover: Customeranalytics categories. Identify friction and remove it.
Customer interviews are one of the most impactful activities a product team can do. Customer interviews are one of the most impactful activities a product team can do. Tweet This An early customer interviewing mistake is to spend your interview time exploring your solution ideas. But only if we use the right methods.
What if you could read your customers’ minds? While mind-reading might be out of reach, customer segmentation models are the next best thing. By understanding and grouping your customers based on their behaviors and preferences, you can create personalized experiences that actually engage customers.
Artificial Intelligence is revolutionizing how SaaS product teams work by increasing efficiency and productivity, reducing costs, and most importantly, facilitating data-driven decision-making. In this article, we look at how you can use AI to gain in-depth customer insights and how to leverage them to improve the product.
How many financial apps do you have on your phone, and how often do you use them? Chances are the ones you frequently use have a simple, intuitive app onboarding process. If you’re a financial services product manager, you’ll know that crafting an effective fintech app onboarding process is no small feat.
According to the 2024 State of CX Personalization Report by Medallia, customers who go through very personalized experiences rate their overall satisfaction as 9.4 By developing a customer segmentation strategy, you can build the right segments, analyze their behavior, and set tactics to reach them through tailor-made initiatives.
This includes the SaaS industry too. From marketing to product management and customer success, AI is improving productivity, helping teams make better decisions, and improving customer experience. In this article, we explain: Why investing in AI in SaaS is a must. What AI tools you can use.
Interested in building a B2B customer journey map? At the very least, a journey map will help you easily analyze and make data-driven decisions to improve the user experience. It also helps align your teams by ensuring everyone is on the same page regarding customer interactions. What is a customer journey map?
Why should you adopt a customer-led growth strategy in your SaaS? Is it possible to increase user engagement by focusing on a customer-led growth strategy and hit the metrics you are hoping for? Specifically, we’ll consider: Three reasons why the customer-led growth approach is the best go-to-market strategy.
Great SaaScustomer support is the key to keeping your customers happy and satisfied with your product. It powers your customer relationships, enabling you to build lasting connections with customers. This article examines how to create an exceptional customer support strategy.
From marketing funnel analysis to review funnel analysis, this article shows you the most important funnels for SaaS. Discover the critical stages of each funnel and tools that help you gather actionable insights. Identify friction areas. Map out each stage in the customer journey. What are their painpoints?
How to create customer feedback systems to gain insights into user needs ? This is the key question we discuss in the article, so if you’re after the answer, you’re in the right place! It also allows them to make informed product development decisions, and improve customer satisfaction and loyalty.
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.” It keeps us focused and ensures that we create value for the business while meeting customer needs. said “Never.”
As your business grows, you can expect the number of support tickets to increase and the stress levels of your customer service team to go up. Building a knowledge management system can stem the tide, keeping your customers happy and ensuring your support agents can focus on more important tasks. Create granular content.
The effectiveness of a design system cannot be assumed; it must be actively measured and optimized over time. A robust design system should not only streamline design and development processes but also ensure scalability as the organization grows, adapts to new platforms, and handles diverse product requirements.
What are the most common customer success models? What factors should you consider when choosing one for your SaaS business to provide the best assistance to your customer ? These are the main questions we discuss in this article. A hybrid model combines elements of the two models to tailor the assistance to user needs.
What is a product analytics framework and why is it important? These are only two of the many questions this article tackles. We also look at: Different types of analyses to include in your framework How to develop a product analytics framework And, the best product analyticstools. Book the demo to find out more.
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