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Kano Model: What It Is & How to Use It to Increase Customer Satisfaction

Userpilot

The Kano model helps you understand user preferences by using quick and powerful data analysis to design your product roadmap. Five categories of potential customer reactions to new features. Kano analysis is effective for the following reasons: It’s a user-centric framework that’s simple to execute.

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5 Levels of Customer Satisfaction [+ How to Improve It]

Userpilot

Measuring different levels of customer satisfaction is one of the best ways to measure user sentiment. Instead of using a simple satisfied-or-not format, these levels of satisfaction allow you to get more detailed data on how users perceive your brand and find ways to improve customer retention.

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25+ Customer Satisfaction Survey Questions to Ask Users for Insightful Feedback

Userpilot

What are the right questions to ask your customers to understand user sentiment ? It’s crucial to listen to the voice of the customer and let their feedback guide your company’s growth and sustainability. And to do that, you must ask the right customer satisfaction survey questions.

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How to Improve Customer Satisfaction Scores: 14 Effective Tactics

Userpilot

Wondering how to improve customer satisfaction scores and foster long-term success for your SaaS business? Customer satisfaction has become critical for any SaaS business as customers have increasingly competitive options. Send CSAT surveys to measure overall customer satisfaction with your product.

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Drive Employee and Customer Satisfaction with SLAs

Speaker: John Goodman, Vice Chairman, CCMC, Customer Care Measurement & Consulting

Technology has elevated every aspect of the customer journey. All aspects that is, but one: customer complaints. Too often, CSRs use technology as a crutch rather than a tool, and it's starting to show--57% of customer rage results are technology-based. and master customer rage for an insightful webinar on September 23rd.

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9 Customer Analytics Use Cases For SaaS

Userpilot

Looking for customer analytics use cases that can significantly improve your SaaS? This article lists key use cases for SaaS and explains how to implement them to unlock customer satisfaction and product growth. We also cover: Customer analytics categories. The three types of customer analytics and their significance.

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10 Ways Customer Data & Machine Learning Can Enhance Customer Experience

Userpilot

Coupled closely together with Machine Learning is customer data. Combining customer data & machine learning unlocks the power of big data. This one-two combo is a great way to help enhance customer experience , one of the most impactful methods of increasing product growth. What is machine learning?

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Why Conversational AI Is Key to Customer Service in the Customer Experience Era

In today’s hyper-competitive market, every business must become a customer experience-first business. Customer satisfaction has become more important than price or any individual feature. Read the new Tractica white paper to learn how important conversational AI is to your CX strategy.

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Best Practices for Creating Long-Lasting and Continuous Discovery Habits

Speaker: Teresa Torres, Internationally Acclaimed Author, Speaker, and Coach at ProductTalk.org

Industry-wide, product teams have adopted discovery practices like customer interviews and experimentation merely for end-user satisfaction. What the keys are to unlocking a continuous cadence that is sustainable over time. These methods are better than nothing, but how can we improve on this model?

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Building a Culture of Experimentation: Using Continuous Development for Faster & Safer Product Releases

Continuous development takes things further by giving product teams more autonomy and freedom to test out their ideas and experiment with new features in production by choosing who they want to test on. Testing in production –– why it’s important, and the many ways you can deploy your features safely and efficiently.

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Your #1 KPI as a Product Manager

Speaker: Shardul Mehta, VP of Product Management, American Well

Is it on-time delivery? Customer satisfaction? The most important metric you need to track as a product manager to ensure you're actually delivering the right product to your customers. What's the #1 metric you should be tracking as a product manager? Features per release? Bugs resolved? Sprint velocity? Speed-to-market?