Remove Artificial Inteligence Remove KPI Remove User Friction
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How AI is Lowering the Barrier to Entry for BI and Analytics

Birst BI

The mainstream arrival of Artificial Intelligence (AI) brings with it the potential to finally meet the demand for actionable, enterprise-wide, fact-based decision making. Historically, business users have been presented with dashboards that describe the current state of a KPI, i.e. Net Profitability, Customer Retention, and more.

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How Can Sentiment Analysis Be Used To Improve Customer Experience in SaaS?

Userpilot

Wondering how you can leverage sentiment analysis to improve customer experience? Customers are actively sharing their thoughts on social media and review sites, making these places valuable sources of customer feedback. To access this large pool of actionable data, you need to conduct sentiment analysis.

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Product to Product: Squarespace’s Inga Chen on machine learning

Roadmunk

Product to Product will feature two product people talking about one product-specific topic— like applying machine learning to the right problems and building a healthy PM culture (and what “PM culture” is). Eleni: Can you clarify the difference between AI, machine learning, and deep learning? .

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ChatGPT for Product Managers: 13 Best Prompts

Userpilot

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.), Use ChatGPT to understand the motivations, goals, and frustrations of your users. ChatGPT can also help you make sense of large datasets.

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UX KPIs In SaaS: 10 Key UX KPIs That Product Managers Should Keep an Eye On

Userpilot

UX KPIs, or user experience key performance indicators, are essential numerical data points that are used to track, measure, and compare the experience users have with your SaaS product. UX KPIs are of two types: behavioral (what your users do) and attitudinal (how your users feel and what they say).

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From Clicks to Connections: How AI is Shaping the Future of Digital Optimization

AB Tasty

Here, AI can facilitate the process by analyzing large datasets (e.g., Looking at one KPI can sometimes be enough, but it often represents only one part of a bigger story. An aptly-calibrated AI model can find hidden insights within your testing results. on-site Analytics data) to find insights humans might have missed.

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How 2 hyper-growth companies are using Mixpanel to power and improve their data operations

Mixpanel

Each set of users requires different tactics and key results. Mixpanel is a kind of master, guiding the other customer engagement platforms in order to execute these actions. We started targeted campaigns using cohorts generated in Mixpanel that went on to be distributed through customer messaging.