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Record is the only tool that sees the importance of the process that starts at the user and ends in an internal department like R&D or Product.

Here are some reasons why you can benefit by using Record:

Better NPS and happy customers

<aside> 💡 Provide your user with a better way to tell their story while providing all the data you need natively from your product without downloading anything in a personalized way.

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Better communication and reduce the number of touch points external and internal

<aside> 💡 Every user session and record is built with the data needed in order to fully understand any user issue. we include user and device information, window attribute, logs, and network data alongside sentiment, emotion, and behavior analysis.

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Cut the support time by at least 66%

<aside> 💡 By using Record to its full capacity, you can start from vague user descriptions and easily find other users who have experienced the same issue. This will allow you to gather all the data that is common between them, making it easier to spot the root cause of the problem and fix it. Furthermore, you can use our AI insights to direct you to where you need to be and what you need to do.

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Help you to focus on growth

<aside> 💡 By reducing the time needed to reproduce bugs, finding patterns, and communicating with other internal departments, we free you and your colleagues to focus on what matters and achieve better growth.

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Better product, success, support, and R&D decision making

<aside> 💡 Using record data to fully understand information and make not only better support process decisions but also UX and UI decisions will dramatically reduce the number of tickets open.

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Proactive support - Reduce the number of tickets

<aside> 💡 Use ticket data to find similar users who experience the same issues. Catch issues before they become tickets using smart investigations and keep monitoring the things that matter.

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Analyze users feedback

<aside> 💡 analyze user feedback to see what they do and what they say and what they fill about any part of your product using emotion analysis, automatic tagging, and emotion dictation.

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If you need more information or help with the implementation - please don't hesitate to reach us at [email protected]. We will be happy to help

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