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
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.
I’m disappointed to see the rise of generativeAItools that are designed to replace discovery with real humans. I’m a big fan of generativeAI. I’ll then share how and where I think generativeAI can help, and clearly identify what we should avoid. Everything we do in discovery is in service of that.
How New Heuristics Are Reshaping the Creative Process Between Humans andMachines Image generated byChatGPT When the wave of generativeAItools 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.
In SaaS, the top dataanalytics trends can either be a revolution or just fluff. So what are the trends in the dataanalytics landscape that are actually important for product management ?
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.
ProductPlan excels in planning, visualizing, and communicating product strategies , notably through creating a comprehensive product roadmap. Asana is a top project management tool for helping teams organize, track, and manage work efficiently. It quickly gathers insights and validates designs.
Product analytics can help you track changing user behavior for your app but here are some industry-wide changes that are influencing purchasing decisions in 2024. Predictiveanalytics are driving business decisions such as product and marketing strategy. Here are the trends to watch out for in 2024.
We know it can be daunting to pick just one tool, that’s why we’ve created this listicle and compared 10 top tools and their features side by side, helping you make a faster decision. TL;DR Customer success software refers to tools that help manage customer experiences and drive customers toward their desired outcomes.
We’ve collected some of the best product management webinars for 2024, so you don’t miss out. TL;DR A product webinar is a virtual seminar showcasing and discussing a product's features and benefits as a marketing and sales tool. Techniques for interpreting microsurvey data to uncover actionable insights.
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. 📆 November 14, 2024 at 11:00 AM PST, 2:00 PM EST, 7:00 PM GMT
8 AI trends that will define product development By Greg Sterndale Posted in Digital Transformation , Product Published on: February 12, 2025 Last update: February 10, 2025 From modular architecture to agentic AI How product development will evolve in 2025 & beyond In product development, change is the only constant.
Doctors have employed software for years to analyze imaging data, diagnose patients, and recommend therapies. However, generativeAI substantially improves computer vision accuracy, enabling use cases previously unthinkable. This is a huge improvement above the 50% accuracy of conventional computer vision systems.
In Customer Success (CS), generativeAI is poised to be a total game changer. Our latest research report with SaaS metrics firm Benchmarkit explores this and other key takeaways. We surveyed 175 CS professionals globally for our second edition of The State of AI in Customer Success report.
A potent tool, ChatGPT has proven to be a strategic addition to the product management toolkit, churning out ideas in even the most unlikely scenarios. TL;DR The machine learning-powered ChatGPT can help product managers generate ideas, conduct market and user research , analyze data (app store reviews, user feedback, etc.),
The Product Tree is a visualizationtool that presents the hierarchy of features, from core systems to future enhancements. The Opportunity Solution Tree (OST) visualizes the connections between business goals, user pain points , and features, aiding strategic decision-making. An example of a MoSCoW model template.
Top Marty Cagan books product managers should read With all that experience, Marty surely has tons of strategies and insights to share. Offering insights on structuring teams, discovering the right products , and fostering a strong product culture, Cagan provides a blueprint for success for both startups and established companies alike.
Having the right tools to improve customer retention is vital for your company’s longevity and growth. Here are 11 of the best customer retention software to try for 2024! The best customer retention tools share these features: survey collection, customer support, marketing automation, data tracking, and datareporting.
I’m excited to offer you his insights on pricing for AI features and products, which looks very different than it does for other technologies. To ensure long-term ROI, companies have always needed to think carefully about how and when to monetize, but AI requires even deeper analysis. And what can we learn from that data?
AI for customer success (CS), as well as AI for customer service, customer education, and customer relationship management (CRM) is evolving at a remarkable pace. According to a 2024 Forbes Advisor survey , a staggering 64% of respondents in SaaS believe AI will enhance customer relations and productivity.
GenerativeAI captured the world’s imagination and received unprecedented attention. In such exciting times, it might be tempting to assume that shiny new technologies will dominate digital transformation trends in 2024. The data is consistent with my ongoing conversations with chief innovators across several industries.
In case you missed it (somehow), GenerativeAI has taken the world by storm. In the realm of B2B software, Gen AI holds immense potential to transform the way companies interact with their customers, stakeholders, and users—and even the way companies develop products. Let’s dive into Stokowski’s thoughts on Gen AI in 2024.
Types of Product Market Expansion Grid Strategies Also known as the Ansoff Matrix, the Product Market Expansion Grid (a tool used to plan, evaluate, and conceptualize business growth risks) sets out four key product expansion strategies. Join the 2024 Product Drive Summit in October. Localize your in-app messages with Userpilot.
Without further ado, here’s my perspective on how AI is becoming a crucial competitive differentiator in customer success. Revolutionizing Customer Interactions The advent of generativeAI has ushered in a new era for Customer Success teams. Learn More in Our Report: The State of AI in Customer Success, 2024 3.
Without further ado, here’s my perspective on how AI is becoming a crucial competitive differentiator in customer success. Revolutionizing Customer Interactions The advent of generativeAI has ushered in a new era for Customer Success teams. Learn More in Our Report: The State of AI in Customer Success, 2024 3.
When it comes to new technology, there’s nothing more instantly (and widely) adopted than AI. According to Gartner , companies deploying AI as a business tool are projected to surpass 60% by the end of 2024. And it makes sense: AI is a paradigm shift, because it allows teams to do more with less.
When it comes to new technology, there’s nothing more instantly (and widely) adopted than AI. According to Gartner , companies deploying AI as a business tool are projected to surpass 60% by the end of 2024. And it makes sense: AI is a paradigm shift, because it allows teams to do more with less.
Whether we’re ready or not, the Age of AI has begun. Everyone seems to be using Gen AItools to optimize their existing processes and organizations are either building AI solutions or partaking. Think Terminator….we’re we’re not there yet.
There are two sides to the coin with AI: it can help optimize your time and boost conversions, but it can also be risky if not used properly. We’ll dig into the ways AI can be a helpful tool, as well as some considerations to take. The team at MAAF used advanced AI technology to overcome this exact challenge.
Every month, a passionate group of Gainsters meet in-person at stimulating AI offsites to discuss the latest trends in AI and explore how Gainsight’s AI can shape the future of customer success and business operations. These AI offsites showcase the immense possibilities for AI to transform our entire industry.
These changes affect us both as a company and personally — from global crises to advances in generativeAI. Audi Business Innovation is driving this process with digital services and experiences that are novel and support and inspire Audi users in their everyday lives. We have hired people with PhDs in AI and data science.
If it’s a backlog full of feature requests and bugs reported directly from customers, it’s already much more valuable than a backlog full of internal ‘ideas.’ If your backlog is full of feature requests and bugs reported directly from customers, it’s already much more valuable than a backlog full of internal ‘ideas.’
AI for customer success (CS), as well as AI for customer service, customer education, and customer relationship management (CRM)—and virtually every area of business—is evolving at a remarkable pace. That’s why we put together the Essential Guide for How to Leverage AI as a CS Leader.
By Greg Sterndale Posted in Digital Transformation , Product Published on: November 15, 2024 Last update: November 15, 2024 Five questions to help kickstart your AI journey Few industries stand to gain as profoundly from AI advancements as life sciences. Do you have the right data infrastructure and governance in place?
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