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How to Perform A Product Feature Analysis

User Pilot

Extract feature development insights. Best practices to help product managers perform feature analysis: Perform user research and analyze your competitors’ products to find market gaps. Encourage users to share feedback. They define the primary problem the product solves or the essential tasks it allows users to complete.

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UX vs CX (User Experience vs Customer Experience): Explaining 4 Key Differences

User Pilot

UX deals with a user's interactions with specific aspects of your product, while CX is broader and covers all customer engagements with your brand. TL;DR The user experience (UX) is the sum of a user's thoughts, impressions, and feelings as they interact with specific aspects of your product.

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25 Best User Experience Survey Questions For Collecting Actionable User Insights in SaaS

User Pilot

Do you know which user experience survey questions to ask? The right ones can give you data that uncover insights such as user sentiment and the like. This post lists the different questions to ask users on your survey concerning their experience with your software. What are user experience surveys?

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Market Gaps: 10 Ways to Spot Untapped Customer Needs

User Pilot

A market gap can be caused by missing functionality or poor user experience. Canva identified a market need for a user-friendly graphic design tool for non-designers and DocuSign for a secure solution to sign and manage digital documents and contracts. How do you tune in to what users are saying on the grapevine?

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Top 7 Reasons For Customer Churn in SaaS and Tips to Address Them

User Pilot

And how can customer success teams address them to ensure product growth? Reasons why customers churn: #1: Customers churn when there is a bad product-customer fit and your product’s features don’t align with their needs. Create a personalized onboarding flow to help users reach the Aha! moment faster. #3:

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13 Customer Discovery Questions to Ask for Valuable Insights

User Pilot

TL;DR Customer discovery questions enable product teams to better understand customer needs and problems so that they can build products that the potential customer truly needs. Other data sources include product analytics, asking customer-facing teams, competitor analysis, and industry events.

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The Three Strategic Questions Facing AI Agencies

Tom Tunguz

Classic agencies don’t value the software enough to engender pricing power, develop fast sales cycles, or change the operations of their business to maximize the value of the ML innovation. Consequently, product market fit is weak. And they ought to develop that pricing power. Third, how to employ the labor force?

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