User Guide : Filtering Feedier's insights
The filters in Feedier are tools that help you analyze your feedback data in a targeted way. They allow you to refine reports and gain a better understanding of feedback based on specific criteria.
Filters convert large amounts of raw data into actionable insights, allowing businesses to optimize the customer experience and improve their business performance.
Benefits
1. Precise targeting and advanced segmentation
Filters allow you to analyze feedback depending on specific criterias (customer profiles, products, channels, etc.) This helps you to better understand who says what, why and in which context.
2. Faster Analysis and CX Management
With filters, teams can quickly focus on the most relevant insights without getting lost in a lot of data. This makes it easier to make decisions based on actionable feedback.
3. Quick Identification of Issues and Opportunities
By filtering by satisfaction rate, sentiment score of verbatims, or NPS profile, it becomes easier to identify trends, anomalies, or opportunities and take corrective or optimization actions in real time.
4. Customization of Reports and Dashboards
Filters enable the creation of customized reports and dashboards for different stakeholders (management, product, customer service, etc.), allowing each to see the data relevant to them.
5. Accurate Tracking of Actions and Improvements
By filtering feedback by period, product, or team, it becomes possible to measure the impact of actions taken and adjust strategies based on the results achieved.
Location of Filters on the Feedier plateforme
Filters on Feedier can be found on the following pages :
Feedback flow : Instead of reviewing a large volume of feedback, filters in the feedback flow allow you to target and extract only the feedback that meets specific criteria.
Dashboard : Filters on the dashboard provide a more refined view of the KPIs.
Text analysis : All verbatims and themes displayed will be updated according to the filters applied.
Action plans : The filters in the action plan allow the AI to generate precise recommendations based on the desired criteria.
On the Text Analysis and Action Plan pages, the "Questions" filter allows you to precisely target the analysis on one or more specific questions. This feature provides a deeper understanding of feedback by isolating the most relevant insights, making it easier to grasp trends and areas for improvement.
Segments : Segments are sets of filters that you can save and reuse to optimize your analysis and save time. They can also be assigned to a user, ensuring that the filters are automatically applied upon login, providing a more personalized view of the data.
Reports : Filters on Feedier reports play a crucial role in optimizing the analysis of feedback data by enabling targeted and personalized reading of the results.
Pre-filled reports : By configuring filters before generating the report, all responses and analyses automatically adjust to the selected criteria.
Blank reports : All added charts will be directly impacted by the applied filters, ensuring consistency in the displayed data.
Graph reports : Within the report itself, each graph can be filtered individually to refine the analysis and provide a more precise and targeted view of the data.
The filter applied to a graph must be consistent with the global filter of the report to ensure correct display and relevant data analysis. For example, a period filter set to "current week" cannot be combined with a global filter set to “Week -1" as this would lead to inconsistencies in the displayed results.
However, it is also possible to ignore the global report filter for a specific graph, allowing you to isolate and analyze data independently of the report's overall framework.
The most used filters on the Feedier plateforme
You can choose from over 15 filters, allowing you to get an overview or a more detailed and precise analysis.
Attribute : On the feedier plateforme, the attributes are key business data that enrich feedback and provide context to analyses. By filtering by attribute, you get a more precise and refined view of your data, while targeting specific data based on their values. Example : City, Coundry, Product ID, Job, etc…
Time periode : The "Time Period" filter on the Feedier plateforme allows you to narrow down the feedback analysis to a specific time range. It helps identify trends, track the evolution of indicators, and compare performance across different periods.
Custom Period Selection: You can choose a specific date range to analyze feedback within that period. Example: Time period from 01/01/2025 to 01/02/2025.
Dynamic Filters: Quickly access predefined time ranges such as "Last 7 days," "Last 30 days," "Current quarter," or "Current year."
Survey: The "Survey" filter on Feedier allows you to segment and analyze feedback based on the survey they are linked to. It is especially useful for comparing results between different surveys or focusing on a specific questionnaire.
NPS: The "NPS" (Net Promoter Score) filter on Feedier allows you to analyze feedback based on respondent satisfaction and loyalty. It automatically segments users into three categories: Promoters (score 9-10), Passives (score 7-8), and Detractors (score 0-6).
Satisfaction Ratio: The "Satisfaction Ratio" filter allows you to analyze feedback based on the level of satisfaction expressed by respondents. It is based on the average scores given to questions assessing overall satisfaction.
Theme: The "Theme" filter allows you to analyze feedback based on key topics identified in textual responses. It relies on semantic analysis and artificial intelligence to automatically group verbatim responses into relevant themes.
Combining multiple filters on Feedier allows for a more refined feedback analysis, providing more precise and actionable insights.
Refine the Analysis: Example – Cross Time Period and Theme filters to track the evolution of pain points.
Target Specific Segments: Combine Attribute (e.g., region, client) and NPS to identify the profiles that recommend your business the most or the least.
Prioritize Actions: Filter by Satisfaction Ratio and Survey to identify the most effective campaigns.