Data Visualization Embedded Analytics Generative AI 
Userpilot
APRIL 24, 2024
Generative AI has changed how tech companies do business. companies use AI in their operations and the number of jobs requiring AI has increased by 450% since 2013. In 2023, over 26% of investments in American startups were directed toward AI-related companies. How to implement AI to build better products.
Userpilot
JULY 29, 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.
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Userpilot
JULY 20, 2023
The undeniable advances in artificial intelligence have led to a plethora of new AI productivity tools across the globe. If you’re looking to accelerate product growth and adoption with the help of AI, you’re in the right place. Grammarly: fix typos and grammar but also rephrase your content using AI.
Department of Product
SEPTEMBER 14, 2023
Height is a new project management tool for product teams and they’ve just launched 2.0 which gives product teams AI super powers. Permit is a full stack plug and play tool that allows product teams to decouple policies from code by introducing permissions on the front end, backend and via no-code drag and drop elements.
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In the fast-moving manufacturing sector, delivering mission-critical data insights to empower your end users or customers can be a challenge. Traditional BI tools can be cumbersome and difficult to integrate - but it doesn't have to be this way.
Department of Product
NOVEMBER 2, 2023
Plain describes itself as ‘CS without the BS’ and is positioning itself as a modern customer service tool to support modern product development teams. The company raised $6 million in seed funding last year and is hoping to become part of the modern product team’s tool stack.
Product Talk
OCTOBER 18, 2023
What tools should you use to test your assumptions? Define your ideal customer profile and generate the assumptions that it depends upon. Do a data audit and examine the ethical assumptions related to your data policies. Data mining: the use of existing data to evaluate the inherent risk in an assumption.
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