The Feedier platform continues to innovate, making your feedback analysis simpler and more efficient. With version 3.25, discover two major new features: a KPI manager to create your own performance indicators and a correlation feature between attributes and topics. As a bonus, an AI-powered system now automatically generates context-aware report names.
A KPI manager designed for your needs
The KPI Manager is a new tool that allows you to create performance indicators fully tailored to your goals. With this feature, you can centralize and personalize your data for more accurate and relevant tracking.
What is a KPI, and why is it important?
A KPI (Key Performance Indicator) is a crucial metric for evaluating your performance against defined objectives. It helps you track progress, make informed decisions, and motivate your teams with clear goals. For example, a company might monitor its customer satisfaction rate or the revenue generated by a specific campaign.
How does the KPI Manager work?
A dedicated page allows you to view all your KPIs, including information such as their name, description, creation date, and author. You can easily edit or delete them. When creating a KPI, you define:
- A name to identify it.
- A description to explain its purpose.
- A unit of measure (%, €, etc.) to provide context for the result.
These KPIs are then integrated into your reports, enabling you to analyze your performance clearly and systematically using visual tables and graphs. For instance, you could track changes in customer satisfaction quarter by quarter or measure the impact of a new loyalty strategy.
Attribute-Topic Correlation: Connecting Data and Context
Version 3.25 of the Feedier platform introduces an innovative method for exploring feedback: the correlation between attributes (e.g., age or customer type) and topics identified in responses. This feature provides a more precise and contextualized view of your data.
Imagine you want to understand which customer segments frequently mention issues with “delivery.” With attribute-topic correlation, you can easily visualize these connections in just a few clicks.
This feature allows you to:
- Identify topics linked to specific attributes, such as negative feedback from urban-area customers.
- Explore relationships between multiple topics, for example, determining if feedback about “price” is often associated with “quality.”
The results are displayed as clear and interactive graphs. You can compare up to eight topics or attributes simultaneously to uncover meaningful trends, whether in terms of volume, tone (positive, neutral, negative), or satisfaction levels.
With this tool, your analyses become more relevant, and your decisions are better aligned with the specific expectations of your users.
Eureka AI: Smart reports in one lick
Creating reports with Feedier is now faster and smarter, thanks to Eureka AI. This new feature analyzes the filters you apply when creating a report and automatically suggests a relevant and descriptive title. No more manual naming, everything is designed to simplify your work and efficiently organize your documents.
When saving a report, the system replaces the default title “Untitled Report” with a name based on your selections, such as the time period, customer segments, or surveys included. For example, if you are analyzing B2C customer satisfaction for November 2024, Eureka AI might suggest: “B2C Satisfaction Report – November 2024.”
Why Use Eureka AI?
- Save time by avoiding manual naming.
- Ensure consistent titles, making organization and searches easier.
- Adjust suggestions if needed, but AI-generated titles are already optimized to accurately reflect the report’s content.
With Eureka AI, you can stay focused on analyzing your data rather than worrying about administrative details.
Analysis Filters: Focus on What Matters
Feedier’s Attribute tab now includes a personalized filtering system. This enhancement allows you to select the most relevant attributes for your analysis, making your data clearer and more actionable.
For instance, imagine you are analyzing feedback about a specific product. By applying filters, you can display only the relevant attributes, such as the region or the sales channel. If your team has designated favorite attributes, these will appear by default to streamline recurring tasks.
This filtering system helps you target your analysis more effectively and avoid unnecessary distractions, enabling faster and more informed decision-making.
Conclusion
Feedier version 3.25 simplifies and enhances your feedback management. With the personalized KPI manager, enriched attribute-topic correlation, and Eureka AI for report organization, every new feature is designed to optimize your time and decision-making.
Ready to explore these innovations? Request a demo today.
