Examples Related Topics 
Userpilot
APRIL 21, 2024
Let’s explore how a customer onboarding dashboard works and see different examples. We’ll go over 6 examples of customer onboarding dashboards that you can get with Userpilot, and they include: Set up feature tags and in-app events dashboard to track customer behavior , including feature usage , event occurrence, and user activity.
Userpilot
MARCH 27, 2024
That said, let’s explore some secondary navigation examples, the role of secondary navigation in UX, the key differences between primary and secondary navigation, and share some strategies to aid your navigation. The secondary navigation of your website or application can make or break product engagement —that’s how essential it is.
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Userpilot
MAY 7, 2024
We handpicked a few of the best SaaS walkthrough examples and explained what made them great. 10 interactive walkthrough examples that guide new users: Rocketbots — Welcome survey and interactive walkthrough. 10 interactive walkthrough examples that guide new users Now, we get to the core of this article. Reduce time to value.
Userpilot
MAY 8, 2024
To help you with it, we’ve put together a user needs analysis example that outlines the key steps. Example: how can an email service provider conduct a user needs analysis? Taking the example of an ESP, let’s say you find that most of your user base comprises enterprise customers and startup owners only make up a tiny fraction.
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Download the Definitive Guide to learn why dashboard design matters, and how to do it well.
Userpilot
APRIL 29, 2024
For example, age or product usage patterns. Different use cases of segmentation + example questions in SaaS How many types of segmentation do you know? Let’s have a look at a few, along with question examples. Let’s take a project management tool as an example. These are the main questions the article tackles.
Crafty CTO
APRIL 28, 2024
In making these updates, I dug around in the OpenAI docs and came across a pair of new Vision examples in the OpenAI Cookbook that take advantage of the April 9th model, applying function calling driven from image inputs.
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For example, instead of a graph with six related nodes, you get a resolved graph that condenses six nodes into one person. Critical graph visualizations with overly complex nodes and connections transform into network graphs that are much easier and faster for analysts to understand.
Advertiser: ZoomInfo
You’ll get a deep dive on: Proven methods for warming up cold calls Coaching points for responding to price pressure early and often Front-line examples of how to win the battle for customer retention This guide is designed to help today’s B2B sales leaders ramp up their effectiveness in any economic environment.
Advertiser: ZoomInfo
Dig into our data-backed guide to learn: Proven methods for warming up cold calls Coaching points for responding to price pressure early and often Front-line examples of how to win the battle for customer retention
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In this whitepaper, you’ll see real-world examples from leading B2B businesses and learn new ways of using data to: Improve lead quality. As B2B companies pivot to keep pace with a quickly changing marketplace, a data-centric approach to lead generation can be the difference between remaining competitive or being left behind.
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Real-world examples from 9 companies applying deliverability best practices. Data Axle’s deliverability experts developed this guide to help you overcome the challenges that stand in the way of optimal inboxing. You’ll learn: The most common deliverability issues and why they happen.
Advertiser: Data Robot
Numerous high-profile examples demonstrate the reality that AI is not a default “neutral” technology and can come to reflect or exacerbate bias encoded in human data. The risk of bias in artificial intelligence (AI) has been the source of much concern and debate.
Speaker: Eric Feinstein, Professional Services Manager, Looker
He will use the example of a product manager of a learning management software system and how she would go through the process of defining reporting for users of the product. Fortunately, there are new technical approaches that are making this a significantly different picture, although there are still lots of interesting design challenges.
Advertiser: Data Robot
Estimating the risks or rewards of making a particular loan, for example, has traditionally fallen under the purview of bankers with deep knowledge of the industry and extensive expertise. Banks have always relied on predictions to make their decisions. But times are changing.
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