This article provides a guide to help you build a system for improving your product using customer feedback that you can actually follow through on, rather than just collecting information.
The first step is to train your CSRs to ask two questions when handling support tickets, or in any other customer interaction where a product improvement suggestion is made.
These questions provide valuable insights into what customers want and how important each feature request is to them. This information is essential for prioritization.
This is a step-by-step process to implement a spreadsheet-based system to track and prioritize feature requests.
This method allows you to prioritize feature requests based on their potential impact and ease of implementation. The spreadsheet provides a clear overview of each request, making it easier to make informed decisions. The following table shows a sample spreadsheet to prioritize feature requests for a SaaS product sold to restaurants. The example uses a spreadsheet and formulas to track feature requests and calculate a score.
Request Number | Feature Request | Score | Difficulty Rating |
---|---|---|---|
1 | Add an option to view sales reports by customer type. | $17,600 | 5 |
2 | Implement a loyalty program feature. | $15,600 | 8 |
3 | Allow restaurants to integrate with popular online ordering platforms. | $16,400 | 9 |
This section explains how to create a system for prioritizing feature requests based on the data collected.
This article provides a simple yet effective method of prioritizing feature requests. It allows you to combine customer feedback with business goals to make informed decisions about product development.
This method can be adapted and customized to your specific needs. It provides a solid foundation for prioritizing feature requests and implementing improvements. The key is to make data-driven decisions based on customer feedback, resource constraints, and business goals.
Using a spreadsheet and a basic algorithm to track and prioritize feature requests offers a valuable tool to convert customer feedback into real product improvements. This data-driven approach ensures you're investing your time and resources in the features that matter most. It empowers you to make informed decisions about product development, align your priorities, and enhance your product's value to your customers.
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