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
Reveal Embedded Analytics Data-driven companies have a hidden advantage! Leaders across industries are recognizing this and moving fast to prioritize data democratizationensuring data is accessible to everyoneas a foundation of their SaaSdevelopment. How is this possible?
90% of the world’s data has been created in the past 2 years, and businesses spend more than $180 billion annually on big data analytics. Today, due to the internet, softwaredevelopment companies collect such vast quantities of data that we have coined a new term for it: “big data.” What is big data analytics?
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.
This change has been primarily driven by increased access to analyticstools like Userpilot that help businesses achieve product growth. A product analyst needs to have the following skillsets: Technical skills: data analysis , data visualization, statistical analysis, and technical tools.
TL;DR A product assistant supports product managers in the SaaS industry by conducting market research , analyzing user feedback, and coordinating with cross-functional teams to guide product development and enhance softwaresolutions. Product assistants utilize a variety of tools to streamline their work.
Make Sure Your Software Usage AnalyticsSolution Was Designed For the Job. Most software companies want to know more about how their customers and trial users are engaging with their software. The solution has a name: software usage analytics. The solution has a name: software usage analytics.
TL;DR In SaaS companies, a product owner is responsible for developing the product’s vision and navigating the product roadmap to maximize value. This means defining goals to be achieved so that everyone, from the development team to the customers, is on the same page about the product’s future. Let’s dive in!
Product coordinators utilize a variety of tools to enhance their efficiency. Some key tools include Userpilot for user engagement and onboarding, Jira for project management, and Confluence for collaboration. Looking into tools for product coordinators? Book a demo to see it in action!
Whether you’re looking to deepen your expertise, stay updated with industry trends, or find practical tools to enhance your workflow, the right resources are essential for continuous growth and success. Consider Userpilot for its no-code in-app guidance and analytics capabilities. Book a demo today!
Looking into tools for product coordinators? Userpilot is an all-in-one product platform with engagement features and powerful analytics capabilities. A product coordinator is a professional responsible for supporting the product team by managing various aspects of the product development process.
Your teams are a treasure trove of knowledge, documenting their work across various tools: they write procedures in Word files on Google Drive, save PowerPoint presentations in SharePoint, and export Jira reports into Excel workbooks. Have you ever calculated the time spent searching for information across all these platforms?
Careers in data science or analytics are some of the most in-demand jobs. Exponent Anthony Pellegrino Why Choose a Career in Data Science or Analytics? Data scientists are curious and analytical. Let’s look at what is behind this growing job field and how to know if it is the right career for you.
Companies increasingly use Applicant Tracking System (ATS) to help screen resumes. ATS is a kind of automated software that scans your resumes for keywords. Recurring subscription purchases increased by 12 basis points for apps featured at the top of search. Constructed operational reporting in Tableau to improve scheduling.
Subscribe now For more: Lennybot | Podcast | Swag | Hire your next product leader | My favorite courses I’ve always been fascinated by what tools people choose to use in their work. ” we asked people what tools they most love, what tools frustrate them, and what they’d change if they could. 5% use Bolt.
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