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
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 Lessons from Failed AI Initiatives If youve ever sat through a meeting where someone excitedly suggests Lets use AI! So, lets talk about how to getthere.
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. It covers key topics, such as: Defining UX analytics.
Opportunity solution trees help product teams chart the best path to their desired outcome. Opportunity solution trees help product teams chart the best path to their desired outcome. – Tweet This In this article, we’ll cover what an opportunity solution tree is, the benefits of using one, how to create one, and so much more.
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.
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?
Left unaddressed, customer communication painpoints can cause dissatisfaction and eventual churn. We cover: Types of customerpainpoints. How to identify customerpainpoints. Six common customerpainpoints. In-app support strategies to eliminate them.
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!
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.
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.
How product managers can understand their customers better than anyone else. If you have listened to me before, there is a good chance you’ve heard me say we need to fall in love with the customer’s problem, not our solution. Getting enamored with our solution can distract us from the customer experience.
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.
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.
In today’s competitive landscape, customer experience (CX) stands as a cornerstone of success, particularly in the financial services industry. In our digital world, it has never been easier for customers to switch banks, wealth and investment managers, or financial technologies. And listen!
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?
Most SaaS companies understand the value of user feedback , but few actually have a system in place to collect feedback and customer data. Other businesses spend a small fortune on focus groups only to end up with zero actionable feedback and insufficient analytics to make data-driven decisions.
Interested in customer segmentation analytics but don’t know where to start? We also cover: The benefits of customer segmentation analysis. Best segmentation and analyticstools. TL;DR Customer segmentation divides clients into groups with shared attributes for in-depth analysis and personalized experiences.
A customer feedback repository is the place you keep all your feedback data. What is a customer feedback repository? A feedback repository is a central location where product teams can collect and organize customer feedback. Gathering customer feedback is crucial for creating successful products.
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. Let’s get to it!
Knowing what your customer does at different stages of their relationship with you can help increase engagement, loyalty, and customer retention. You can access this information through the right customer lifecycle management software. However, it’s not easy to pick a tool among the many suitable options in the market.
It’s an organizational issue—moving quickly to beat competitors and keep up with changing customer preferences. When companies take the time to design products that match what the customer needs, profits soar, customer satisfaction (and retention) soars, and employee satisfaction gets a nice uptick too.
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.
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.
The competition for customer attention in app stores is intense , to say the least. million apps on Google Play for Android users to choose from and 2 million on the Apple App Store for iOS users, user engagement is being pulled in a million directions (literally). What is app engagement?
It takes a fair bit of effort and time to keep up with the constant innovation in the product management software space. The tools are constantly evolving and changing their pricing plans, so it may be difficult to ensure that your product team is using the right tools and getting the best value for the money.
“We’re not competitor-obsessed, we’re customer-obsessed. We start with what the customer needs and we work backwards.” – Jeff Bezos, founder of Amazon. For product managers, the path to success—both on an individual level and for the company as a whole—depends on a deep understanding of their customers.
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?
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.
How can customer experience analytics help you achieve product growth ? According to a research study by Zendesk, 52% of customers will defect to competitors after having a single bad experience. Therefore, meetingcustomer expectations with each experience with your product is crucial.
Customer insights provide intelligence and analysis about customer experience, activities, and preferences. Therefore, they are vital for effective product strategies and ensure resource allocation aligns with customer needs. Purchase data to find conversion drivers that influence users to purchase a plan or upgrade.
For this post, we spoke with a product team from Simply Business about some of the major lessons they’ve learned since adopting continuous discovery habits like interviewing their customers, questioning their assumptions , and using the opportunity solution tree to guide their work. How do we know when a painpoint is worth pursuing?
With a background in computer science and an MBA, he soon realized that understanding the markets and customers is as important as building the products. And so, in 2014, he founded Productboard , a product management system that incorporates customer feedback and insights to help product teams build better products.
How do you leverage product analytics marketing automation to boost customer acquisition, retention, and account expansion? TL;DR Product analytics marketing automation involves using product analytics to track product usage and customer behavior to develop automated marketing experiences.
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.
If you really want to build a product your users love, removing userfriction entirely is not the answer. If frictionpoints were universally bad, no product would have security checks, confirmation dialogs, or multi-step workflows. Such critical steps prevent users from making irreversible decisions.
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’s digital analytics? How can it help product and marketing teams make data-driven decisions and improve the user experience at different stages of the customer journey? TL;DR Digital analytics allows teams to measure and analyze product performance to improve their digital strategy. What is digital analytics?
Unfortunately, that technology isn’t here yet, so UX research tools are the next best thing. These tools can provide you with the qualitative and quantitative data you need to understand how your customer behaves in your product, so you can make the necessary changes to improve their experience.
That also helps with customer retention. In this blog, we’ll discuss a few techniques and tools to identify user problems. TL;DR A user problem is something a user struggles with when trying to achieve a goal or complete a task. It helps you collect data on user needs , behavior, painpoints, and preferences.
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.
Looking to track and improve customer sentiment for your brand? This article provides a detailed guide, covering: What is customer sentiment, and why does it matter for your bottom line? Proven methods to collect valuable customer feedback , from surveys to social media monitoring. Analyze user sentiment on a granular level.
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 ? TL;DR Customer success models are frameworks that help organizations ensure that customers can use their products effectively to realize their goals.
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